Media channel identification and action, with disambiguation through client-side fingerprint matching of channel-specific icon

    公开(公告)号:US11638058B2

    公开(公告)日:2023-04-25

    申请号:US17644658

    申请日:2021-12-16

    Applicant: Roku, Inc.

    Abstract: Disclosed is a method including (i) detecting that query fingerprint data representing frames of video content being rendered by a media presentation device matches reference fingerprint data representing frames of multiple channels of video content, including detecting that the query fingerprint data matches multiple instances of reference fingerprint data each representing frames of a different respective channel in the multiple channels of video content, and (ii) responsive to at least the detecting that the query fingerprint data representing the frames of the video content being rendered by the device matches the reference fingerprint data representing the frames of the multiple channels of video content, configuring the device with channel-icon fingerprint data representing channel icons of the multiple channels of video content, to enable the device to perform channel-icon fingerprint matching to determine which channel of the multiple channels is being rendered by the device.

    Media fingerprinting and identification system

    公开(公告)号:US11455328B2

    公开(公告)日:2022-09-27

    申请号:US16869214

    申请日:2020-05-07

    Applicant: Roku, Inc.

    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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