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公开(公告)号:US10423654B2
公开(公告)日:2019-09-24
申请号:US16355727
申请日:2019-03-16
Applicant: Gracenote, Inc.
Inventor: Prashant Ramanathan , Jose Pio Pereira , Shashank Merchant , Mihailo M. Stojancic
IPC: G06F16/00 , G06F16/48 , G06F16/783 , G06K9/46 , G06F16/901 , G06F16/41 , G06F16/22 , G06F16/951 , G06K9/00 , G06F16/28
Abstract: 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.
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公开(公告)号:US20190220478A1
公开(公告)日:2019-07-18
申请号:US16365577
申请日:2019-03-26
Applicant: Gracenote, Inc.
Inventor: Prashant Ramanathan , Jose Pio Pereira , Shashank Merchant , Mihailo M. Stojancic
IPC: G06F16/48 , G06F16/901 , G06F16/783 , G06F16/22 , G06F16/951 , G06K9/00 , G06F16/28 , G06F16/41 , G06K9/46
CPC classification number: G06F16/48 , G06F16/2255 , G06F16/285 , G06F16/41 , G06F16/783 , G06F16/7847 , G06F16/9014 , G06F16/951 , G06K9/00744 , G06K9/4671 , Y10S707/913
Abstract: 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.
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公开(公告)号:US20190213210A1
公开(公告)日:2019-07-11
申请号:US16355727
申请日:2019-03-16
Applicant: Gracenote, Inc.
Inventor: Prashant Ramanathan , Jose Pio Pereira , Shashank Merchant , Mihailo M. Stojancic
IPC: G06F16/48 , G06F16/901 , G06F16/783 , G06F16/22 , G06F16/951 , G06K9/00 , G06F16/28 , G06F16/41 , G06K9/46
CPC classification number: G06F16/48 , G06F16/2255 , G06F16/285 , G06F16/41 , G06F16/783 , G06F16/7847 , G06F16/9014 , G06F16/951 , G06K9/00744 , G06K9/4671 , Y10S707/913
Abstract: 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.
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公开(公告)号:US09489455B2
公开(公告)日:2016-11-08
申请号:US15078056
申请日:2016-03-23
Applicant: Gracenote, Inc.
Inventor: Jose Pio Pereira , Mihailo M. Stojancic , Shashank Merchant
CPC classification number: G06F17/3079 , G06F17/30799 , G06F17/30805 , G06F17/30858 , G06F17/30949 , G06K9/00711 , G06K9/00718 , G06K9/00758 , G06K2009/00738 , G06T7/10 , G06T7/11 , G06T7/12 , G06T7/162 , G06T2207/10016 , G06T2207/20021
Abstract: 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.
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公开(公告)号:US09436689B2
公开(公告)日:2016-09-06
申请号:US14990565
申请日:2016-01-07
Applicant: Gracenote, Inc.
Inventor: Jose Pio Pereira , Shashank Merchant , Prashant Ramanathan , Sunil Suresh Kulkarni , Mihailo Stojancic
IPC: G06F17/30
CPC classification number: G06F17/30038 , G06F17/3002 , G06F17/30029 , G06F17/30377 , G06F17/3056
Abstract: 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. This shifts the content search workload from central servers to the distributed monitoring clients.
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46.
公开(公告)号:US10970328B1
公开(公告)日:2021-04-06
申请号:US16140531
申请日:2018-09-24
Applicant: Gracenote, Inc.
Inventor: Sunil Suresh Kulkarni , Pradipkumar Dineshbhai Gajjar , Jose Pio Pereira , Prashant Ramanathan , Mihailo M. Stojancic , Shashank Merchant
IPC: G06F16/45 , G06F16/48 , G06F16/906 , G06F16/44
Abstract: Techniques are described that exclude use of “stop-fingerprints” from media database formation and search query to an automatic content recognition (ACR) systems based on media content fingerprints updated by stop-fingerprint analysis. A classification process is presented which takes in fingerprints from reference media files as an input and produces a modified set of fingerprints as an output by applying a novel stop-fingerprint classification algorithm. Architecture for the distributed stop-fingerprint generation is presented. Various cases, as stop-fingerprints generation for the entire reference database, stop-fingerprints generation for the individual reference fingerprint files, and temporal fingerprint classification obtained through intermediate steps of the temporal fingerprint classification algorithm are presented. A hash-based signature classification algorithm is also described.
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47.
公开(公告)号:US10956484B1
公开(公告)日:2021-03-23
申请号:US15456861
申请日:2017-03-13
Applicant: Gracenote, Inc.
Inventor: Sunil Suresh Kulkarni , Pradipkumar Dineshbhai Gajjar , Jose Pio Pereira , Prashant Ramanathan , Mihailo M. Stojancic , Shashank Merchant
IPC: G06F16/45 , G06F16/48 , G06F16/906 , G06F16/44
Abstract: Techniques are described that exclude use of “stop-fingerprints” from media database formation and search query to an automatic content recognition (ACR) systems based on media content fingerprints updated by stop-fingerprint analysis. A classification process is presented which takes in fingerprints from reference media files as an input and produces a modified set of fingerprints as an output by applying a novel stop-fingerprint classification algorithm. Architecture for the distributed stop-fingerprint generation is presented. Various cases, as stop-fingerprints generation for the entire reference database, stop-fingerprints generation for the individual reference fingerprint files, and temporal fingerprint classification obtained through intermediate steps of the temporal fingerprint classification algorithm are presented. A hash-based signature classification algorithm is also described.
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公开(公告)号:US10860647B2
公开(公告)日:2020-12-08
申请号:US16528237
申请日:2019-07-31
Applicant: Gracenote, Inc.
Inventor: Jeffrey Scott , Matthew James Wilkinson , Robert Coover , Shashank Merchant
IPC: G06F16/683 , G06K9/62 , G06F16/65 , G06F16/901 , G06K9/00
Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to improve media identification. An example apparatus includes a hash handler to generate a first set of reference matches by performing hash functions on a subset of media data associated with media to generate hashed media data based on a first bucket size, a candidate determiner to identify a second set of reference matches that include ones of the first set, the second set including ones having first quantities of hits that did not satisfy a threshold, determine second quantities of hits for ones of the second set by matching ones to the hash tables based on a second bucket size, and identify one or more candidate matches based on at least one of (1) ones of the first set or (2) ones of the second set, and a report generator to generate a report including a media identification.
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公开(公告)号:US20200265079A1
公开(公告)日:2020-08-20
申请号:US16869214
申请日:2020-05-07
Applicant: Gracenote, Inc.
Inventor: Prashant Ramanathan , Jose Pio Pereira , Shashank Merchant , Mihailo M. Stojancic
IPC: G06F16/48 , G06K9/46 , G06K9/00 , G06F16/901 , G06F16/783 , G06F16/22 , G06F16/951 , G06F16/28 , G06F16/41
Abstract: 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.
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50.
公开(公告)号:US20200050074A1
公开(公告)日:2020-02-13
申请号:US16658833
申请日:2019-10-21
Applicant: Gracenote, Inc.
Inventor: Markus Kurt Cremer , Shashank Merchant , Aneesh Vartakavi
Abstract: Example systems and methods to transform events and/or mood associated with playing media into lighting effects are disclosed herein. An example apparatus includes a content identifier to identify a first event occurring during presentation of media content at a first time. The example apparatus includes a content driven analyzer to determine a first lighting effect to be produced by a light-producing device based on the first event and instruct the light-producing device to produce the first lighting effect based on the first event during presentation of the media content. The content identifier is to identify a second media event occurring during presentation of the media content at a second time after the first time. The content driven analyzer is to instruct the light-producing device to one of maintain the first lighting effect based on the second event or produce a second lighting effect based on the second event during presentation of the media content.
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