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1. 发明授权

US11288823B2 Logo recognition in images and videos 有权
公开(公告)号：US11288823B2
公开(公告)日：2022-03-29
申请号：US16841681
申请日：2020-04-07
申请人： Gracenote, Inc.
发明人： Jose Pio Pereira , Kyle Brocklehurst , Sunil Suresh Kulkarni , Peter Wendt
IPC分类号： G06T7/60 , G06T7/33 , G06K9/46 , G06K9/62 , G06T7/11
摘要： Methods, apparatus, systems and articles of manufacture of logo recognition in images and videos are disclosed. An example method to detect a specific brand in images and video streams comprises accepting luminance images at a scale in an x direction Sx and a different scale in a y direction Sy in a neural network, and training the neural network with a set of training images for detected features associated with a specific brand.

2. 发明申请

US20190251113A1 Media Fingerprinting and Identification System 审中-公开
公开(公告)号：US20190251113A1
公开(公告)日：2019-08-15
申请号：US16387448
申请日：2019-04-17
申请人： Gracenote, Inc.
发明人： Jose Pio Pereira , Sunil Suresh Kulkarni , Shashank Merchant , Prashant Ramanathan , Pradipkumar Dineshbhai Gajjar
IPC分类号： G06F16/48 , G06F16/901 , G06F16/783 , G06F16/22 , G06F16/951 , G06K9/00 , G06F16/28 , G06F16/41 , G06K9/46
CPC分类号： G06F16/48 , G06F16/2255 , G06F16/285 , G06F16/41 , G06F16/783 , G06F16/7847 , G06F16/9014 , G06F16/951 , G06K9/00744 , G06K9/4671 , Y10S707/913
摘要： 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.

3. 发明授权

US10360905B1 Robust audio identification with interference cancellation 有权
公开(公告)号：US10360905B1
公开(公告)日：2019-07-23
申请号：US15456859
申请日：2017-03-13
申请人： Gracenote, Inc.
发明人： Jose Pio Pereira , Sunil Suresh Kulkarni , Mihailo M. Stojancic , Shashank Merchant , Peter Wendt
IPC分类号： G10L15/20 , G10L15/02 , G10L21/0232 , G10L15/14 , G10L15/10 , G10L25/81 , G10L15/06 , G10L21/0216
摘要： Audio distortion compensation methods to improve accuracy and efficiency of audio content identification are described. The method is also applicable to speech recognition. Methods to detect the interference from speakers and sources, and distortion to audio from environment and devices are discussed. Additional methods to detect distortion to the content after performing search and correlation are illustrated. The causes of actual distortion at each client are measured and registered and learnt to generate rules for determining likely distortion and interference sources. The learnt rules are applied at the client, and likely distortions that are detected are compensated or heavily distorted sections are ignored at audio level or signature and feature level based on compute resources available. Further methods to subtract the likely distortions in the query at both audio level and after processing at signature and feature level are described.

4. 发明申请

US20160371269A1 Distributed and Tiered Architecture for Content Search and Content Monitoring 有权
公开(公告)号：US20160371269A1
公开(公告)日：2016-12-22
申请号：US15163004
申请日：2016-05-24
申请人： Gracenote, Inc.
发明人： Jose Pio Pereira , Shashank Merchant , Prashant Ramanathan , Sunil Suresh Kulkarni , Mihailo M. Stojancic
IPC分类号： G06F17/30
CPC分类号： G06F17/30038 , G06F17/3002 , G06F17/30029 , G06F17/30377 , G06F17/3056
摘要： 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.

5. 发明申请

US20160132500A1 DISTRIBUTED AND TIERED ARCHITECTURE FOR CONTENT SEARCH AND CONTENT MONITORING 有权
标题翻译：内容搜索和内容监控的分布式和分层结构
公开(公告)号：US20160132500A1
公开(公告)日：2016-05-12
申请号：US14990565
申请日：2016-01-07
申请人： Gracenote, Inc.
发明人： Jose Pio Pereira , Shashank Merchant , Prashant Ramanathan , Sunil Suresh Kulkarni , Mihailo Stojancic
IPC分类号： G06F17/30
CPC分类号： G06F17/30038 , G06F17/3002 , G06F17/30029 , G06F17/30377 , G06F17/3056
摘要： 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.
摘要翻译：描述了使用分布式数据库和搜索以及分层搜索服务器的视频和多媒体内容的高效大规模搜索系统。所选内容存储在分布式本地数据库和tier1搜索服务器上。内容匹配频繁查询和频繁的不明查询在搜索系统的各个级别进行缓存。内容使用特征描述符和地理方面，在特征级别和时间段中进行分类。在客户端和tier1搜索服务器上未识别的查询被查询到tier2或更低的搜索服务器。搜索服务器使用分类和地理分区来降低搜索成本。在客户端执行内容跟踪和本地内容搜索的方法。客户端用参考内容和具有参考指纹数据库的本地搜索来执行查询内容的本地搜索，监视和/或跟踪。这将内容搜索工作负载从中央服务器转移到分布式监控客户端。

6. 发明申请

US20210020171A1 Digital Video Fingerprinting Using Motion Segmentation 有权
公开(公告)号：US20210020171A1
公开(公告)日：2021-01-21
申请号：US16916179
申请日：2020-06-30
申请人： Gracenote, Inc.
发明人： Jose Pio Pereira , Mihailo M. Stojancic
IPC分类号： G10L15/20 , G06K9/00 , G06K9/46 , G06T7/246 , G06T7/215 , G06K9/62 , G06F16/00 , G06T7/254 , G10L15/02 , G10L15/06 , G10L15/10 , G10L15/14 , G10L21/0232 , G10L25/81
摘要： Methods of processing video are presented to generate signatures for motion segmented regions over two or more frames. Two frames are differenced using an adaptive threshold to generate a two-frame difference image. The adaptive threshold is based on a motion histogram analysis which may vary according to motion history data. Also, a count of pixels is determined in image regions of the motion adapted two-frame difference image which identifies when the count is not within a threshold range to modify the motion adaptive threshold. A motion history image is created from the two-frame difference image. The motion history image is segmented to generate one or more motion segmented regions and a descriptor and a signature are generated for a selected motion segmented region.

7. 发明申请

US20200372662A1 Logo Recognition in Images and Videos 审中-公开
公开(公告)号：US20200372662A1
公开(公告)日：2020-11-26
申请号：US16841681
申请日：2020-04-07
申请人： Gracenote, Inc.
发明人： Jose Pio Pereira , Kyle Brocklehurst , Sunil Suresh Kulkarni , Peter Wendt
IPC分类号： G06T7/33 , G06K9/46 , G06T7/60 , G06K9/62 , G06T7/11
摘要： Methods, apparatus, systems and articles of manufacture of logo recognition in images and videos are disclosed. An example method to detect a specific brand in images and video streams comprises accepting luminance images at a scale in an x direction Sx and a different scale in a y direction Sy in a neural network, and training the neural network with a set of training images for detected features associated with a specific brand.

8. 发明授权

US10733985B2 Digital video fingerprinting using motion segmentation 有权
公开(公告)号：US10733985B2
公开(公告)日：2020-08-04
申请号：US16140534
申请日：2018-09-25
申请人： Gracenote, Inc.
发明人： Jose Pio Pereira , Mihailo M. Stojancic
IPC分类号： G06K9/00 , G10L15/20 , G06K9/46 , G06T7/246 , G06T7/215 , G06K9/62 , G06F16/00 , G06T7/254 , G10L15/02 , G10L15/06 , G10L15/10 , G10L15/14 , G10L21/0232 , G10L25/81 , G10L21/0216
摘要： Methods of processing video are presented to generate signatures for motion segmented regions over two or more frames. Two frames are differenced using an adaptive threshold to generate a two-frame difference image. The adaptive threshold is based on a motion histogram analysis which may vary according to motion history data. Also, a count of pixels is determined in image regions of the motion adapted two-frame difference image which identifies when the count is not within a threshold range to modify the motion adaptive threshold. A motion history image is created from the two-frame difference image. The motion history image is segmented to generate one or more motion segmented regions and a descriptor and a signature are generated for a selected motion segmented region.

9. 发明申请

US20200004781A1 Method and Apparatus for Multi-Dimensional Content Search and Video Identification 审中-公开
公开(公告)号：US20200004781A1
公开(公告)日：2020-01-02
申请号：US16442404
申请日：2019-06-14
申请人： Gracenote, Inc.
发明人： Jose Pio Pereira , Mihailo M. Stojancic , Shashank Merchant
IPC分类号： G06F16/783 , G06F16/71 , G06F16/901 , G06K9/00 , G06T7/11 , G06T7/12 , G06T7/162 , G06T7/10
摘要： 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.

10. 发明申请

US20200004780A1 Method and Apparatus for Multi-Dimensional Content Search and Video Identification 审中-公开
公开(公告)号：US20200004780A1
公开(公告)日：2020-01-02
申请号：US16442398
申请日：2019-06-14
申请人： Gracenote, Inc.
发明人： Jose Pio Pereira , Mihailo M. Stojancic , Shashank Merchant
IPC分类号： G06F16/783 , G06F16/71 , G06F16/901 , G06K9/00 , G06T7/11 , G06T7/12 , G06T7/162 , G06T7/10
摘要： 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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