| Patent application number | Description | Published |
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| 20080205771 | CLASSIFYING COMPLETE AND INCOMPLETE DATE-TIME INFORMATION - A method for automatically classifying images into a final set of events including receiving a first plurality of images having date-time and a second plurality of images with incomplete date-time information; determining one or more time differences of the first plurality of images based on date-time clustering of the images and classify the first plurality of images into a first set of possible events; analyzing the second plurality of images using scene content and metadata cues and selecting images which correspond to different events in the first set of possible events and combining them into their corresponding possible events to thereby produce a second set of possible events; and using image scene content to verify the second set of possible events and to change the classification of images which correspond to different possible events to thereby provide the final set of events. | 08-28-2008 |
| 20080205772 | REPRESENTATIVE IMAGE SELECTION BASED ON HIERARCHICAL CLUSTERING - In a computer-mediated method for providing representative images, image records are classified spatio-temporally into groups. In each group, image records are partitioned into clusters and the hierarchically highest cluster is ascertained. The partitioning is between a hierarchy of feature clusters and a remainder cluster, based on a predetermined plurality of saliency features. Feature clusters each have one or more of the saliency features. The remainder cluster lacks the saliency features. Feature clusters are each exclusive of the saliency features of any higher clusters in the hierarchy and non-exclusive of the saliency features of any lower feature clusters in the hierarchy. A representative image of each group is designated from respective image records based on: the respective saliency feature of the highest cluster when the highest cluster is a feature cluster and independent of the saliency features when the highest cluster is the remainder cluster. | 08-28-2008 |
| 20080208791 | RETRIEVING IMAGES BASED ON AN EXAMPLE IMAGE - A method is disclosed for retrieving images relevant to an example image from among a plurality of stored images, each of the stored images being associated with metadata of different types, including retrieving set(s) of images from the stored image(s) for each different type of metadata that are based on similarities of the metadata of each different type with the example image; displaying the retrieved set(s) of image(s) organized according to each different type of metadata; and the user selecting one or more particular set(s) of retrieved image(s). | 08-28-2008 |
| 20080247458 | SYSTEM AND METHOD TO COMPOSE A SLIDE SHOW - A method of composing a multimedia slide show. In a preferred embodiment, the method comprises the steps of: selecting a plurality of digital images; encoding each of the plurality of digital images to generate a normal resolution image portion and a high resolution image portion; multiplexing each corresponding normal and high resolution image portion to generate a single high resolution still image; determining a time parameter for each of the high resolution still images; selecting an audio portion for at least one of the plurality of digital images; concatenating the plurality of high resolution still images to generate a video bitstream; generating an audio bitstream by encoding the audio portion; and multiplexing the video bitstream and audio bitstream to generate the multimedia slide show. | 10-09-2008 |
| 20080298643 | COMPOSITE PERSON MODEL FROM IMAGE COLLECTION - A method of improving recognition of a particular person in images by constructing a composite model of at least the portion of the head of that particular person, includes acquiring a collection of images taken during a particular event; identifying image(s) having a particular person in the collection; identifying one or more features in the identified image(s) associated with that particular person; searching the collection using the identified features to identify the particular person in other images of the collection; and constructing a composite model of at least a portion of the particular person's head using identified images of the particular person. | 12-04-2008 |
| 20090091798 | APPAREL AS EVENT MARKER - A method of characterizing images taken during a event into one or more sub-events is disclosed. The method includes; acquiring a collection of images taken during the event; identifying one or more particular person(s) in the collection and the apparel associated with the identified person; searching the collection to identify if the apparel associated with identified particular person(s) has been changed during the event; identifying one or more sub-events for those images in which the particular person(s) have changed apparel. | 04-09-2009 |
| 20090094518 | METHOD FOR IMAGE ANIMATION USING IMAGE VALUE RULES - A method for image presentation are provided, in which at least one theme for image presentation is obtained; at least one set of images is acquired for presentation in association with each theme; and a presentation area image is generated for presentation on a display with a plurality of separate presentation objects in the presentation area image; an image value for each of the acquired images is determined; an emphasis score is determined for each of the acquired images. The presentation area image is presented with one of the acquired images in each of the presentation objects; and the presentation objects are animated by moving the presentation objects relative to each other in a manner that attracts more attention to presentation objects that are used to present images having a higher emphasis score than presentation objects that are used to simultaneously present images having a lower emphasis score. | 04-09-2009 |
| 20090297032 | SEMANTIC EVENT DETECTION FOR DIGITAL CONTENT RECORDS - A system and method for semantic event detection in digital image content records is provided in which an event-level “Bag-of-Features” (BOF) representation is used to model events, and generic semantic events are detected in a concept space instead of an original low-level visual feature space based on the BOF representation. | 12-03-2009 |
| 20090299999 | SEMANTIC EVENT DETECTION USING CROSS-DOMAIN KNOWLEDGE - A method for facilitating semantic event classification of a group of image records related to an event. The method using an event detector system for providing: extracting a plurality of visual features from each of the image records; wherein the visual features include segmenting an image record into a number of regions, in which the visual features are extracted; generating a plurality of concept scores for each of the image records using the visual features, wherein each concept score corresponds to a visual concept and each concept score is indicative of a probability that the image record includes the visual concept; generating a feature vector corresponding to the event based on the concept scores of the image records; and supplying the feature vector to an event classifier that identifies at least one semantic event classifier that corresponds to the event. | 12-03-2009 |
| 20100077289 | Method and Interface for Indexing Related Media From Multiple Sources - The invention relates generally to the field of digital image processing, and in particular to a method for associating and viewing related video and still images. In particular, the present invention is directed to methods for associating and/or viewing digital content records comprising ordering a first set of digital content records and the second set of digital content records based upon information associated with each of the digital content records. | 03-25-2010 |
| 20100124378 | METHOD FOR EVENT-BASED SEMANTIC CLASSIFICATION - A method of automatically classifying images in a consumer digital image collection, includes generating an event representation of the image collection; computing global time-based features for each event within the hierarchical event representation; computing content-based features for each image in an event within the hierarchical event representation; combining content-based features for each image in an event to generate event-level content-based features; and using time-based features and content-based features for each event to classify an event into one of a pre-determined set of semantic categories. | 05-20-2010 |
| 20100245625 | IDENTIFYING COLLECTION IMAGES WITH SPECIAL EVENTS - A method for associating event times or time periods with digital images in a collection for determining if a digital image is of interest, includes storing a collection of digital images each having an associated capture time; comparing the associated capture time in the collection with a special event time to determine if a digital image in the collection is of interest, wherein the comparing step includes calculation of a special event time associated with a special event based on the calendar time associated with the special event and using such information to perform the comparison step; and associating digital images of interest with the special event. | 09-30-2010 |
| 20100322524 | DETECTING SIGNIFICANT EVENTS IN CONSUMER IMAGE COLLECTIONS - A method for determining significant events in a digital image collection, including, using a processor for generating image counts time-series from the image collection; computing a model of the image counts time-series; and using the image counts time-series and the model to determine significant events. | 12-23-2010 |
| 20110074966 | METHOD FOR MEASURING PHOTOGRAPHER'S AESTHETIC QUALITY PROGRESS - A method for measuring a photographer's progress over time toward producing images with a high level of aesthetic quality by assessing the aesthetic quality of a set of digital images captured by the photographer comprising: providing a set of digital images captured by a particular photographer, each digital image having and associated capture times captured by a particular photographer; using a processor to compute an aesthetic quality parameters for each digital image in the set; and producing an indication of the photographer's progress toward producing images with a high level of aesthetic quality using the aesthetic quality parameters for each digital image in the set and the corresponding associated capture times. | 03-31-2011 |
| 20110075917 | ESTIMATING AESTHETIC QUALITY OF DIGITAL IMAGES - A method for estimating the aesthetic quality of an input digital image comprising using a digital image processor for performing the following: determining one or more vanishing point(s) associated with the input digital image by automatically analyzing the digital image; computing a compositional model from at least the positions of the vanishing point(s); and producing an aesthetic quality parameter for the input digital image responsive to the compositional model, wherein the aesthetic quality parameter is an estimate for the aesthetic quality of the input digital image. | 03-31-2011 |
| 20110075930 | METHOD FOR COMPARING PHOTOGRAPHER AESTHETIC QUALITY - A method for comparing a plurality of photographers by assessing the aesthetic quality of a set of digital images captured by each photographer comprising: providing a set of digital images captured by each of a plurality of photographers; using a processor to determine an aesthetic quality parameter for each digital image in each of the sets of digital images, wherein the aesthetic quality parameter is an estimate for the aesthetic quality of the digital image; determining an aesthetic quality distribution for each photographer responsive to the aesthetic quality parameters computed for each of the digital images in the photographer's set of digital images; and providing a comparison between the aesthetic quality distributions of the photographers. | 03-31-2011 |
| 20110081082 | VIDEO CONCEPT CLASSIFICATION USING AUDIO-VISUAL ATOMS - A method for determining a classification for a video segment, comprising the steps of: breaking the video segment into a plurality of short-term video slices, each including a plurality of video frames and an audio signal; analyzing the video frames for each short-term video slice to form a plurality of region tracks; analyzing each region track to form a visual feature vector and a motion feature vector; analyzing the audio signal for each short-term video slice to determine an audio feature vector; forming a plurality of short-term audio-visual atoms for each short-term video slice by combining the visual feature vector and the motion feature vector for a particular region track with the corresponding audio feature vector; and using a classifier to determine a classification for the video segment responsive to the short-term audio-visual atoms. | 04-07-2011 |
| 20110099478 | IDENTIFYING COLLECTION IMAGES WITH SPECIAL EVENTS - A method for associating event times or time periods with digital images in a collection for determining if a digital image is of interest, includes storing a collection of digital images each having an associated capture time; comparing the associated capture time in the collection with a special event time to determine if a digital image in the collection is of interest, wherein the comparing step includes calculation of a special event time associated with a special event based on the calendar time associated with the special event and using such information to perform the comparison step; and associating digital images of interest with the special event. | 04-28-2011 |
