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11.发明申请Digital Video Content Fingerprinting Based on Scale Invariant Interest Region Detection with an Array of Anisotropic Filters 有权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公开(公告)号：US20120207402A1
公开(公告)日：2012-08-16
申请号：US13455560
申请日：2012-04-25
IPC分类号： G06K9/40
CPC分类号： G06K9/00503 , G06F17/30799 , G06F17/30805 , G06F17/30814 , G06K9/0053 , G06K9/00744 , G06K9/4676 , H04N5/14
摘要： 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.
摘要翻译： 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。
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12.发明授权Digital video content fingerprinting based on scale invariant interest region detection with an array of anisotropic filters 有权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公开(公告)号：US08189945B2
公开(公告)日：2012-05-29
申请号：US12612729
申请日：2009-11-05
CPC分类号： G06K9/00503 , G06F17/30799 , G06F17/30805 , G06F17/30814 , G06K9/0053 , G06K9/00744 , G06K9/4676 , H04N5/14
摘要： 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.
摘要翻译： 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。
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13.发明申请Digital Video Content Fingerprinting Based on Scale Invariant Interest Region Detection with an Array of Anisotropic Filters 有权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公开(公告)号：US20100303338A1
公开(公告)日：2010-12-02
申请号：US12612729
申请日：2009-11-05
CPC分类号： G06K9/00503 , G06F17/30799 , G06F17/30805 , G06F17/30814 , G06K9/0053 , G06K9/00744 , G06K9/4676 , H04N5/14
摘要： 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.
摘要翻译： 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。
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公开(公告)号：US09053104B2
公开(公告)日：2015-06-09
申请号：US14059688
申请日：2013-10-22
CPC分类号： G06F17/30038 , G06F17/3002 , G06F17/3033 , G06F17/30598 , G06F17/30784 , G06F17/30799 , G06F17/30864 , G06F17/30949 , 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.
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公开(公告)号：US20100318515A1
公开(公告)日：2010-12-16
申请号：US12772566
申请日：2010-05-03
CPC分类号： G06F17/30038 , G06F17/3002 , G06F17/3033 , G06F17/30598 , G06F17/30784 , G06F17/30799 , G06F17/30864 , G06F17/30949 , 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.
摘要翻译： 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：US09195663B2
公开(公告)日：2015-11-24
申请号：US14711054
申请日：2015-05-13
IPC分类号： G06F17/30
CPC分类号： G06F17/30038 , G06F17/3002 , G06F17/3033 , G06F17/30598 , G06F17/30784 , G06F17/30799 , G06F17/30864 , G06F17/30949 , 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.
摘要翻译： 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：US20150242399A1
公开(公告)日：2015-08-27
申请号：US14711054
申请日：2015-05-13
IPC分类号： G06F17/30
CPC分类号： G06F17/30038 , G06F17/3002 , G06F17/3033 , G06F17/30598 , G06F17/30784 , G06F17/30799 , G06F17/30864 , G06F17/30949 , 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.
摘要翻译： 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：US20140052737A1
公开(公告)日：2014-02-20
申请号：US14059688
申请日：2013-10-22
IPC分类号： G06F17/30
CPC分类号： G06F17/30038 , G06F17/3002 , G06F17/3033 , G06F17/30598 , G06F17/30784 , G06F17/30799 , G06F17/30864 , G06F17/30949 , 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.
摘要翻译： 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：US20120215789A1
公开(公告)日：2012-08-23
申请号：US13463137
申请日：2012-05-03
IPC分类号： G06F17/30
CPC分类号： G06F17/30038 , G06F17/3002 , G06F17/3033 , G06F17/30598 , G06F17/30784 , G06F17/30799 , G06F17/30864 , G06F17/30949 , 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.
摘要翻译： 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：US08364703B2
公开(公告)日：2013-01-29
申请号：US13463137
申请日：2012-05-03
IPC分类号： G06F17/30
CPC分类号： G06F17/30038 , G06F17/3002 , G06F17/3033 , G06F17/30598 , G06F17/30784 , G06F17/30799 , G06F17/30864 , G06F17/30949 , 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.
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