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11. 发明授权

US08683521B1 Feature-based video suggestions 有权
标题翻译：基于功能的视频建议
公开(公告)号：US08683521B1
公开(公告)日：2014-03-25
申请号：US12415923
申请日：2009-03-31
申请人： Ullas Gargi , Jay Yagnik
发明人： Ullas Gargi , Jay Yagnik
IPC分类号： G06F13/00
CPC分类号： H04N21/251 , H04N21/4826
摘要： A suggestion server generates suggestions of videos. The suggestion server analyzes log data to create co-watch data identifying pairs of co-watched videos and containing generate values representing the number of times the pairs of videos were co-watched. The suggestion server uses the co-watch data to create feature vectors for the co-watched videos. The suggestion server uses the feature vectors to train a ranker for each video. When trained, the ranker can be applied to a feature vector for a video to produce a ranking score. To produce suggestions for a given video, a set of candidate videos is defined. The suggestion server applies the feature vectors for the candidates to the ranker for the given video to produce ranking scores. The candidate videos are ranked based on their ranking scores, and the highest-ranked candidates are provided as suggestions for the given video.
摘要翻译：建议服务器生成视频的建议。建议服务器分析日志数据以创建识别共同观看视频对的共观察数据，并且包含表示视频对被共同观看的次数的生成值。建议服务器使用共同观察数据为共同观看的视频创建特征向量。建议服务器使用特征向量为每个视频训练游戏者。经过训练后，游戏者可以应用于视频的特征向量以产生排名得分。为了产生给定视频的建议，定义了一组候选视频。建议服务器将候选人的特征向量应用于给定视频的游侠以产生排名得分。候选视频根据其排名分数进行排名，排名最高的候选人被提供给给定视频的建议。

12. 发明授权

US08611689B1 Three-dimensional wavelet based video fingerprinting 有权
标题翻译：基于三维小波的视频指纹识别
公开(公告)号：US08611689B1
公开(公告)日：2013-12-17
申请号：US12968825
申请日：2010-12-15
申请人： Jay Yagnik , Henry A. Rowley , Sergey Ioffe
发明人： Jay Yagnik , Henry A. Rowley , Sergey Ioffe
IPC分类号： G06K9/00 , G06K9/46 , H04N7/167 , H04L9/32
CPC分类号： G06K9/00711 , H04N21/23418
摘要： A method and system generates and compares fingerprints for videos in a video library. The video fingerprints provide a compact representation of the spatial and sequential characteristics of the video that can be used to quickly and efficiently identify video content. Because the fingerprints are based on spatial and sequential characteristics rather than exact bit sequences, visual content of videos can be effectively compared even when there are small differences between the videos in compression factors, source resolutions, start and stop times, frame rates, and so on. Comparison of video fingerprints can be used, for example, to search for and remove copyright protected videos from a video library. Further, duplicate videos can be detected and discarded in order to preserve storage space.
摘要翻译：方法和系统生成并比较视频库中视频的指纹。视频指纹提供了可用于快速有效地识别视频内容的视频的空间和顺序特征的紧凑表示。因为指纹是基于空间和顺序特征而不是精确的比特序列，所以即使在压缩因素，源分辨率，开始和停止时间，帧率等之间的视频之间存在小的差异，也可以有效地比较视频的视觉内容上。可以使用比较视频指纹，例如，从视频库搜索和删除受版权保护的视频。此外，为了保存存储空间，可以检测和丢弃重复的视频。

13. 发明授权

US08572087B1 Content identification 有权
标题翻译：内容识别
公开(公告)号：US08572087B1
公开(公告)日：2013-10-29
申请号：US11873790
申请日：2007-10-17
申请人： Jay Yagnik
发明人： Jay Yagnik
IPC分类号： G06F17/30 , G06F7/00
CPC分类号： G06K9/6219 , G06F17/30247 , G06K9/00684
摘要： Systems, computer program products, and methods can identify a training set of content, and generate one or more clusters from the training set of content, where each of the one or more clusters represent similar features of the training set of content. The one or more clusters can be used to generate a classifier. New content is identified and the classifier is used to associate at least one label with the new content.
摘要翻译：系统，计算机程序产品和方法可以识别内容的训练集，并且从内容的训练集合生成一个或多个聚类，其中一个或多个聚类中的每一个表示训练集合的相似特征。一个或多个聚类可用于生成分类器。识别新内容，并且使用分类器将至少一个标签与新内容相关联。

14. 发明授权

US08510252B1 Classification of inappropriate video content using multi-scale features 有权
标题翻译：使用多尺度功能对不适当的视频内容进行分类
公开(公告)号：US08510252B1
公开(公告)日：2013-08-13
申请号：US12248780
申请日：2008-10-09
申请人： Ullas Gargi , Jay Yagnik
发明人： Ullas Gargi , Jay Yagnik
IPC分类号： G06F9/44 , G06N7/02 , G06N7/06
CPC分类号： G06K9/00523
摘要： A method, a system and a computer program product generate a statistical classification model used by a computer system to determine whether a video contains content in a particular class, such as inappropriate content.
摘要翻译：方法，系统和计算机程序产品产生计算机系统使用的统计分类模型，以确定视频是否包含特定类中的内容，例如不适当的内容。

15. 发明授权

US08467607B1 Segmentation-based feature pooling for object models 有权
标题翻译：对象模型的基于分段的特征池
公开(公告)号：US08467607B1
公开(公告)日：2013-06-18
申请号：US13301621
申请日：2011-11-21
申请人： Alexander T. Toshev , Jay Yagnik , Vivek Kwatra
发明人： Alexander T. Toshev , Jay Yagnik , Vivek Kwatra
IPC分类号： G06T7/0081
CPC分类号： G06K9/4642
摘要： Methods and systems for processing an image to create an object model are disclosed. In accordance with one embodiment, each segment of the image is assigned to a respective bin of a bounding box. For each bin of the bounding box, the value of a feature for the bin is computed based on the values of that feature for each of the segments assigned to the bin. An object model is then created based on the values of the feature for the bin.
摘要翻译：公开了用于处理图像以创建对象模型的方法和系统。根据一个实施例，图像的每个段被分配给边界框的相应仓。对于边界框的每个仓，根据分配给仓的每个段的该特征的值来计算仓的特征值。然后基于bin的特征值创建对象模型。

16. 发明申请

US20130108177A1 IMAGE MATCHING USING MOTION MANIFOLDS 有权
标题翻译：使用运动图像的图像匹配
公开(公告)号：US20130108177A1
公开(公告)日：2013-05-02
申请号：US13346662
申请日：2012-01-09
申请人： RAHUL SUKTHANKAR , JAY YAGNIK
发明人： RAHUL SUKTHANKAR , JAY YAGNIK
IPC分类号： G06K9/68
CPC分类号： G06K9/00758 , G06K9/6215 , G06K9/68 , G06T7/248 , G06T2207/30201 , G06T2207/30241
摘要： A motion manifold system analyzes a set of videos, identifying image patches within those videos corresponding to regions of interest and identifying patch trajectories by tracking the movement of the regions over time in the videos. Based on the patch identification and tracking, the system produces a motion manifold data structure that captures the way in which the same semantic region can have different visual representations over time. The motion manifold can then be applied to determine the semantic similarity between different patches, or between higher-level constructs such as images or video segments, including detecting semantic similarity between patches or other constructs that are visually dissimilar.
摘要翻译：运动歧管系统分析一组视频，识别与感兴趣区域相对应的那些视频内的图像补丁，并通过跟踪视频中随时间推移的区域的移动来识别斑块轨迹。基于补丁识别和跟踪，系统产生运动歧管数据结构，其捕获相同语义区域随时间具有不同视觉表示的方式。然后可以应用运动歧管以确定不同补丁之间的语义相似性，或者在诸如图像或视频段的更高级别的构造之间，包括检测补丁或视觉上相似的其他构造之间的语义相似性。

17. 发明授权

US08209270B2 Supervised learning with multi-scale time intervals using a statistical classification model to classify unlabeled events 有权
标题翻译：使用统计分类模型对多标度时间间隔进行监督学习，对未标记的事件进行分类
公开(公告)号：US08209270B2
公开(公告)日：2012-06-26
申请号：US13195755
申请日：2011-08-01
申请人： Ullas Gargi , Jay Yagnik
发明人： Ullas Gargi , Jay Yagnik
IPC分类号： G06F11/00
CPC分类号： G06K9/00523
摘要： A method, a system and a computer program product generate a statistical classification model used by a computer system to determine a class associated with an unlabeled time series event.
摘要翻译：方法，系统和计算机程序产品生成计算机系统使用的统计分类模型来确定与未标记的时间序列事件相关联的类别。

18. 发明申请

US20110289033A1 Supervised Learning with Multi-Scale Time Intervals Using a Statistical Classification Model to Classify Unlabeled Events 有权
标题翻译：使用统计分类模型对未标记事件进行分类的多尺度时间间隔的监督学习
公开(公告)号：US20110289033A1
公开(公告)日：2011-11-24
申请号：US13195755
申请日：2011-08-01
申请人： Ullas Gargi , Jay Yagnik
发明人： Ullas Gargi , Jay Yagnik
IPC分类号： G06F15/18
CPC分类号： G06K9/00523
摘要： A method, a system and a computer program product generate a statistical classification model used by a computer system to determine a class associated with an unlabeled time series event.
摘要翻译：方法，系统和计算机程序产品生成计算机系统使用的统计分类模型来确定与未标记的时间序列事件相关联的类别。

19. 发明授权

US09373040B2 Image matching using motion manifolds 有权
标题翻译：使用运动歧管的图像匹配
公开(公告)号：US09373040B2
公开(公告)日：2016-06-21
申请号：US13346662
申请日：2012-01-09
申请人： Rahul Sukthankar , Jay Yagnik
发明人： Rahul Sukthankar , Jay Yagnik
IPC分类号： G06K9/00 , G06K9/68 , G06K9/62 , G06T7/20
CPC分类号： G06K9/00758 , G06K9/6215 , G06K9/68 , G06T7/248 , G06T2207/30201 , G06T2207/30241
摘要： A motion manifold system analyzes a set of videos, identifying image patches within those videos corresponding to regions of interest and identifying patch trajectories by tracking the movement of the regions over time in the videos. Based on the patch identification and tracking, the system produces a motion manifold data structure that captures the way in which the same semantic region can have different visual representations over time. The motion manifold can then be applied to determine the semantic similarity between different patches, or between higher-level constructs such as images or video segments, including detecting semantic similarity between patches or other constructs that are visually dissimilar.
摘要翻译：运动歧管系统分析一组视频，识别与感兴趣区域相对应的那些视频内的图像补丁，并通过跟踪视频中随时间推移的区域的移动来识别斑块轨迹。基于补丁识别和跟踪，系统产生运动歧管数据结构，其捕获相同语义区域随时间具有不同视觉表示的方式。然后可以应用运动歧管以确定不同补丁之间的语义相似性，或者在诸如图像或视频段的更高级别的构造之间，包括检测补丁或视觉上相似的其他构造之间的语义相似性。

20. 发明授权

US09008356B1 Perceptually-driven representation for object recognition 有权
标题翻译：感知驱动的对象识别表示
公开(公告)号：US09008356B1
公开(公告)日：2015-04-14
申请号：US13301623
申请日：2011-11-21
申请人： Alexander T. Toshev , Jay Yagnik , Vivek Kwatra
发明人： Alexander T. Toshev , Jay Yagnik , Vivek Kwatra
IPC分类号： G06K9/00 , G06K9/48 , G06T7/20
CPC分类号： G06T7/20 , G06K9/468 , G06K9/6211 , G06K9/6878
摘要： Methods and systems for processing an image to facilitate automated object recognition are disclosed. More particularly, an image is processed based on a perceptual grouping for the image (e.g., derived via segmentation, derived via contour detection, etc.) and a geometric-configuration model for the image (e.g., a bounding box model, a constellation, a k-fan, etc.).
摘要翻译：公开了用于处理图像以促进自动对象识别的方法和系统。更具体地，基于用于图像的感知分组（例如，通过经由轮廓检测等得到的分割导出）和图像的几何配置模型（例如，边界框模型，星座图， k风扇等）。

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