Patent application number | Description | Published |
20100008424 | COMPUTER METHOD AND APPARATUS FOR PROCESSING IMAGE DATA - A method and apparatus for image data compression includes detecting a portion of an image signal that uses a disproportionate amount of bandwidth compared to other portions of the image signal. The detected portion of the image signal result in determined components of interest. Relative to certain variance, the method and apparatus normalize the determined components of interest to generate an intermediate form of the components of interest. The intermediate form represents the components of interest reduced in complexity by the certain variance and enables a compressed form of the image signal where the determined components of interest maintain saliency. In one embodiment, the video signal is a sequence of video frames. The step of detecting includes any of: (i) analyzing image gradients across one or more frames where image gradient is a first derivative model and gradient flow is a second derivative, (ii) integrating finite differences of pels temporally or spatially to form a derivative model, (iii) analyzing an illumination field across one or more frames, and (iv) predictive analysis, to determine bandwidth consumption. The determined bandwidth consumption is then used to determine the components of interest. | 01-14-2010 |
20100073458 | SYSTEMS AND METHODS FOR PROVIDING PERSONAL VIDEO SERVICES - Systems and methods for processing video are provided. Video compression schemes are provided to reduce the number of bits required to store and transmit digital media in video conferencing or videoblogging applications. A photorealistic avatar representation of a video conference participant is created. The avatar representation can be based on portions of a video stream that depict the conference participant. A face detector is used to identify, track and classify the face. Object models including density, structure, deformation, appearance and illumination models are created based on the detected face. An object based video compression algorithm, which uses machine learning face detection techniques, creates the photorealistic avatar representation from parameters derived from the density, structure, deformation, appearance and illumination models. | 03-25-2010 |
20100086062 | OBJECT ARCHIVAL SYSTEMS AND METHODS - Personal object based archival systems and methods are provided for processing and compressing video. By analyzing features unique to a user, such as face, family, and pet attributes associated with the user, an invariant model can be determined to create object model adapters personal to each user. These personalized video object models can be created using geometric and appearance modeling techniques, and they can be stored in an object model library. The object models can be reused for processing other video streams. The object models can be shared in a peer-to-peer network among many users, or the object models can be stored in an object model library on a server. When the compressed (encoded) video is reconstructed, the video object models can be accessed and used to produce quality video with nearly lossless compression. | 04-08-2010 |
20110022658 | SYSTEM FOR NETWORKED DIGITAL PATHOLOGY EXCHANGE - A computer-based method and apparatus to facilitate the exchange of pathology studies for the purpose of providing a primary or secondary pathological diagnosis. A study consists of one or more lower-resolution images, the references to the corresponding higher-resolution images, associated image metadata, study metadata and patient metadata. The studies are exchanged from one organization (hospital, practice, or individual physician) to another organization through a set of interconnected dispatcher services. In a cloud model, a plurality of dispatchers may be connected through a Global Dispatcher, both facilitating the addition of new organizations to the cloud and allowing for the addressing of studies from any organization in the cloud to any organization, group or individual in the cloud. By this means, the originating organization may obtain the desired level of care through the selection of recipient organizations, groups and individuals according to the organization's existing criteria. Efficiency in diagnosis is improved through the addressing of a study to a plurality of qualified recipients, as the first recipient with an appropriate, available resource may review and provide a diagnosis for the study. | 01-27-2011 |
20110182352 | Feature-Based Video Compression - Systems and methods of processing video data are provided. Video data having a series of video frames is received and processed. One or more instances of a candidate feature are detected in the video frames. The previously decoded video frames are processed to identify potential matches of the candidate feature. When a substantial amount of portions of previously decoded video frames include instances of the candidate feature, the instances of the candidate feature are aggregated into a set. The candidate feature set is used to create a feature-based model. The feature-based model includes a model of deformation variation and a model of appearance variation of instances of the candidate feature. The feature-based model compression efficiency is compared with the conventional video compression efficiency. | 07-28-2011 |
20110274320 | USER TARGETED MEDICAL IMAGING AND INFORMATION PACKAGING, COMPRESSION AND DISTRIBUTION SYSTEM - A computer-based method and system of distributing biological sample data acquires a digital image of a subject biological sample. The acquired digital image and image capture data are processed according to at least one user. This results in processed image data and capture metadata. The processed image data represents biological sample data of the subject biological sample. A package processing combines the processed image data and capture metadata into a working Package. The method and system enables simultaneous electronic access to the working Package by multiple users, across multiple sectors, in addition to the one user. | 11-10-2011 |
20120155536 | Feature-Based Video Compression - Systems and methods of processing video data are provided. Video data having a series of video frames is received and processed. One or more instances of a candidate feature are detected in the video frames. The previously decoded video frames are processed to identify potential matches of the candidate feature. When a substantial amount of portions of previously decoded video frames include instances of the candidate feature, the instances of the candidate feature are aggregated into a set. The candidate feature set is used to create a feature-based model. The feature-based model includes a model of deformation variation and a model of appearance variation of instances of the candidate feature. The feature-based model compression efficiency is compared with the conventional video compression efficiency. | 06-21-2012 |
20120163446 | Object Archival Systems and Methods - Personal object based archival systems and methods are provided for processing and compressing video. By analyzing features unique to a user, such as face, family, and pet attributes associated with the user, an invariant model can be determined to create object model adapters personal to each user. These personalized video object models can be created using geometric and appearance modeling techniques, and they can be stored in an object model library. The object models can be reused for processing other video streams. The object models can be shared in a peer-to-peer network among many users, or the object models can be stored in an object model library on a server. When the compressed (encoded) video is reconstructed, the video object models can be accessed and used to produce quality video with nearly lossless compression. | 06-28-2012 |
20120281063 | Systems And Methods For Providing Personal Video Services - Systems and methods for processing video are provided. Video compression schemes are provided to reduce the number of bits required to store and transmit digital media in video conferencing or videoblogging applications. A photorealistic avatar representation of a video conference participant is created. The avatar representation can be based on portions of a video stream that depict the conference participant. A face detector is used to identify, track and classify the face. Object models including density, structure, deformation, appearance and illumination models are created based on the detected face. An object based video compression algorithm, which uses machine learning face detection techniques, creates the photorealistic avatar representation from parameters derived from the density, structure, deformation, appearance and illumination models. | 11-08-2012 |
20120296980 | SYSTEM FOR NETWORKED DIGITAL PATHOLOGY EXCHANGE - A computer-based method and apparatus facilitate exchange of pathology studies enabling primary and secondary pathological diagnoses. A study consists of lower-resolution images, references to the corresponding higher-resolution images, associated image metadata, study metadata and patient metadata. The studies are exchanged from one organization (hospital, practice, or individual physician) to another organization through a set of interconnected dispatcher services. In a cloud model, a plurality of dispatchers may be connected through a Global Dispatcher, both facilitating the addition of new organizations to the cloud and allowing for the addressing of studies from any organization in the cloud to any organization, group or individual in the cloud. Efficiency in diagnosis is improved through the addressing of a study to a plurality of qualified recipients, as the first recipient with an appropriate, available resource may review and provide a diagnosis for the study. | 11-22-2012 |
20130107948 | Context Based Video Encoding and Decoding | 05-02-2013 |
20130114703 | Context Based Video Encoding and Decoding - A model-based compression codec applies higher-level modeling to produce better predictions than can be found through conventional block-based motion estimation and compensation. Computer-vision-based feature and object detection algorithms identify regions of interest throughout the video datacube. The detected features and objects are modeled with a compact set of parameters, and similar feature/object instances are associated across frames. Associated features/objects are formed into tracks and related to specific blocks of video data to be encoded. The tracking information is used to produce model-based predictions for those blocks of data, enabling more efficient navigation of the prediction search space than is typically achievable through conventional motion estimation methods. A hybrid framework enables modeling of data at multiple fidelities and selects the appropriate level of modeling for each portion of video data. | 05-09-2013 |
20130170541 | Video Compression Repository and Model Reuse - Systems and methods of improving video encoding/decoding efficiency may be provided. A feature-based processing stream is applied to video data having a series of video frames. Computer-vision-based feature and object detection algorithms identify regions of interest throughout the video datacube. The detected features and objects are modeled with a compact set of parameters, and similar feature/object instances are associated across frames. Associated features/objects are formed into tracks, and each track is given a representative, characteristic feature. Similar characteristic features are clustered and then stored in a model library, for reuse in the compression of other videos. A model-based compression framework makes use of the preserved model data by detecting features in a new video to be encoded, relating those features to specific blocks of data, and accessing similar model information from the model library. The formation of model libraries can be specialized to include personal, “smart” model libraries, differential libraries, and predictive libraries. Predictive model libraries can be modified to handle a variety of demand scenarios. | 07-04-2013 |
20130219027 | User Targeted Medical Imaging And Information Packaging, Compression And Distribution System - A computer-based method and system of distributing biological sample data acquired as a digital image of a subject biological sample. The acquired digital image and image capture data are processed according to at least one user. This results in processed image data and capture metadata. The processed image data represents biological sample data of the subject biological sample. A package processing combines the processed image data and capture metadata into a working Package. The method and system enables simultaneous electronic access to the working Package by multiple users, across multiple sectors, in addition to the one user. | 08-22-2013 |
20130230099 | STANDARDS-COMPLIANT MODEL-BASED VIDEO ENCODING AND DECODING - A model-based compression codec applies higher-level modeling to produce better predictions than can be found through conventional block-based motion estimation and compensation. Computer-vision-based feature and object detection algorithms identify regions of interest throughout the video datacube. The detected features and objects are modeled with a compact set of parameters, and similar feature/object instances are associated across frames. Associated features/objects are formed into tracks and related to specific blocks of video data to be encoded. The tracking information is used to produce model-based predictions for those blocks of data, enabling more efficient navigation of the prediction search space than is typically achievable through conventional motion estimation methods. A hybrid framework enables modeling of data at multiple fidelities and selects the appropriate level of modeling for each portion of video data. A compliant-stream version of the model-based compression codec uses the modeling information indirectly to improve compression while producing bitstreams that can be interpreted by standard decoders. | 09-05-2013 |