Patent application number | Description | Published |
20080212676 | Motion parameter engine for true motion - Local motion estimation is described herein. Each picture of a video is partitioned into blocks for the local motion estimation. An extended-block FFT is calculated for each block, where the extended-block denotes that a certain area around the block is also included for applying FFT. Extending the block for FFT helps to account for the motion of objects that are moving into or out of the block. Phase correlation is applied to attain a set of Motion Vector (MV) candidates for the blocks, and a cost function is evaluated for each MV. If no MV candidate produces a cost function below a pre-defined threshold, a hierarchical variable block matching search is applied and the process is repeated with blocks for finer resolution. Also, predictive MV candidates are used during the block matching search along with temporal constraints tracking to select an MV that yields the minimum cost function. | 09-04-2008 |
20080212687 | High accurate subspace extension of phase correlation for global motion estimation - A method for achieving high sub-unit accuracy during global motion estimation of sequential video frame images is described herein. The method estimates the global motion using an existing phase-correlation approach, and further refines it to a sub-unit level using the neighborhood values of the phase correlation surface peak The method determines the sub-unit displacement direction by examining the signs of the peak of phase correlation surface and its two nearest neighbors. The method determines the sub-unit displacement magnitude by applying the ratio of associated phase correlation values to a 5 | 09-04-2008 |
20090074058 | CODING TOOL SELECTION IN VIDEO CODING BASED ON HUMAN VISUAL TOLERANCE - In one embodiment, a coding mode selection method is provided to improve the visual quality of an encoded video sequence. The coding mode is selected based on a human visual tolerance level. Picture data may be received for a video coding process. The picture data is then analyzed to determine human visual tolerance adjustment information. For example, parameters of a cost equation may be adjusted based on the human visual tolerance level, which may be a tolerance that is based on a distortion bound that the human visual system can tolerate. The picture data may be analyzed in places that are considered visually sensitive areas, such as trailing suspicious areas, stripping suspicious areas, picture boundary areas, and/or blocking suspicious areas. Depending on what kind of visually sensitive area is found in the picture data, a parameter in a cost equation may be adjusted based on different visual tolerance thresholds. The coding mode is then determined based on the cost. | 03-19-2009 |
20090238535 | MERGING VIDEO WITH TIME-DECIMATED HIGH-RESOLUTION IMAGERY TO FORM HIGH-RESOLUTION VIDEO FRAMES - Apparatus and methods for generating a shutter-time compensated high spatial resolution (HR) image output by enhancing lower spatial resolution (LR) video images with information obtained from higher spatial resolution still images which are temporally decimated. Super-resolved images and LR SAD information is generated from the LR images and used for directing the extracting of information from the temporally decimated HR images to enhance the spatial resolution of the LR images in a blending process. By way of example blending can comprise: motion estimation, motion compensation of a temporally displaced HR still images and a super-resolved (SR) image input, transformation (e.g., DCT), generating motion error output, blending motion compensated images in response to LR motion error information; inverse-transformation into a shutter-time compensated HR video image output. Accordingly, a more cost effective solution is taught for obtaining a desired shutter time and video resolution. | 09-24-2009 |
20090245375 | RECURSIVE IMAGE QUALITY ENHANCEMENT ON SUPER RESOLUTION VIDEO - Method and apparatus for improving the quality of super-resolution video imaging by suppressing ringing artifacts, reducing high-frequency noise, reducing blocking artifacts, and smoothing out jagged edges of the image to generate pictures that appear cleaner with less edge degradation. The method operates in a recursive manner within a sequence of low resolution images. Conventional SR processing is primarily enhanced within the invention by adding an artifact suppression section which creates a high frequency component signal ΔSR | 10-01-2009 |
20090257652 | AUTOMATIC IMAGE COLOR TONE CORRECTION - A method of image color tone correction is disclosed, which may include the steps of (a) providing a reference image and one or more source images, wherein all images are comprised of pixels of a scene; (b) correcting a designated portion of one of the source images based on the reference image to create a color tone corrected image; and (c) outputting the color tone corrected image to a computer readable medium. The designated portion may be any subset of one of the source images, and may be a simple cropping, interlace, or other form of selection, such as areas of interest in the scene. Additionally, the designated portion may be used for determining a set of coefficients for overall color image correction of the complement of the source images. This method brings the increased tonal and saturation qualities of still images to those in motion. | 10-15-2009 |
20090257684 | METHOD AND APPARATUS FOR SUPPRESSING RINGING ARTIFACTS WITHIN SUPER-RESOLUTION IMAGE PROCESSING - Apparatus and methods for reducing ringing artifacts when generating super-resolution pictures and/or videos and for controlling the balance between sharpness and introduction of artifacts. After motion estimation and motion masking for all input frames, the method enters a frame loop within which high frequency information is extracted from the input SR image for each low-resolution input image. Extracted information from each input frame is not directly utilized within the frame loop for changing the SR input as with conventional SR processes, but is used within a means for averaging high frequency information over a desired number of frames (N) and outputting higher resolution versions of low resolution images. Changing (N) alters the tradeoff between ringing suppression and sharpness boosting. Invention can be implemented in a number of imaging apparatus, in particular those having a processor for executing the method steps. | 10-15-2009 |
20090262800 | Block based codec friendly edge detection and transform selection - Low complexity edge detection and DCT type selection method to improve the visual quality of H.264/AVC encoded video sequence is described. Encoding-generated information is reused to detect an edge macroblock. Variance and Mean Absolute Difference (MAD) of one macroblock shows a certain relationship that is able to be used to differentiate the edge macroblock and the non-edge macroblock. Also, the variance difference of neighbor macroblocks provides a hint for edge existence. Then, a block-based edge detection method uses this information. To determine the DCT type for each block, the detected edges are differentiated as visual obvious edge, texture-like edge, soft edge and strong edge. 8×8 DCT is used for texture-like edges and the 4×4 DCT is used for all the other edges. The result is an efficient and accurate edge detection and transform selection method. | 10-22-2009 |
20100027905 | System and method for image and video encoding artifacts reduction and quality improvement - Reducing artifacts and improving quality for image and video encoding is performed in one pass to preserve natural edge smoothness and sharpness. To reduce artifacts and improve quality, several steps are implemented including spatial variation extraction, determining if a block is flat or texture/edge, classifying the pixels as texture or noise, detecting a dominant edge, checking the spatial variation of neighboring blocks, generating base weights, generating filter coefficients, filtering pixels and adaptive enhancement. A device which utilizes the method of reducing artifacts and improving quality achieves higher quality images and/or video with reduced artifacts. | 02-04-2010 |
20100067818 | System and method for high quality image and video upscaling - A low complexity upscaling method to generate higher resolution image and video with high quality is described herein. Natural edge smoothness and sharpness are preserved while overshooting artifacts and the “edge dilation” problem are eliminated. To obtain edge smoothness and remove jaggy artifacts along the edge, a bi-directional filtering which is based on two orthogonal directions is used to generate higher resolution pixels. The direction close to the edge direction is heavily weighted, and the direction far from the edge direction is lightly weighted. The weight of each direction is determined by the developed directional vector difference measurement method. To eliminate the overshooting artifacts and solving the thick edge problem, a dual-sided interpolation method is implemented. By using the dual-sided interpolation method, the interpolation result is pushed towards a dominant transition desired location which removes overshooting artifacts. A thin and sharp edge is obtained instead of a blurred, thick edge. | 03-18-2010 |
20100226437 | REDUCED-RESOLUTION DECODING OF AVC BIT STREAMS FOR TRANSCODING OR DISPLAY AT LOWER RESOLUTION - A method of and system for reducing complexity for transcoding Advanced Video Coding (AVC) videos is described herein. Transcoding from higher resolution signals to lower resolution signals or to signals for a lower resolution display is implemented. The complexity is reduced by decoding the AVC video at reduced horizontal and/or vertical resolution. This results in the reduction of computation cost for decoding and re-sampling the AVC video to lower resolution. | 09-09-2010 |
20100226567 | COLOR EFFECTS FOR COMPRESSED DIGITAL VIDEO - Implementing color effects in compressed digital video is improved upon by re-using the original video's compression parameters during the re-encoding stage, such that the parameters do not need to be re-estimated by the encoder. This improved method reduces complexity and also improves quality. Quality is improved due to re-use of the compression parameters since accumulated error which is common when re-encoding compressed video is prevented. For digital negatives, the effect is able to be implemented even more efficiently. | 09-09-2010 |
20100253817 | ORIENTATION-BASED APPROACH FOR FORMING A DEMOSAICED IMAGE, AND FOR COLOR CORRECTING AND ZOOMING THE DEMOSAICED IMAGE - A method and apparatus for forming a demosaiced image from a color-filter-array (“CFA”) image is provided. The CFA image comprises a first set of pixels colored according to a first (e.g., a green) color channel, a second set of pixels colored according to a second (e.g., a red) color channel and a third set of pixels colored according to a third (e.g., blue) color channel. The method may include obtaining an orientation map, which includes, for each pixel of the color-filter-array image, an indicator of orientation of an edge bounding such pixel. The method may further include interpolating the first color channel at the second and third sets of pixels as a function of the orientation map so as to form a fourth set of pixels. The method may also include interpolating the second color channel at the first and third sets of pixels as a function of the orientation map and the fourth set of pixels; and interpolating the third color channel at the first and second sets of pixels as a function of the orientation map and the fourth set of pixels. | 10-07-2010 |
20100254630 | METHOD AND APPARATUS FOR FORMING SUPER RESOLUTION IMAGES FROM RAW DATA REPRESENTATIVE OF COLOR FILTER ARRAY IMAGES - A method and apparatus for generating a super-resolution image are provided. The method may include obtaining a first set of RAW data representing a first image captured at a first resolution and obtaining, from the first set of RAW data, at least one first sample of data associated with the first image. The method may also include obtaining a second set of RAW data representing a second image captured at the first resolution, and performing image registration as a function of the first set of RAW data and the second set of RAW data so as to obtain at least one second sample of data associated with the second image. The first set of RAW data is used as a reference for the second set of RAW data. The method further includes combining the at least one first sample of data with at least one second sample of data to form a collection of samples, and interpolating the collection of samples to form the super-resolution image. | 10-07-2010 |
20100265313 | IN-CAMERA GENERATION OF HIGH QUALITY COMPOSITE PANORAMIC IMAGES - Apparatus and method for automatically generating panoramic still photographs from a sequence of images collected during panning. Programming within the camera allows creating the panoramic image output from multiple captured stills and/or video frames without laborious user “stitching”. A sequence of images are captured under control of the camera which span a desired subject area being panned (in any direction) by the user. As the images are being captured, the programming assures that the edges of adjacent images in the sequence sufficiently overlap one another as the desired subject area is being panned, as well as controlling other necessary camera adjustments (e.g., maintaining fixed focus). A set of sequential overlapping image frames is collected and combined to create at least one panoramic still photograph. The user can preferably change settings to control how the images are put together into the panoramic image output. | 10-21-2010 |
20100265357 | GENERATION OF SIMULATED LONG EXPOSURE IMAGES IN RESPONSE TO MULTIPLE SHORT EXPOSURES - Simulating a long exposure-time image from a sequence of short exposure-time images captured at slightly different times. The sequence of images is combined in a temporal integration process to create a long exposure image that simulates the output from a still camera, steadied by a tripod, whose light-sensitive material has been exposed to the same scene from the time of the beginning of the first input image of the sequence to the last image of the input sequence. The method overcomes limitations of hand-held video and image recording devices, allowing the user to easily create effects normally associated with high-end digital still cameras under expert control. | 10-21-2010 |
20100321513 | CONTENT ADAPTIVE DETECTION OF IMAGES WITH STAND-OUT OBJECT - Content adaptive detection of images having stand-out objects involves block variance-based detection and determining if an object includes a stand-out object. The images with a stand-out object are further processed to isolate an object of interest. The images without a detected stand-out object are further processed with a transition map-based detection method which includes generating a transition map. If an object portrait is determined from the transition map, then the image is further processed to isolate the object of interest. | 12-23-2010 |
20100321531 | SYSTEM AND METHOD FOR IMAGE QUALITY ENHANCEMENT BY REDUCING THE EFFECTS OF AIR POLLUTION AND HAZE - A low cost image quality enhancement method to be utilized in an ordinary consumer camera and for post processing of an existing image database is described herein. The quality enhancement is transferred into an adaptive intensity stretching process in the YUV domain. A different enhancement process is designed for a luminance (Y) channel and chrominance (UV) channel. The parameters in the enhancement process are estimated based on the contents of the image. After the stretching-based enhancement, an adaptive unsharp masking process is applied to the luminance data. The quality is significantly improved for the images shot under unfavorable conditions. | 12-23-2010 |
20110069884 | SYSTEM AND METHOD FOR "BOKEH-AJI" SHOT DETECTION AND REGION OF INTEREST ISOLATION - A “Bokeh-Aji” image is one in which the region of interest is in focus and the background is out of focus. Detection of “Bokeh-Aji” type images and then isolation to the region of interest area in a low complexity way without any human intervention is beneficial. A set of tools for performing this task include SAD and high pass filtering based in-focus/out-of-focus area separation, in-focus/out-of-focus block distribution based “Bokeh-Aji” shot detection and region of interest isolation. By effectively integrating these tools together, the “Bokeh-Aji” images are successfully identified, and the region of interest area is successfully isolated. | 03-24-2011 |
20110176013 | METHOD TO ESTIMATE SEGMENTED MOTION - A method to estimate segmented motion uses phase correlation to identify local motion candidates and a region-growing algorithm to group small picture units into few distinct regions, each of which has its own motion according to optimal matching and grouping criteria. Phase correlation and region growing are combined which allows sharing of information. Using phase correlation to identify a small number of motion candidates allows the space of possible motions to be narrowed. The region growing uses efficient management of lists of matching criteria to avoid repetitively evaluating matching criteria. | 07-21-2011 |
20110222778 | COLOR AND INTENSITY BASED MEANINGFUL OBJECT OF INTEREST DETECTION - An apparatus and method for detecting “Object Portraits” (photographs or images with a stand-out object of interest or a set of stand-out objects of interest) is described. A set of tools has been developed for object of interest detection, including “Sunset-like” scene detection, pseudo-color saturation-based detection and object of interest isolation, block intensity based detection and object of interest isolation. By effectively integrating these tools together, the “Object Portrait” images and “Non-Object Portrait” images are successfully identified. Meaningful object of interest areas are thereby successfully isolated in a low complexity manner without human intervention. | 09-15-2011 |
20110229056 | METHOD FOR HIGHLY ACCURATE ESTIMATION OF MOTION USING PHASE CORRELATION - An image alignment method includes computationally efficient methods of achieving high-accuracy local motion estimates by using phase correlation. The method also estimates motion reliability that allows a generic robust model fitting algorithm to produce more accurate results while operating much more efficiently. One of three methods are used to determine sub-pel motion estimation with improved accuracy. Each of the sub-pel motion estimation methods uses phase correlation, and are based on fitting computationally efficient 2-D quadratic surfaces to a phase correlation surface. A pre-filter is applied which shapes the phase correlation surface to enable appropriate fitting to the quadratic surface. Bias is also compensated for prior to applying a sub-pel motion estimation method. The method also estimates the reliability of the sub-pel motion estimates determined using phase correlation. | 09-22-2011 |
20120002112 | TAIL THE MOTION METHOD OF GENERATING SIMULATED STROBE MOTION VIDEOS AND PICTURES USING IMAGE CLONING - The apparatus generates simulated strobe effects in the form of video or still image output in response to receipt of a video stream, and without the need of additional strobe hardware. Videos of a moving target object are categorized into one of multiple categories, from which a strobe generation process is selected. In one mode, the two categories comprise target objects with either small motion or large motions in relation to the frame size. Interoperation between image registration and cloning are utilized to produce simulated strobe motion videos or pictures. Motion segmentation is applied to the foreground object in each image frame, and a foreground mask is updated as each checkpoint is reached along the object trajectory, such as in response to time differences between checkpoints. Potential applications include special features for camcorders, digital cameras, or computer software. | 01-05-2012 |
20120027252 | HAND GESTURE DETECTION - A method for detecting presence of a hand gesture in video frames includes receiving video frames having an original resolution, downscaling the received video frames into video frames having a lower resolution, and detecting a motion corresponding to the predefined hand gesture in the downscaled video frames based on temporal motion information in the downscaled video frames. The method also includes detecting a hand shape corresponding to the predefined hand gesture in a candidate search window within one of the downscaled video frames using a binary classifier. The candidate search window corresponds to a motion region containing the detected motion. The method further includes determining whether the received video frames contain the predefined hand gesture based on the hand shape detection. | 02-02-2012 |
20120027263 | HAND GESTURE DETECTION - A method for detecting presence of a hand gesture in video frames includes receiving video frames having an original resolution, downscaling the received video frames into video frames having a lower resolution, and detecting a motion corresponding to the predefined hand gesture in the downscaled video frames based on temporal motion information in the downscaled video frames. The method also includes detecting a hand shape corresponding to the predefined hand gesture in a candidate search window within one of the downscaled video frames using a binary classifier. The candidate search window corresponds to a motion region containing the detected motion. The method further includes determining whether the received video frames contain the predefined hand gesture based on the hand shape detection. | 02-02-2012 |
20120068917 | SYSTEM AND METHOD FOR DYNAMIC GESTURE RECOGNITION USING GEOMETRIC CLASSIFICATION - A gesture recognition system and method that inputs videos of a moving hand and outputs the recognized gesture states for the input sequence. In each image, the hand area is segmented from the background and used to estimate parameters of all five fingers. The system further classifies the hand image as one of the postures in the pre-defined database and applies a geometric classification algorithm to recognize the gesture. The system combines a skin color model with motion information to achieve real-time hand segmentation performance, and considers each dynamic gesture as a multi-dimensional volume and uses a geometric algorithm to classify each volume. | 03-22-2012 |
20120069168 | GESTURE RECOGNITION SYSTEM FOR TV CONTROL - A gesture recognition system using a skin-color based method combined with motion information to achieve real-time segmentation. A Kalman filter is used to track the centroid of the hand. The palm center, palm bottom, as well as the largest distance from the palm center to the contour from extracted hand mask are computed. The computed distance to a threshold is then compared to decide if the current posture is “open” or “closed.” In a preferred embodiment, the transition between the “open” and “closed” posture to decide if the current gesture is in “select” or “grab” state. | 03-22-2012 |
20120081402 | VIRTUAL LEVEL FOR A DIGITAL CAMERA - A method of and apparatus for generating a reference line or a virtual level enables tilt correction of an image. A user is able to utilize the reference line to see how an image should be oriented for the objects within the image to be level. The user is able to then correct the tilt of the image as desired using the reference line for assistance. | 04-05-2012 |
20120081572 | APPARATUS FOR AUTOMATIC ESTIMATE OF THE ANGLE IN TILTED IMAGES FOR LEVEL CORRECTION - A method of and an apparatus for automatically estimating the tilting angle in tilted images enables level correction of the images. A preferred orientation of objects in an image and the deviation of the current orientation from the preferred orientation is determined by tilt image analysis without object recognition. Tilt image analysis includes several steps such as gradient feature computation, line segment tracking, line segment estimation and orientation deviation estimation. Once the tilt angle is determined, the image can be corrected so that an object or scene is not tilted or is tilted by only the appropriate amount. | 04-05-2012 |
20120098985 | METHOD TO INCREASE THE ACCURACY OF PHASE CORRELATION MOTION ESTIMATION IN LOW-BIT-PRECISION CIRCUMSTANCES - A method and system to improve the performance of phase correlation motion estimation for low-bit-precision implementation are described herein. Phase correlation uses the Fast Fourier Transform (FFT) with operations with infinite-precision constants. Since physical implementations use finite-precision arithmetic, there is some loss in precision relative to the ideal infinite-precision case. In low-complexity implementations, it is desirable to use as few bits as possible, and if the precision is too low, the performance of traditional phase correlation suffers. A pre-processing technique is applied to the data prior to taking the FFT, which minimizes the negative effects of finite precision in the FFT and allows high quality results from phase correlation. The pre-processing step is a content-dependent contrast adjustment that maps the range of the input images' pixel values to the range of input values for the FFT. There is no post-processing required after the FFT to compensate for the pre-processing step. | 04-26-2012 |
20120098986 | METHOD TO IMPROVE ACCURACY AND RELIABILITY OF MOTION ESTIMATED WITH PHASE CORRELATION - A method of improving accuracy and reliability of motion estimation is described herein. In one aspect, a 2D neighborhood of phase correlation peak is approximated with an outer-product of two 1D vectors to eliminate the sub-pixel error. In another aspect, estimation of reliability is improved. In yet another aspect, two-pass phase correlation is implemented to eliminate sub-pel motion bias. | 04-26-2012 |
20120099651 | METHOD TO IMPROVE DETECTION OF MOTION WITH PHASE CORRELATION - Phase correlation is an established method for computing motion which relies on the ability to find peaks in a computed phase correlation surface. Two methods to improve the ability to detect peaks in the phase correlation surface are described herein. The first method applies a theoretically-derived and spatially-varying gain to the phase correlation surface. The gain compensates for peaks whose amplitudes have been decreased due to windowing effects; such effects are unavoidable in phase correlation. The second method uses concepts from matched filters to improve detection of peaks whose amplitudes are diminished due to a spreading of the peak energy into surrounding positions in the phase correlation surface. Peak detection filters allow such low-amplitude peaks to be properly detected. It is possible to use only the first method, or only the second method or both methods combined. | 04-26-2012 |
20120141015 | VANISHING POINT ESTIMATION SYSTEM AND METHODS - System and methods for estimating a vanishing point within an image, including comprising: programming executable on a processor for computing line segment estimation of one or more lines in said image, wherein one or more of the lines comprise multiple line segments as a single least-mean-square-error (LMSE) fitted lines. Additionally the one or more lines having multiple line segments are represented as a single least-mean-square-error (LMSE) fitted line, and the one or more lines are intersected to locate a vanishing point in a density space. | 06-07-2012 |
20120141019 | REGION DESCRIPTION AND MODELING FOR IMAGE SUBSCENE RECOGNITION - A method and apparatus is described here that categorizes images by extracting regions and describing the regions with a 16-dimensional subscene feature vector, which is a concatenation of color, texture, and spatial feature vectors. By comparing the spatial feature vectors in images with similarly-obtained feature vectors in a Gaussian mixture based model pool (obtained in a subscene modeling phase), the images may be categorized (in a subscene recognition phase) with probabilities relating to each region or subscene. Higher probabilities are likelier correlations. The device may be a single or multiple core CPU, or parallelized vector processor for characterizing many images. The images may be photographs, videos, or video stills, without restriction. When used real-time, the method may be used for visual searching or sorting. | 06-07-2012 |
20120155752 | GEOMETRIC FEATURE BASED IMAGE DESCRIPTION AND FAST IMAGE RETRIEVAL - An apparatus and method for processing pictures (images, graphics or video frames) for image representation and comparison on the basis of a geometric feature description built from histograms of pseudo-color saturation. The feature description can also include normalized centroid variance, as well as an intensity map. The descriptions allow various matching comparisons to be performed between an input image and a set of comparison images, such as to find matching (or mismatching, or other relationship) images. The comparison can be sped using staged comparisons, whereby an image failing one level of comparison need not be considered in subsequent phases. A set of efficient image feature descriptors are described for use in a fast image retrieval scheme, which is efficient for searching of images spanning different image types, rotations and scales. | 06-21-2012 |
20120155766 | PATCH DESCRIPTION AND MODELING FOR IMAGE SUBSCENE RECOGNITION - A method and apparatus is described that categorizes images by extracting regions and describing the regions with a set of 15-dimensional image patch feature vectors, which are concatenations of color and texture feature vectors. By comparing the image patch feature vectors in images with similarly-obtained image patch vectors in a Gaussian mixture based model pool (obtained in an image patch modeling phase), the images may be categorized (in an image patch recognition phase) with probabilities relating to each image patch. Higher probabilities are likelier correlations. The device may be a single or multiple core CPU, or parallelized vector processor for characterizing many images. The images may be photographs, videos, or video stills, without restriction. When used real-time, the method may be used for visual searching or sorting. | 06-21-2012 |
20120163706 | SHAPE DESCRIPTION AND MODELING FOR IMAGE SUBSCENE RECOGNITION - A method and apparatus is described here that categorizes images by extracting a subscene and describing the subscene with a top level feature vector and a division feature vector, which are descriptions of edge gradient classifications within rectangular bounding boxes. By filtering subscene feature vectors in images with a Gaussian mixture based model pool (obtained in a subscene modeling phase), the images may be categorized (in an subscene recognition phase) with probabilities relating to each subscene. Higher probabilities are likelier correlations. The device may be a single or multiple core CPU, or parallelized vector processor for characterizing many images. The images may be photographs, videos, or video stills, without restriction. When used real-time, the method may be used for visual searching or sorting. | 06-28-2012 |
20120219221 | System and method for effectively performing a scene rectification procedure - A system and method for effectively performing a scene rectification procedure comprises an image manager that includes a segmentation module, a label module, and a rectification module. The segmentation module initially performs a segmentation procedure upon an image to produce corresponding sub-scenes. The label module then categorizes the sub-scenes by assigning initial labels without utilizing context information from other sub-scenes in the image. The rectification module performs a semantic grouping procedure upon the sub-scenes to produce semantic group nodes corresponding to pairs of the sub-scenes that have a predefined semantic relationship. The rectification module converts a sub-scene graph of the sub-scenes into a semantic graph that includes the semantic group nodes. The rectification module then performs a rectification procedure to convert the initial labels of the sub-scenes into rectified labels. A processor of an electronic device typically controls the image manager for performing the scene rectification procedure. | 08-30-2012 |
20120242779 | System and method for effectively implementing a stroboscopic visual effect - A system and method for effectively implementing a stroboscopic visual effect with a television device includes a strobe engine that analyzes video data to create a sequence of stroboscopic images based upon motion information from the video data. The television utilizes a display manager to present the stroboscopic images and the video data on a display device during a strobe display mode. A processor device of the television typically controls the operations of the strobe engine and the display manager to implement the stroboscopic visual effect. | 09-27-2012 |
20120250987 | System and method for effectively performing an image identification procedure - A system and method for effectively performing an image identification procedure includes an image matching manager that derives source characteristics for a source image and target characteristics for target images. The image matching manager compares the source characteristics and the target characteristics to determine whether the source image matches any of the target images. The source characteristics and the target characteristics may include color-space characteristics and curve-space characteristics from the respective images. A processor of an electronic device typically controls the image matching manager to effectively perform the image identification procedure. | 10-04-2012 |
20120251000 | System and method for effectively performing an integrated segmentation procedure - A system and method for effectively performing an integrated segmentation procedure comprises an image segmenter that includes a texture modeler, a contrast modeler, and a model integrator. The texture modeler creates a texture model based upon an original image. Similarly, the contrast modeler creates a contrast model based upon the original image. The model integrator then performs a model integration procedure to create a final segmented image by integrating the texture model and the contrast model according to a calculated texture model metric. A processor of an electronic device typically controls the image segmenter to perform the integrated segmentation procedure. | 10-04-2012 |
20120263356 | METHOD FOR EFFICIENT REPRESENTATION AND PROCESSING OF COLOR PIXEL DATA IN DIGITAL PATHOLOGY IMAGES - Efficient representation of color digital pathology images (DPI) is described herein, which is accomplished by exploiting properties unique to such images. The method decomposes the data into constituent parts whose relative importance is able to be specified, allowing the data to be accurately represented with less bit precision, less spatial resolution or less spectral resolution. Two specific areas where the method is able to be utilized include: (1) more-efficient image compression; and (2) more efficient processing of the data. Efficient image compression is accomplished by assigning fewer bits to less-important colors. Efficient data processing is accomplished by processing only those colors, or combinations of colors, that are deemed important. | 10-18-2012 |
20130216134 | System And Method For Effectively Performing A Scene Representation Procedure - A system for performing a scene representation procedure includes an image manager that processes source images from a given scene to define subscenes in the source images. The image manager creates an image understanding graph for each of the source images, and also creates a scene representation graph for each of the source images based upon the corresponding subscenes and certain image characteristics. The image manager further generates an integrated scene representation to represent all of the source images with a single representation. A processor of an electronic device controls the image manager to perform the scene representation procedure. | 08-22-2013 |
20130216138 | System And Method For Effectively Performing An Image Categorization Procedure - A system for performing an image categorization procedure includes an image manager with a keypoint generator, a support region filter, an orientation filter, and a matching module. The keypoint generator computes initial descriptors for keypoints in a test image. The support region filter and the orientation filter perform respective filtering procedures upon the initial descriptors to produce filtered descriptors. The matching module compares the filtered descriptors to one or more database image sets for categorizing said test image. A processor of an electronic device typically controls the image manager to effectively perform the image categorization procedure. | 08-22-2013 |
20130230220 | AUTOMATIC IMAGE ALIGNMENT - A method for automatically aligning images includes (a) determining initial correspondent point features between a first image and a second image, (b) creating a triangular meshes for the images from the initial correspondent point features within the images, and (c) refining point correspondence between the first and second images based on affine transformation estimation using the triangular meshes. The method may also include (d) creating refined triangular meshes for the images from the point correspondence refined in (c), and (e) determining coordinate alignment within the areas of pairs of correspondent triangles in the refined triangular meshes through interpolation of affine transformation on the pairs of correspondent triangles. | 09-05-2013 |
20130243302 | AUTOMATED SYNCHRONIZED NAVIGATION SYSTEM FOR DIGITAL PATHOLOGY IMAGING - A method for synchronizing navigation in pathology stain images includes (a) downscaling the pathology stain images, (b) estimating rotation of the downscaled images, (c) aligning the downscaled images to generate aligned coordinates, and (d) transforming the aligned coordinates to original image coordinates in the pathology stain images to thereby generate alignment data. Also provided is a system for synchronized navigation in pathology stain images having original resolutions comprising a downscaler, a rotation estimator, an alignment module, and a coordinate transformer. The system may also include an image display system to display corresponding areas of the pathology stain images. | 09-19-2013 |
20140016853 | METHOD AND APPARATUS FOR STAIN SEPARATION USING VECTOR ANALYSIS - A computer-implemented method and apparatus for stain separation of a pathology image using stain vector analysis comprising converting an original image into an optical domain image, performing stain vector analysis on the optical domain image to obtain one or more stain vectors, deconvoluting the vectors adaptively to produce one or more separated stain images. | 01-16-2014 |
20140022236 | METHOD AND APPARATUS FOR NAVIGATING STACKED MICROSCOPY IMAGES - A method for navigating images in microscopic imaging, the method comprising reducing dimensionality of an original sequence of images of a specimen for navigation using an all-focus image and providing a user interface to a user for navigating the original sequence of images and the all-focus image. | 01-23-2014 |
20140022346 | METHOD AND APPARATUS FOR IMPROVING DEPTH OF FIELD (DOF) IN MICROSCOPY - A method for improving depth for field (DOF) in microscopic imaging, the method comprising combining a sequence of images captured from different focal distances to form an all-focus image, comprising computing a focus measure at every pixel, finding the largest peaks at each position in the focus measure as multiple candidate values and blending the multiple candidates values according to the focus measure to determine the all-focus image. | 01-23-2014 |
20140022347 | METHOD AND APPARATUS FOR SIMULATING DEPTH OF FIELD (DOF) IN MICROSCOPY - A method and apparatus for simulating depth of field (DOF) in microscopic imaging, the method comprising computing a blur quantity for each pixel of an all-focus image, performing point spread function operations on one or more regions of the all-focus image, computing intermediate and normalized integral images on the regions and determining an output pixel for the each pixel based on the intermediate and normalized integral images. | 01-23-2014 |
20140023259 | METHOD AND APPARATUS FOR STAIN SEPARATION IN DIGITAL PATHOLOGY IMAGES - A method or apparatus for stain separation comprising transforming a digital image from a first color domain to an optical domain to form an optical domain image (ODI), identifying a plane containing two or more basis vector which contain the pixels of the ODI, determining a plurality of orthogonal vector within the identified plane, forming a histogram of the digital image represented by the orthogonal vectors and determining one or more final stain vectors by searching for candidate vectors in the plane that minimize a cost function of the histogram. | 01-23-2014 |
20140023283 | METHOD AND APPARATUS FOR COMPRESSING Z-STACK MICROSCOPY IMAGES - A method and apparatus for compressing Z-stack microscopy images comprising compressing an all-focus image and depth map representation of an original Z-stack of images, computing a prediction residual as a difference between a simulated Z-stack, generated from the all-focus image and the depth-map, and the original Z-stack and concatenating the prediction residual to the compressed all-focus image and the depth map to produce a final compressed file. | 01-23-2014 |
20140112568 | METHOD AND APPARATUS FOR AUTOMATIC HER2 SCORING OF TISSUE SAMPLES - Certain aspects of an apparatus and method for method and apparatus for automatic HER2 scoring of tissue samples may include for determining a cancer diagnosis score comprising identifying one or more nuclei in a slide image of a tissue sample, determine one or more membrane strengths in the slide image surrounding each of the one or more nuclei, classifying one or more cells, each corresponding to the one or more nuclei, in a class among a plurality of classes according to the one or more membrane strengths and determining a cancer diagnosis score based on a percentage of cells classified in each of the plurality of classes. | 04-24-2014 |
20140112569 | METHOD AND APPARATUS FOR AUTOMATIC CANCER DIAGNOSIS SCORING OF TISSUE SAMPLES - Certain aspects of an apparatus and method for automatic ER/PR scoring of tissue samples may include for determining a cancer diagnosis score comprising identifying a positive stained nucleus in a slide image of the tissue sample, identifying a negative stained nucleus in the slide image, computing a proportion score based on number of the positive stained nucleus identified and number of the negative stained nucleus identified and determining the cancer diagnosis score based on the proportion. | 04-24-2014 |
20140118535 | METHOD AND APPARATUS FOR GESTURE RECOGNITION USING A TWO DIMENSIONAL IMAGING DEVICE - Certain aspects of an apparatus and method for gesture recognition using a two Dimensional (2D) imaging device may include capturing a first image of a hand in a first position, capturing a second image of the hand in a second position, generating an image mask for indicating the movement of the arm from the first position to the second position, determining an elbow position corresponding to the hand based on the image mask and estimating the change in depth of the hand from the first position to the second position based on the determined elbow position. | 05-01-2014 |
20140126785 | METHOD AND APPARATUS FOR TISSUE REGION IDENTIFICATION - Certain aspects of an apparatus and method for method and apparatus for tissue region identification may include segmenting the image into a plurality of regions, filtering out regions in the plurality of regions which are curvilinear, and isolating a target area where the tissue sample is identified as the plurality of regions not filtered. | 05-08-2014 |
20140126786 | METHOD AND APPARATUS FOR ORIENTING TISSUE SAMPLES FOR COMPARISON - Certain aspects of an apparatus and method for orienting tissue samples for comparison may include incrementally rotating orientation of a first image by a predetermined rotation angle while maintaining orientation of a second image at a fixed angle, checking alignment of the orientation of the first image with the orientation of the second image at each predetermined rotation angle by matching a plurality of points in the first image and the second image, determining whether a predetermined rotation angle is a correct rotation angle for alignment based on a count of the plurality of points being greater than a threshold value and rotating to the next predetermined rotation angle when the count of the plurality of points is less than or equal to a threshold value. | 05-08-2014 |
20140307120 | METHOD TO IMPROVE ACCURACY AND RELIABILITY OF MOTION ESTIMATED WITH PHASE CORRELATION - A method of improving accuracy and reliability of motion estimation is described herein. In one aspect, a 2D neighborhood of phase correlation peak is approximated with an outer-product of two 1D vectors to eliminate the sub-pixel error. In another aspect, estimation of reliability is improved. In yet another aspect, two-pass phase correlation is implemented to eliminate sub-pel motion bias. | 10-16-2014 |