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    Distributed and tiered architecture for content search and content monitoring
    13.
    发明授权
    Distributed and tiered architecture for content search and content monitoring 有权

    公开(公告)号：US09646007B2

    公开(公告)日：2017-05-09

    申请号：US15163004

    申请日：2016-05-24

    Applicant: Gracenote, Inc.

    Inventor： Jose Pio Pereira ,  Shashank Merchant ,  Prashant Ramanathan ,  Sunil Suresh Kulkarni ,  Mihailo M. 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.

    Distributed and tiered architecture for content search and content monitoring
    16.
    发明授权
    Distributed and tiered architecture for content search and content monitoring 有权

    公开(公告)号：US09262421B2

    公开(公告)日：2016-02-16

    申请号：US14589366

    申请日：2015-01-05

    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.

    Media Fingerprinting and Identification System
    17.
    发明申请
    Media Fingerprinting and Identification System 有权

    公开(公告)号：US20160034452A1

    公开(公告)日：2016-02-04

    申请号：US14885110

    申请日：2015-10-16

    Applicant: GRACENOTE, INC.

    Inventor： Prashant Ramanathan ,  Jose Pio Pereira ,  Shashank Merchant ,  Mihailo M. Stojancic

    IPC: G06F17/30

    CPC classification number: G06F17/30038 ,  G06F17/3002 ,  G06F17/3033 ,  G06F17/30598 ,  G06F17/30784 ,  G06F17/30799 ,  G06F17/30864 ,  G06F17/30949 ,  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.

    Media Fingerprinting and Identification System
    18.
    发明申请
    Media Fingerprinting and Identification System 审中-公开

    公开(公告)号：US20190384786A1

    公开(公告)日：2019-12-19

    申请号：US16553658

    申请日：2019-08-28

    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.

    Media fingerprinting and identification system
    19.
    发明授权
    Media fingerprinting and identification system 有权

    公开(公告)号：US10402443B2

    公开(公告)日：2019-09-03

    申请号：US15265002

    申请日：2016-09-14

    Applicant: Gracenote, Inc.

    Inventor： Prashant Ramanathan ,  Jose Pio Pereira ,  Shashank Merchant ,  Mihailo M. Stojancic

    IPC: G06F16/00 ,  G06F16/48 ,  G06F16/41 ,  G06F16/28 ,  G06F16/783 ,  G06F16/951 ,  G06F16/22 ,  G06F16/901 ,  G06K9/00 ,  G06K9/46

    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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