公开(公告)号：US20170068671A1

公开(公告)日：2017-03-09

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: G06F17/30 ,  G06K9/46 ,  G06K9/00

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.

Abstract translation: 描述了关于许多类视频失真的鲁棒性的可扩展视频指纹识别系统的总体架构和细节。 在该系统中，用于一张多媒体内容的指纹由许多紧凑签名以及遍历哈希签名和相关联的元数据组成。 为多媒体剪辑中发现的特征生成数字描述符，从这些描述符生成签名，并从这些签名构建参考签名数据库。 还为查询多媒体剪辑生成查询签名。 使用快速相似性搜索过程针对参考数据库搜索这些查询签名，以产生匹配签名的候选列表。 进一步分析该候选列表以找到最可能的参考匹配。 在可能的参考匹配和查询剪辑之间执行签名相关性，以提高检测精度。

公开(公告)号：US20160267079A1

公开(公告)日：2016-09-15

申请号：US15073858

申请日：2016-03-18

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.

Abstract translation: 描述了关于许多类视频失真的鲁棒性的可扩展视频指纹识别系统的总体架构和细节。 在该系统中，用于一张多媒体内容的指纹由许多紧凑签名以及遍历哈希签名和相关联的元数据组成。 为多媒体剪辑中发现的特征生成数字描述符，从这些描述符生成签名，并从这些签名构建参考签名数据库。 还为查询多媒体剪辑生成查询签名。 使用快速相似性搜索过程针对参考数据库搜索这些查询签名，以产生匹配签名的候选列表。 进一步分析该候选列表以找到最可能的参考匹配。 在可能的参考匹配和查询剪辑之间执行签名相关性，以提高检测精度。