Patents Assigned to Zeitera, LLC
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Publication number: 20120215789Abstract: The overall architecture and details of a scalable video fingerprinting and identification system that is robust with respect to many classes of video distortions is described. In this system, a fingerprint for a piece of multimedia content is composed of a number of compact signatures, along with traversal hash signatures and associated metadata. Numerical descriptors are generated for features found in a multimedia clip, signatures are generated from these descriptors, and a reference signature database is constructed from these signatures. Query signatures are also generated for a query multimedia clip. These query signatures are searched against the reference database using a fast similarity search procedure, to produce a candidate list of matching signatures. This candidate list is further analyzed to find the most likely reference matches. Signature correlation is performed between the likely reference matches and the query clip to improve detection accuracy.Type: ApplicationFiled: May 3, 2012Publication date: August 23, 2012Applicant: ZEITERA, LLCInventors: Prashant Ramanathan, Jose Pio Pereira, Shashank Merchant, Mihailo M. Stojancic
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Publication number: 20120207402Abstract: Video sequence processing is described with various filtering rules applied to extract dominant features for content based video sequence identification. Active regions are determined in video frames of a video sequence. Video frames are selected in response to temporal statistical characteristics of the determined active regions. A two pass analysis is used to detect a set of initial interest points and interest regions in the selected video frames to reduce the effective area of images that are refined by complex filters that provide accurate region characterizations resistant to image distortion for identification of the video frames in the video sequence. Extracted features and descriptors are robust with respect to image scaling, aspect ratio change, rotation, camera viewpoint change, illumination and contrast change, video compression/decompression artifacts and noise.Type: ApplicationFiled: April 25, 2012Publication date: August 16, 2012Applicant: ZEITERA, LLCInventors: Mihailo Stojancic, Prashant Ramanathan, Peter Wendt, Jose Pio Pereira
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Publication number: 20120207387Abstract: A multi-dimensional database and indexes and operations on the multi-dimensional database are described which include video search applications or other similar sequence or structure searches. Traversal indexes utilize highly discriminative information about images and video sequences or about object shapes. Global and local signatures around keypoints are used for compact and robust retrieval and discriminative information content of images or video sequences of interest. For other objects or structures relevant signature of pattern or structure are used for traversal indexes. Traversal indexes are stored in leaf nodes along with distance measures and occurrence of similar images in the database. During a sequence query, correlation scores are calculated for single frame, for frame sequence, and video clips, or for other objects or structures.Type: ApplicationFiled: March 28, 2012Publication date: August 16, 2012Applicant: ZEITERA, LLCInventors: Jose Pio Pereira, Mihailo M. Stojancic, Shashank Merchant
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Patent number: 8229227Abstract: Scaleable video sequence processing with various filtering rules is applied to extract dominant features, and generate unique set of signatures based on video content. Video sequence structuring and subsequent video sequence characterization is performed by tracking statistical changes in the content of a succession of video frames and selecting suitable frames for further treatment by region based intra-frame segmentation and contour tracing and description. Compact representative signatures are generated on the video sequence structural level as well as on the selected video frame level, resulting in an efficient video database formation and search.Type: GrantFiled: June 18, 2008Date of Patent: July 24, 2012Assignee: Zeitera, LLCInventors: Mihailo M. Stojancic, Jose Pio Pereira, Shashank Merchant
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Patent number: 8195689Abstract: The overall architecture and details of a scalable video fingerprinting and identification system that is robust with respect to many classes of video distortions is described. In this system, a fingerprint for a piece of multimedia content is composed of a number of compact signatures, along with traversal hash signatures and associated metadata. Numerical descriptors are generated for features found in a multimedia clip, signatures are generated from these descriptors, and a reference signature database is constructed from these signatures. Query signatures are also generated for a query multimedia clip. These query signatures are searched against the reference database using a fast similarity search procedure, to produce a candidate list of matching signatures. This candidate list is further analyzed to find the most likely reference matches. Signature correlation is performed between the likely reference matches and the query clip to improve detection accuracy.Type: GrantFiled: May 3, 2010Date of Patent: June 5, 2012Assignee: Zeitera, LLCInventors: Prashant Ramanathan, Jose Pio Pereira, Shashank Merchant
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Patent number: 8189945Abstract: Video sequence processing is described with various filtering rules applied to extract dominant features for content based video sequence identification. Active regions are determined in video frames of a video sequence. Video frames are selected in response to temporal statistical characteristics of the determined active regions. A two pass analysis is used to detect a set of initial interest points and interest regions in the selected video frames to reduce the effective area of images that are refined by complex filters that provide accurate region characterizations resistant to image distortion for identification of the video frames in the video sequence. Extracted features and descriptors are robust with respect to image scaling, aspect ratio change, rotation, camera viewpoint change, illumination and contrast change, video compression/decompression artifacts and noise.Type: GrantFiled: November 5, 2009Date of Patent: May 29, 2012Assignee: Zeitera, LLCInventors: Mihailo Stojancic, Prashant Ramanathan, Peter Wendt, Jose Pio Pereira
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Patent number: 8171030Abstract: A multi-dimensional database and indexes and operations on the multi-dimensional database are described which include video search applications or other similar sequence or structure searches. Traversal indexes utilize highly discriminative information about images and video sequences or about object shapes. Global and local signatures around keypoints are used for compact and robust retrieval and discriminative information content of images or video sequences of interest. For other objects or structures relevant signature of pattern or structure are used for traversal indexes. Traversal indexes are stored in leaf nodes along with distance measures and occurrence of similar images in the database. During a sequence query, correlation scores are calculated for single frame, for frame sequence, and video clips, or for other objects or structures.Type: GrantFiled: June 18, 2008Date of Patent: May 1, 2012Assignee: Zeitera, LLCInventors: Jose Pio Pereira, Mihailo M. Stojancic, Shashank Merchant
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Publication number: 20120095958Abstract: An efficient large scale search system for video and multi-media content using a distributed database and search, and tiered search servers is described. Selected content is stored at the distributed local database and tier1 search server(s). Content matching frequent queries, and frequent unidentified queries are cached at various levels in the search system. Content is classified using feature descriptors and geographical aspects, at feature level and in time segments. Queries not identified at clients and tier1 search server(s) are queried against tier2 or lower search server(s). Search servers use classification and geographical partitioning to reduce search cost. Methods for content tracking and local content searching are executed on clients. The client performs local search, monitoring and/or tracking of the query content with the reference content and local search with a database of reference fingerprints.Type: ApplicationFiled: October 18, 2011Publication date: April 19, 2012Applicant: ZEITERA, LLCInventors: Jose Pio Pereira, Shashank Merchant, Prashant Ramanathan, Sunil Suresh Kulkarni, Mihailo Stojancic
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Publication number: 20100318515Abstract: The overall architecture and details of a scalable video fingerprinting and identification system that is robust with respect to many classes of video distortions is described. In this system, a fingerprint for a piece of multimedia content is composed of a number of compact signatures, along with traversal hash signatures and associated metadata. Numerical descriptors are generated for features found in a multimedia clip, signatures are generated from these descriptors, and a reference signature database is constructed from these signatures. Query signatures are also generated for a query multimedia clip. These query signatures are searched against the reference database using a fast similarity search procedure, to produce a candidate list of matching signatures. This candidate list is further analyzed to find the most likely reference matches. Signature correlation is performed between the likely reference matches and the query clip to improve detection accuracy.Type: ApplicationFiled: May 3, 2010Publication date: December 16, 2010Applicant: Zeitera, LLCInventors: Prashant Ramanathan, Jose Pio Pereira, Shashank Merchant
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Publication number: 20100303338Abstract: Video sequence processing is described with various filtering rules applied to extract dominant features for content based video sequence identification. Active regions are determined in video frames of a video sequence. Video frames are selected in response to temporal statistical characteristics of the determined active regions. A two pass analysis is used to detect a set of initial interest points and interest regions in the selected video frames to reduce the effective area of images that are refined by complex filters that provide accurate region characterizations resistant to image distortion for identification of the video frames in the video sequence. Extracted features and descriptors are robust with respect to image scaling, aspect ratio change, rotation, camera viewpoint change, illumination and contrast change, video compression/decompression artifacts and noise.Type: ApplicationFiled: November 5, 2009Publication date: December 2, 2010Applicant: Zeitera, LLCInventors: Mihailo Stojancic, Prashant Ramanathan, Peter Wendt, Jose Pio Pereira
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Publication number: 20100306193Abstract: A method is presented for large media data base query and media entry identification based on multi-level similarity search and reference-query entry correlation. Media content fingerprinting detects unique features and generates discriminative descriptors and signatures used to form preliminary reference data base. The preliminary reference data base is processed and a subset-set of it is selected to form a final reference data base. To identify a media query a fast similarity search is performed first on the reference database resulting in a preliminary set of likely matching videos. For each preliminary likely matching video a further multi-level correlation is performed which includes iterative refinement, sub-sequence merging, and final result classification.Type: ApplicationFiled: May 27, 2010Publication date: December 2, 2010Applicant: Zeitera, LLCInventors: Jose Pio Pereira, Sunil Suresh Kulkarni, Shashank Merchant, Prashant Ramanathan, Pradipkumar Dineshbhai Gajjar
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Publication number: 20100007797Abstract: Video sequence processing with various filtering rules is applied to extract dominant spatial features and generate unique set of signatures describing video content. Accurate active regions are determined for each video sequence frame. Subsequently, a video sequence is structured by tracking statistical changes in the content of a succession of video frames, and suitable frames are selected for further spatial processing. Selected video frames are processed for feature extraction and description, and compact representative signatures are generated, resulting in an efficient video database formation and search.Type: ApplicationFiled: June 25, 2009Publication date: January 14, 2010Applicant: Zeitera, LLCInventor: Mihailo M. Stojancic
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Publication number: 20080310731Abstract: Scaleable video sequence processing with various filtering rules is applied to extract dominant features, and generate unique set of signatures based on video content. Video sequence structuring and subsequent video sequence characterization is performed by tracking statistical changes in the content of a succession of video frames and selecting suitable frames for further treatment by region based intra-frame segmentation and contour tracing and description. Compact representative signatures are generated on the video sequence structural level as well as on the selected video frame level, resulting in an efficient video database formation and search.Type: ApplicationFiled: June 18, 2008Publication date: December 18, 2008Applicant: Zeitera, LLCInventors: Mihailo M. Stojancic, Jose Pio Pereira, Shashank Merchant
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Publication number: 20080313140Abstract: A multi-dimensional database and indexes and operations on the multi-dimensional database are described which include video search applications or other similar sequence or structure searches. Traversal indexes utilize highly discriminative information about images and video sequences or about object shapes. Global and local signatures around keypoints are used for compact and robust retrieval and discriminative information content of images or video sequences of interest. For other objects or structures relevant signature of pattern or structure are used for traversal indexes. Traversal indexes are stored in leaf nodes along with distance measures and occurrence of similar images in the database. During a sequence query, correlation scores are calculated for single frame, for frame sequence, and video clips, or for other objects or structures.Type: ApplicationFiled: June 18, 2008Publication date: December 18, 2008Applicant: Zeitera, LLCInventors: Jose Pio Pereira, Mihailo M. Stojancic, Shashank Merchant