Patent application number | Description | Published |
20080204600 | System and method for video noise reduction using an adaptive temporal method with motion detection and motion compensation - An adaptive temporal noise reduction method that adaptively combines motion adaptive filtering results and motion compensated results to reduce Gaussian additive noise in video sequences is described herein. The system determines the motion detection and motion compensation results from the current frame and the filtered previous frame. Measurements on the video are used to determine a probabilistic measure of noise that is employed to adaptively combine the motion detection and motion compensation results. | 08-28-2008 |
20080205854 | System and method for video noise reduction using a unified three-dimensional non-linear filtering - The system described herein is a unified approach to three-dimensional filtering for the reduction of video noise. The technique is based on weight averaging pixels of the filter's output value in a three-dimensional neighborhood, in space and time, of the filter's output value. The weights can be computed for individual factors, such as distance, regional differences, etc., or can be combined into a weight that is indicative of all individual weights. | 08-28-2008 |
20080316372 | VIDEO DISPLAY ENHANCEMENT BASED ON VIEWER CHARACTERISTICS - A video display with a display screen adapted to display video images according to adjustable display parameters, for example brightness, contrast, and/or sharpness, and at least one viewer sensor configured to determine at least one variable viewing characteristic and wherein the display is adapted to adjust the display parameters to adjust the displayed video image quality at least partially as a function of the variable viewing characteristic. A method of adjusting displayed image quality of a video display system, including inducing the video display system to determine at least one characteristic of a current viewing situation and adjusting one or more variable display parameters at least partially as a function of the determined characteristics. The viewing characteristics can include viewing time, viewing distance, and other. | 12-25-2008 |
20090285454 | METHOD AND SYSTEM FOR FACIAL RECOGNITION TRAINING OF USERS OF ENTERTAINMENT SYSTEMS - An entertainment system that includes an image capture device which captures images of new users and mathematically processes the images so that a matrix of representative images of all known users if formed. The matrix can then be applied to subsequent new images to determine whether a new image of a user is a known user to the system to that preferences associated with the user can be employed in the delivery of entertainment content to the user. | 11-19-2009 |
20090287620 | SYSTEM AND METHOD FOR OBJECT DETECTION AND CLASSIFICATION WITH MULTIPLE THRESHOLD ADAPTIVE BOOSTING - Systems and methods for classifying a object as belonging to an object class or not belonging to an object class using a boosting method with a plurality of thresholds is disclosed. One embodiment is a method of defining a strong classifier, the method comprising receiving a training set of positive and negative samples, receiving a set of features, associating, for each of a first subset of the set of features, a corresponding feature value with each of a first subset of the training set, associating a corresponding weight with each of a second subset of the training set, iteratively i) determining, for each of a second subset of the set of features, a first threshold value at which a first metric is minimized, ii) determining, for each of a third subset of the set of features, a second threshold value at which a second metric is minimized, iii) determining, for each of a forth subset of the set of features, a number of thresholds, iv) determining, for each of a fifth subset of the set of features, an error value based on the determined number of thresholds, v) determining the feature having the lowest associated error value, and vi) updating the weights, defining a strong classifier based on the features having the lowest error value at a plurality of iterations, and classifying a sample as either belonging to an object class or not belonging to an object class based on the strong classifier. | 11-19-2009 |
20090290762 | SYSTEM AND METHOD FOR HUMAN HAND MOTION DETECTION BY SKIN COLOR PREDICTION - Systems and methods for motion detection of human skin within temporally adjacent electronic images are provided. Motion detection is accomplished by analyzing the color values of selected pixels within the electronic images represented in CbCr color space. Histogram distributions which represent skin colors and non-skin colors in CbCr color space are modeled in order to provide likelihoods that a selected color value appears within the histogram distributions. Posterior skin probability values, indicating the probability that a selected pixel having a given CbCr color value represents human skin, are calculated from these likelihoods. For each of the selected pixels, an intensity difference of the pixel between the electronic images is compared to an adaptive intensity threshold which is a function of the posterior skin probability in order to determine whether the pixel is in motion. | 11-26-2009 |
20090297052 | SYSTEM AND METHOD FOR ESTIMATING THE CENTERS OF MOVING OBJECTS IN A VIDEO SEQUENCE - Systems and methods for estimating the centers of moving objects in a video sequence are disclose. One embodiment is a method of defining one or more motion centers in a video sequence, the method comprising receiving a video sequence comprising a plurality of frames, receiving a motion history image for each of a subset of the plurality of frames based on the video sequence, identifying, through use of the motion history image, one or more data segments having a first orientation, wherein each data segment having the first orientation has a start location and a length, identifying, one or more data segments having a second orientation, wherein each element of a data segment having the second orientation is associated with a data segment having the first orientation, and defining a corresponding motion center for one or more of the indentified data segments having the second orientation. | 12-03-2009 |
20090316988 | SYSTEM AND METHOD FOR CLASS-SPECIFIC OBJECT SEGMENTATION OF IMAGE DATA - Systems and methods for processing an image to determine whether segments of the image belong to an object class are disclosed. In one embodiment, the method comprises receiving digitized data representing an image, the image data comprising a plurality of pixels, segmenting the pixel data into segments at a plurality of scale levels, determining feature vectors of the segments at the plurality of scale levels, the feature vectors comprising one or more measures of visual perception of the segments, determining one or more similarities, each similarity determined by comparing two or more feature vectors, determining, for each of a first subset of the segments, a first measure of probability that the segments is a member of an object class, determining probability factors based on the determined first measures of probability and similarity factors based on the determined similarities, and performing factor graph analysis to determine a second measure of probability for each of a second subset of the segments based on the probability factors and similarity factors. | 12-24-2009 |
20100027845 | SYSTEM AND METHOD FOR MOTION DETECTION BASED ON OBJECT TRAJECTORY - A system and method for controlling a device via gesture recognition is disclosed. In one embodiment, the system comprises a video capture device configured to capture video of an object, a tracking module configured to track the position of the object, thereby defining a trajectory, a trajectory analysis module configured to determine whether or not a portion of the trajectory defines a recognized gesture, and a control module configured to change a parameter of the device when it is determined that the trajectory of the object defines a recognized gesture. | 02-04-2010 |
20100027846 | SYSTEM AND METHOD FOR WAVING DETECTION BASED ON OBJECT TRAJECTORY - A system and method for detecting a waving motion from a sequence of ordered points is disclosed. In one embodiment, the method comprising receiving a sequence of ordered points, selecting a subset of the sequence of ordered points, determining if the subset defines a circular shape, and storing an indication of whether or not the subset defines a waving motion. Various metrics for determining if the subset defines a waving motion, which allow for a trade-off between accuracy and complexity, are disclosed. | 02-04-2010 |
20100027892 | SYSTEM AND METHOD FOR CIRCLING DETECTION BASED ON OBJECT TRAJECTORY - A system and method for detecting a circular shape from a sequence of ordered points is disclosed. In one embodiment, the method comprises receiving a sequence of ordered points, selecting a subset of the sequence of ordered points, determining if the subset defines a circular shape, and storing an indication of whether or not the subset defines a circular shape. Various metrics for determining if the subset defines a circular shape, which allow for a trade-off between accuracy and complexity, are disclosed. | 02-04-2010 |
20100202663 | SYSTEM AND METHOD FOR ADAPTIVELY DEFINING A REGION OF INTEREST FOR MOTION ANALYSIS IN DIGITAL VIDEO - A system and method for adaptively defining a region of interest for motion analysis in digital video is disclosed. In one embodiment, a method of detecting a gesture is disclosed which comprises receiving a video sequence comprising a plurality of frames, determining a region of interest which excludes a portion of the frame, and detecting the gesture within the region of interest. | 08-12-2010 |
20130308858 | Systems and Methods for Restoring Color and Non-Color Related Integrity in an Image - Methods and systems for restoring image integrity in an image are described. The described methods and systems are particularly applied against an image after determining whether the image has undergone at least one of a color mutation, a non-color mutation, or a combination of a color mutation and a non-color mutation. | 11-21-2013 |
20140098886 | Video Compression Implementing Resolution Tradeoffs and Optimization - Compression transforming video into a compressed representation (which typically can be delivered at a capped pixel rate compatible with conventional video systems), including by generating spatially blended pixels and temporally blended pixels (e.g., temporally and spatially blended pixels) of the video, and determining a subset of the blended pixels for inclusion in the compressed representation including by assessing quality of reconstructed video determined from candidate sets of the blended pixels. Trade-offs may be made between temporal resolution and spatial resolution of regions of reconstructed video determined by the compressed representation to optimize perceived video quality while reducing the data rate. The compressed data may be packed into frames. A reconstruction method generates video from a compressed representation using metadata indicative of at least one reconstruction parameter for spatial regions of the reconstructed video. | 04-10-2014 |
20140104492 | Systems and Methods for Transmitting Video Frames - Systems and methods for transmitting video frames are described. Specifically, frame rate modification techniques such as blending and/or packing processes are used to translate high frame-rate signals into low-frame rate signals, which are transmitted over limited bandwidth transmission media to a video signal receiver. Information pertaining to the blending and/or packing processes is transferred to the video signal receiver in the form of a map that is used to reconstruct the high frame-rate signals from the low-frame rate signals. The high frame-rate signals may be used by certain types of newer equipment designed to use such signals. However, legacy equipment that cannot use the high frame-rate signals may opt to use certain embodiments described herein that are designed to be backward-compatible. When backward-compatible, the video signal receiver generates suitable low frame-rate signals as well as the high frame-rate signals, thereby accommodating both legacy as well as newer equipment. | 04-17-2014 |
20140321756 | SYSTEM AND METHOD FOR CIRCLING DETECTION BASED ON OBJECT TRAJECTORY - A system and method for detecting a circular shape from a sequence of ordered points is disclosed. In one embodiment, the method comprises receiving a sequence of ordered points, selecting a subset of the sequence of ordered points, determining if the subset defines a circular shape, and storing an indication of whether or not the subset defines a circular shape. Various metrics for determining if the subset defines a circular shape, which allow for a trade-off between accuracy and complexity, are disclosed. | 10-30-2014 |
20140327710 | Systems and Methods for Increasing Spatial or Temporal Resolution for Dual Modulated Display Systems - Dual modulation display systems comprising a first modulation layer and a second modulation layer are disclosed, such that the first modulation layer and the second modulation layer are offset by a desired distance. In one embodiment, the offset distance may be an actual spatial offset distance in one, two or a preferred direction. In another embodiment, the offset distance may be a rotational offset between the two layers. In yet another embodiment, the offset may be a temporal offset between the images appearing on the first modulation layer and the second modulation layer. In yet another embodiment, the offset may be a combination of spatial, rotational and/or temporal offsets. The display system may comprise a controller capable of mapping input image data onto the first and second modulation layers via intermediate signals and the intermediate signals may be some function of the offset. | 11-06-2014 |