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    • 1. 发明申请
    • Digital Video Content Fingerprinting Based on Scale Invariant Interest Region Detection with an Array of Anisotropic Filters
    • 基于尺度不变兴趣区域的数字视频内容指纹识别与各向异性滤波器阵列
    • US20120207402A1
    • 2012-08-16
    • US13455560
    • 2012-04-25
    • Mihailo StojancicPrashant RamanathanPeter WendtJose Pio Pereira
    • Mihailo StojancicPrashant RamanathanPeter WendtJose Pio Pereira
    • G06K9/40
    • G06K9/00503G06F17/30799G06F17/30805G06F17/30814G06K9/0053G06K9/00744G06K9/4676H04N5/14
    • Video sequence processing is described with various filtering rules applied to extract dominant features for content based video sequence identification. Active regions are determined in video frames of a video sequence. Video frames are selected in response to temporal statistical characteristics of the determined active regions. A two pass analysis is used to detect a set of initial interest points and interest regions in the selected video frames to reduce the effective area of images that are refined by complex filters that provide accurate region characterizations resistant to image distortion for identification of the video frames in the video sequence. Extracted features and descriptors are robust with respect to image scaling, aspect ratio change, rotation, camera viewpoint change, illumination and contrast change, video compression/decompression artifacts and noise. Compact, representative signatures are generated for video sequences to provide effective query video matching and retrieval in a large video database.
    • 使用应用于提取用于基于内容的视频序列识别的主要特征的各种滤波规则来描述视频序列处理。 在视频序列的视频帧中确定有效区域。 响应于所确定的活动区域的时间统计特性来选择视频帧。 双通道分析用于检测所选择的视频帧中的一组初始兴趣点和感兴趣区域,以减少由复杂滤波器精化的图像的有效面积,该复杂滤波器提供抵抗图像失真的精确区域表征以识别视频帧 在视频序列中。 提取的特征和描述符在图像缩放,宽高比变化,旋转,相机视点改变,照明和对比度变化,视频压缩/解压缩伪像和噪声方面是稳健的。 为视频序列生成紧凑的代表性签名,以便在大型视频数据库中提供有效的查询视频匹配和检索。
    • 4. 发明授权
    • Distributed and tiered architecture for content search and content monitoring
    • 分布式和分层架构,用于内容搜索和内容监控
    • US08959108B2
    • 2015-02-17
    • US13276110
    • 2011-10-18
    • Jose Pio PereiraShashank MerchantPrashant RamanathanSunil Suresh KulkarniMihailo Stojancic
    • Jose Pio PereiraShashank MerchantPrashant RamanathanSunil Suresh KulkarniMihailo Stojancic
    • G06F17/30
    • G06F17/30038G06F17/3002G06F17/30029G06F17/30377G06F17/3056
    • 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.
    • 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. 发明授权
    • Digital video content fingerprinting based on scale invariant interest region detection with an array of anisotropic filters
    • 基于尺度不变兴趣区域检测的数字视频内容指纹与各向异性过滤器阵列
    • US08189945B2
    • 2012-05-29
    • US12612729
    • 2009-11-05
    • Mihailo StojancicPrashant RamanathanPeter WendtJose Pio Pereira
    • Mihailo StojancicPrashant RamanathanPeter WendtJose Pio Pereira
    • G06K9/00G06K9/46G06K9/40
    • G06K9/00503G06F17/30799G06F17/30805G06F17/30814G06K9/0053G06K9/00744G06K9/4676H04N5/14
    • Video sequence processing is described with various filtering rules applied to extract dominant features for content based video sequence identification. Active regions are determined in video frames of a video sequence. Video frames are selected in response to temporal statistical characteristics of the determined active regions. A two pass analysis is used to detect a set of initial interest points and interest regions in the selected video frames to reduce the effective area of images that are refined by complex filters that provide accurate region characterizations resistant to image distortion for identification of the video frames in the video sequence. Extracted features and descriptors are robust with respect to image scaling, aspect ratio change, rotation, camera viewpoint change, illumination and contrast change, video compression/decompression artifacts and noise. Compact, representative signatures are generated for video sequences to provide effective query video matching and retrieval in a large video database.
    • 使用应用于提取用于基于内容的视频序列识别的主要特征的各种滤波规则来描述视频序列处理。 在视频序列的视频帧中确定有效区域。 响应于所确定的活动区域的时间统计特性来选择视频帧。 双通道分析用于检测所选择的视频帧中的一组初始兴趣点和感兴趣区域,以减少由复杂滤波器精化的图像的有效面积,该复杂滤波器提供抵抗图像失真的精确区域表征以识别视频帧 在视频序列中。 提取的特征和描述符在图像缩放,宽高比变化,旋转,相机视点改变,照明和对比度变化,视频压缩/解压缩伪像和噪声方面是稳健的。 为视频序列生成紧凑的代表性签名,以便在大型视频数据库中提供有效的查询视频匹配和检索。
    • 7. 发明申请
    • Distributed and Tiered Architecture for Content Search and Content Monitoring
    • 分布式和分层架构,用于内容搜索和内容监控
    • US20120095958A1
    • 2012-04-19
    • US13276110
    • 2011-10-18
    • Jose Pio PereiraShashank MerchantPrashant RamanathanSunil Suresh KulkarniMihailo Stojancic
    • Jose Pio PereiraShashank MerchantPrashant RamanathanSunil Suresh KulkarniMihailo Stojancic
    • G06F17/30G06F15/16
    • G06F17/30038G06F17/3002G06F17/30029G06F17/30377G06F17/3056
    • 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.
    • 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。
    • 8. 发明申请
    • Distributed and Tiered Architecture for Content Search and Content Monitoring
    • 分布式和分层架构,用于内容搜索和内容监控
    • US20150112988A1
    • 2015-04-23
    • US14589366
    • 2015-01-05
    • Jose Pio PereiraShashank MerchantPrashant RamanathanSunil Suresh KulkarniMihailo Stojancic
    • Jose Pio PereiraShashank MerchantPrashant RamanathanSunil Suresh KulkarniMihailo Stojancic
    • G06F17/30
    • G06F17/30038G06F17/3002G06F17/30029G06F17/30377G06F17/3056
    • 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.
    • 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。
    • 9. 发明授权
    • Digital video content fingerprinting using image pixel intensity and color information
    • 数字视频内容指纹使用图像像素强度和颜色信息
    • US08666152B1
    • 2014-03-04
    • US12955416
    • 2010-11-29
    • Prashant RamanathanMihailo Stojancic
    • Prashant RamanathanMihailo Stojancic
    • G06K9/00
    • G06K9/00744
    • Techniques are described for improving accuracy and speed of video fingerprinting and identification by using video frame color and intensity information. Multiple approaches for generating a novel signature based on video frame color information are described. One is based on spatial distribution of pixel intensities with reference to derived color groups, while another is based on thresholding a joint histogram of pixel intensity, color, and spatial coordinates. These color based signatures can be deployed either as primary video content signatures, or as hash traversal signatures used to improve speed of an initial stage of video data base search procedures. They can also be used as secondary signatures during a video signature data base search with primary video content signatures, to help disambiguate possible false positive matches, and to improve marginal matches which might not be identified otherwise.
    • 描述了通过使用视频帧颜色和强度信息来提高视频指纹识别和识别的精度和速度的技术。 描述了基于视频帧颜色信息生成新颖签名的多种方法。 一个是基于参考衍生颜色组的像素强度的空间分布,而另一个基于阈值化像素强度,颜色和空间坐标的联合直方图。 这些基于颜色的签名可以被部署为主要视频内容签名,或者作为用于提高视频数据库搜索过程的初始阶段的速度的散列遍历签名。 在主要视频内容签名的视频签名数据库搜索期间,它们也可以用作辅助签名,以帮助消除可能的假阳性匹配,并改善可能无法识别的边缘匹配。