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公开(公告)号:US20200029129A1
公开(公告)日:2020-01-23
申请号:US16181978
申请日:2018-11-06
Applicant: Gracenote, Inc.
Inventor: Kurt R. Thielen , Shashank Merchant , Peter Dunker , Markus K. Cremer , Chungwon Seo , Seunghyeong Lee , Steven D. Scherf
IPC: H04N21/472 , H04N9/87 , H04N21/431 , H04N21/81 , H04N21/44
Abstract: In one aspect, an example method includes (i) providing, by a playback device, replacement media content for display; (ii) determining, by the playback device that while the playback device is displaying the replacement media content a remote control transmitted an instruction to a media device that provides media content to the playback device; (iii) determining, by the playback device, a playback-modification action corresponding to the instruction and the media device; and (iv) modifying, by the playback device, playback of the replacement media content in accordance with the playback-modification action.
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公开(公告)号:US20200029118A1
公开(公告)日:2020-01-23
申请号:US16182201
申请日:2018-11-06
Applicant: Gracenote, Inc.
Inventor: Kurt R. Thielen , Peter Dunker , Markus K. Cremer , Steven D. Scherf , Shashank Merchant
IPC: H04N21/431 , H04N21/234 , H04N21/262 , H04N21/4415 , H04N21/488
Abstract: In one aspect, an example method includes (i) identifying, by a playback device, a media device based on a control message received from the media device by way of an audio and/or video interface, where the media device provides media content to the playback device; (ii) providing, by the playback device, replacement media content for display; (iii) determining, by the playback device, that while the playback device is displaying the replacement media content a remote control transmitted an instruction to the identified media device; (iv) determining, by the playback device, a playback-modification action corresponding to the instruction and the identified media device; and (v) modifying, by the playback device, playback of the replacement media content in accordance with the playback-modification action.
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公开(公告)号:US20200004782A1
公开(公告)日:2020-01-02
申请号:US16442414
申请日:2019-06-14
Applicant: Gracenote, Inc.
Inventor: Jose Pio Pereira , Mihailo M. Stojancic , Shashank Merchant
IPC: G06F16/783 , G06F16/71 , G06F16/901 , G06K9/00 , G06T7/11 , G06T7/12 , G06T7/162 , G06T7/10
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:US20190272290A1
公开(公告)日:2019-09-05
申请号:US16240859
申请日:2019-01-07
Applicant: Gracenote, Inc.
Inventor: Jose Pio Pereira , Mihailo M. Stojancic , Shashank Merchant
IPC: G06F16/783 , G06F16/901 , G06F16/71 , G06K9/00 , G06T7/10 , G06T7/162 , G06T7/12 , G06T7/11
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:US20190251114A1
公开(公告)日:2019-08-15
申请号:US16387456
申请日:2019-04-17
Applicant: Gracenote, Inc.
Inventor: Jose Pio Pereira , Sunil Suresh Kulkarni , Shashank Merchant , Prashant Ramanathan , Pradipkumar Dineshbhai Gajjar
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:US10210252B2
公开(公告)日:2019-02-19
申请号:US15290364
申请日:2016-10-11
Applicant: Gracenote, Inc.
Inventor: Jose Pio Pereira , Mihailo M. Stojancic , Shashank Merchant
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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57.
公开(公告)号:US10146100B2
公开(公告)日:2018-12-04
申请号:US15839447
申请日:2017-12-12
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 content presented via a media presentation device based on a fingerprint associated with the content and derive metadata from the identified content. The example apparatus includes a content driven analyzer to determine a light effect to be produced by a light-generating device based on the metadata, generate an instruction for the light-generating device to produce the light effect, and transmit the instruction to the light-generating device during presentation of the content.
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公开(公告)号:US09785708B2
公开(公告)日:2017-10-10
申请号:US14718218
申请日:2015-05-21
Applicant: GRACENOTE, INC.
Inventor: Sunil Suresh Kulkarni , Jose Pio Pereira , Pradipkumar Dineshbhai Gajjar , Shashank Merchant , Prashant Ramanathan , Mihailo M. Stojancic
IPC: G06F17/30
CPC classification number: G06F17/30799 , G06F17/30023 , G06F17/3033 , G06F17/30424 , G06F17/30864
Abstract: An architecture for a multimedia search system is described. To perform similarity matching of multimedia query frames against reference content, reference database comprising of a cluster index using cluster keys to perform similarity matching and a multimedia index to perform sequence matching is built. Methods to update and maintain the reference database that enables addition and removal of the multimedia contents, including portions of multimedia content, from the reference database in a running system are described. Hierarchical multi-level partitioning methods to organize the reference database are presented. Smart partitioning of the reference multimedia content according to the nature of the multimedia content, and according to the popularity among the social media, that supports scalable fast multimedia identification is also presented. A caching mechanism for multimedia search queries in a centralized or in a decentralized distributed system and a client based local multimedia search system enabling multimedia tracking are described.
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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
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。
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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。
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