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1. 发明授权

US09443147B2 Enriching online videos by content detection, searching, and information aggregation 有权
标题翻译：通过内容检测，搜索和信息聚合丰富在线视频
公开(公告)号：US09443147B2
公开(公告)日：2016-09-13
申请号：US12767114
申请日：2010-04-26
申请人： Tao Mei , Xian-Sheng Hua , Shipeng Li
发明人： Tao Mei , Xian-Sheng Hua , Shipeng Li
IPC分类号： G06K9/00 , H04N21/462 , H04N21/4722 , G06F17/30 , G06Q30/02
CPC分类号： G06K9/00751 , G06F17/30017 , G06F17/30828 , G06K9/00765 , G06Q30/02 , H04N21/4622 , H04N21/4722
摘要： Many internet users consume content through online videos. For example, users may view movies, television shows, music videos, and/or homemade videos. It may be advantageous to provide additional information to users consuming the online videos. Unfortunately, many current techniques may be unable to provide additional information relevant to the online videos from outside sources. Accordingly, one or more systems and/or techniques for determining a set of additional information relevant to an online video are disclosed herein. In particular, visual, textual, audio, and/or other features may be extracted from an online video (e.g., original content of the online video and/or embedded advertisements). Using the extracted features, additional information (e.g., images, advertisements, etc.) may be determined based upon matching the extracted features with content of a database. The additional information may be presented to a user consuming the online video.
摘要翻译：许多互联网用户通过在线视频消费内容。例如，用户可以观看电影，电视节目，音乐视频和/或自制视频。向消费在线视频的用户提供附加信息可能是有利的。不幸的是，许多当前的技术可能无法提供与来自外部来源的在线视频相关的附加信息。因此，本文公开了用于确定与在线视频相关的一组附加信息的一个或多个系统和/或技术。特别地，可以从在线视频（例如，在线视频和/或嵌入式广告的原始内容）提取视觉，文本，音频和/或其他特征。使用所提取的特征，可以基于将提取的特征与数据库的内容相匹配来确定附加信息（例如，图像，广告等）。附加信息可以被呈现给使用在线视频的用户。

2. 发明授权

US08873845B2 Contextual dominant color name extraction 有权
标题翻译：语境主要颜色名称提取
公开(公告)号：US08873845B2
公开(公告)日：2014-10-28
申请号：US13569333
申请日：2012-08-08
申请人： Jingdong Wang , Zhong Wu , Xian-Sheng Hua , Shipeng Li , Peng Wang
发明人： Jingdong Wang , Zhong Wu , Xian-Sheng Hua , Shipeng Li , Peng Wang
IPC分类号： G06K9/00 , G06K9/34
CPC分类号： G06F17/3025
摘要： Dominant color names may be extracted from an image by analyzing spatial-context of pixels contained in the image. A dominant color region may be defined by taking a double-threshold approach that addresses ambiguous color regions and a degree of confidence that each pixel belongs in the dominant color region. Affiliation maps and binary maps may be used to generate the dominant color region. Images may be converted to a saliency map, from which a region of interest may be assigned a dominant color name. Image search results may be filtered by the dominant color name associated with the image.
摘要翻译：可以通过分析包含在图像中的像素的空间上下文从图像中提取主色颜色名称。主色区域可以通过采用双阈值方法来定义，所述双阈值方法解决不确定的颜色区域和每个像素属于主色区域的置信度。可以使用隶属关系图和二进制图来生成主色区域。图像可以转换为显着图，可以从其中将感兴趣区域分配为主要颜色名称。图像搜索结果可能会被与图像相关联的主要颜色名称过滤。

3. 发明授权

US08654255B2 Advertisement insertion points detection for online video advertising 有权
标题翻译：广告插入点检测在线视频广告
公开(公告)号：US08654255B2
公开(公告)日：2014-02-18
申请号：US11858628
申请日：2007-09-20
申请人： Xian-Sheng Hua , Tao Mei , Linjun Yang , Shipeng Li
发明人： Xian-Sheng Hua , Tao Mei , Linjun Yang , Shipeng Li
IPC分类号： H04N9/74
CPC分类号： G11B27/28 , G11B27/036 , H04N21/2365 , H04N21/4347 , H04N21/812 , H04N21/8456 , H04N21/854
摘要： Systems and methods for determining insertion points in a first video stream are described. The insertions points being configured for inserting at least one second video into the first video. In accordance with one embodiment, a method for determining the insertion points includes parsing the first video into a plurality of shots. The plurality of shots includes one or more shot boundaries. The method then determines one or more insertion points by balancing a discontinuity metric and an attractiveness metric of each shot boundary.
摘要翻译：描述用于确定第一视频流中的插入点的系统和方法。插入点被配置用于将至少一个第二视频插入到第一视频中。根据一个实施例，用于确定插入点的方法包括将第一视频解析成多个镜头。多个镜头包括一个或多个镜头边界。然后，该方法通过平衡不连续度量和每个镜头边界的吸引度度量来确定一个或多个插入点。

4. 发明授权

US08369656B2 Interactively ranking image search results using color layout relevance 有权
公开(公告)号：US08369656B2
公开(公告)日：2013-02-05
申请号：US12341953
申请日：2008-12-22
申请人： Jingdong Wang , Shipeng Li , Xian-Sheng Hua , Yinghai Zhao
发明人： Jingdong Wang , Shipeng Li , Xian-Sheng Hua , Yinghai Zhao
IPC分类号： G06K9/60
摘要： This disclosure describes various exemplary user interfaces, methods, and computer program products for the interactively ranking image search results refinement method using a color layout. The method includes receiving a text query for an image search, presenting image search results in a structured presentation based on the text query and information from an interest color layout. The process creates image search results that may be selected by the user based on color selection palettes or color layout specification schemes. Then the process ranks the image search results by sorting the results according to similarity scores between color layouts from the image search results and the interest color layout from a user based on the color selection palettes and the color layout specification schemes.

5. 发明授权

US08218859B2 Transductive multi-label learning for video concept detection 有权
标题翻译：用于视频概念检测的转换多标签学习
公开(公告)号：US08218859B2
公开(公告)日：2012-07-10
申请号：US12329293
申请日：2008-12-05
申请人： Jingdong Wang , Shipeng Li , Xian-Sheng Hua , Yinghai Zhao
发明人： Jingdong Wang , Shipeng Li , Xian-Sheng Hua , Yinghai Zhao
IPC分类号： G06K9/62 , G06K9/00
CPC分类号： G06K9/00718 , G06K9/6297
摘要： This disclosure describes various exemplary method and computer program products for transductive multi-label classification in detecting video concepts for information retrieval. This disclosure describes utilizing a hidden Markov random field formulation to detect labels for concepts in a video content and modeling a multi-label interdependence between the labels by a pairwise Markov random field. The process groups the labels into several parts to speed up a labeling inference and calculates a conditional probability score for the labels, the conditional probability scores are ordered for ranking in a video retrieval evaluation.
摘要翻译：本公开描述了用于检测用于信息检索的视频概念的用于转换多标签分类的各种示例性方法和计算机程序产品。本公开描述了利用隐马尔科夫随机场公式来检测视频内容中的概念的标签，并通过成对的马尔可夫随机场对标签之间的多标签相互依赖进行建模。该过程将标签分组成几个部分，以加快标签推理，并计算标签的条件概率分数，条件概率分数被排序用于视频检索评估中的排名。

6. 发明申请

US20110267544A1 NEAR-LOSSLESS VIDEO SUMMARIZATION 有权
标题翻译：近无障碍视频总结
公开(公告)号：US20110267544A1
公开(公告)日：2011-11-03
申请号：US12768769
申请日：2010-04-28
申请人： Tao Mei , Xian-Sheng Hua , Shipeng Li , Lin-Xie Tang
发明人： Tao Mei , Xian-Sheng Hua , Shipeng Li , Lin-Xie Tang
IPC分类号： H04N5/14
CPC分类号： H04N5/144 , G06K9/00751 , G11B27/034 , G11B27/105 , G11B27/28 , H04N19/159 , H04N19/25 , H04N19/61 , H04N21/816 , H04N21/84 , H04N21/8453 , H04N21/8455 , H04N21/8456 , H04N21/8549
摘要： Described is perceptually near-lossless video summarization for use in maintaining video summaries, which operates to substantially reconstruct an original video in a generally perceptually near-lossless manner. A video stream is summarized with little information loss by using a relatively very small piece of summary metadata. The summary metadata comprises an image set of synthesized mosaics and representative keyframes, audio data, and the metadata about video structure and motion. In one implementation, the metadata is computed and maintained (e.g., as a file) to summarize a relatively large video sequence, by segmenting a video shot into subshots, and selecting keyframes and mosaics based upon motion data corresponding to those subshots. The motion data is maintained as a semantic description associated with the image set. To reconstruct the video, the metadata is processed, including simulating motion using the image set and the semantic description, which recovers the audiovisual content without any significant information loss.
摘要翻译：描述的是用于维护视频摘要的感知上的近无损视频摘要，其操作以基本上以感知方式近无损的方式基本上重建原始视频。通过使用相对非常小的汇总元数据，视频流总结了很少的信息丢失。摘要元数据包括合成马赛克的图像集和代表性的关键帧，音频数据以及关于视频结构和运动的元数据。在一个实施方式中，通过将视频拍摄分割为子照片，并且基于与这些子图片相对应的运动数据来选择关键帧和马赛克，计算和维护元数据（例如，作为文件）来总结相对较大的视频序列。运动数据被保持为与图像集相关联的语义描述。为了重建视频，处理元数据，包括使用图像集和语义描述来模拟运动，其恢复视听内容，而没有任何显着的信息丢失。

7. 发明申请

US20110264700A1 ENRICHING ONLINE VIDEOS BY CONTENT DETECTION, SEARCHING, AND INFORMATION AGGREGATION 有权
标题翻译：通过内容检测，搜索和信息聚合增强在线视频
公开(公告)号：US20110264700A1
公开(公告)日：2011-10-27
申请号：US12767114
申请日：2010-04-26
申请人： Tao Mei , Xian-Sheng Hua , Shipeng Li
发明人： Tao Mei , Xian-Sheng Hua , Shipeng Li
IPC分类号： G06F3/01 , G06K9/00 , G06F17/30 , G06K9/18
CPC分类号： G06K9/00751 , G06F17/30017 , G06F17/30828 , G06K9/00765 , G06Q30/02 , H04N21/4622 , H04N21/4722
摘要： Many internet users consume content through online videos. For example, users may view movies, television shows, music videos, and/or homemade videos. It may be advantageous to provide additional information to users consuming the online videos. Unfortunately, many current techniques may be unable to provide additional information relevant to the online videos from outside sources. Accordingly, one or more systems and/or techniques for determining a set of additional information relevant to an online video are disclosed herein. In particular, visual, textual, audio, and/or other features may be extracted from an online video (e.g., original content of the online video and/or embedded advertisements). Using the extracted features, additional information (e.g., images, advertisements, etc.) may be determined based upon matching the extracted features with content of a database. The additional information may be presented to a user consuming the online video.
摘要翻译：许多互联网用户通过在线视频消费内容。例如，用户可以观看电影，电视节目，音乐视频和/或自制视频。向消费在线视频的用户提供附加信息可能是有利的。不幸的是，许多当前的技术可能无法提供与来自外部来源的在线视频相关的附加信息。因此，本文公开了用于确定与在线视频相关的一组附加信息的一个或多个系统和/或技术。特别地，可以从在线视频（例如，在线视频和/或嵌入式广告的原始内容）提取视觉，文本，音频和/或其他特征。使用所提取的特征，可以基于将提取的特征与数据库的内容相匹配来确定附加信息（例如，图像，广告等）。附加信息可以被呈现给使用在线视频的用户。

8. 发明申请

US20110191336A1 CONTEXTUAL IMAGE SEARCH 审中-公开
标题翻译：背景图像搜索
公开(公告)号：US20110191336A1
公开(公告)日：2011-08-04
申请号：US12696591
申请日：2010-01-29
申请人： Jingdong Wang , Xian-Sheng Hua , Shipeng Li , Hao Xu
发明人： Jingdong Wang , Xian-Sheng Hua , Shipeng Li , Hao Xu
IPC分类号： G06F17/30
CPC分类号： G06F16/00
摘要： Techniques for image search using contextual information related to a user query are described. A user query including at least one of textual data or image data from a collection of data displayed by a computing device is received from a user. At least one other subset of data selected from the collection of data is received as contextual information that is related to and different from the user query. Data files such as image files are retrieved and ranked based on the user query to provide a pre-ranked set of data files. The pre-ranked data files are then ranked based on the contextual information to provide a re-ranked set of data files to be displayed to the user.
摘要翻译：描述使用与用户查询相关的上下文信息进行图像搜索的技术。从用户接收包括来自计算设备显示的数据集合的文本数据或图像数据中的至少一个的用户查询。作为与用户查询相关并且不同于用户查询的上下文信息，接收到从数据收集中选出的至少一个其他数据子集。基于用户查询来检索和排序诸如图像文件的数据文件，以提供预先排列的数据文件集合。然后基于上下文信息对预先排序的数据文件进行排名，以提供要向用户显示的重新排列的数据文件集合。

9. 发明授权

US07840898B2 Video booklet 有权
标题翻译：视频小册子
公开(公告)号：US07840898B2
公开(公告)日：2010-11-23
申请号：US11264357
申请日：2005-11-01
申请人： Xian-Sheng Hua , Shipeng Li , Cai-Zhi Zhu
发明人： Xian-Sheng Hua , Shipeng Li , Cai-Zhi Zhu
IPC分类号： G06F3/00 , G06F3/048
CPC分类号： G06F17/30825 , G06F17/30843 , G06F17/30852 , G06K9/00711 , G11B27/105 , G11B27/11 , G11B27/329
摘要： Systems and methods are described for creating a video booklet that allows browsing and search of a video library. In one implementation, each video in the video library is divided into segments. Each segment is represented by a thumbnail image. Signatures of the representative thumbnails are extracted and stored in a database. The thumbnail images are then printed into an artistic paper booklet. A user can photograph one of the thumbnails in the paper booklet to automatically play the video segment corresponding to the thumbnail. Active shape modeling is used to identify and restore the photo information to the form of a thumbnail image from which a signature can be extracted for comparison with the database.
摘要翻译：描述了用于创建允许浏览和搜索视频库的视频小册子的系统和方法。在一个实现中，视频库中的每个视频被分成多个段。每个片段由缩略图形式表示。代表性缩略图的签名被提取并存储在数据库中。然后将缩略图图像打印到艺术纸小册子中。用户可以拍摄纸小册子中的一个缩略图，以自动播放与缩略图对应的视频段。主动形状建模用于将照片信息识别并恢复为缩略图的形式，从中可以提取签名以与数据库进行比较。

10. 发明申请

US20090310854A1 Multi-Label Multi-Instance Learning for Image Classification 有权
标题翻译：图像分类的多标签多实例学习
公开(公告)号：US20090310854A1
公开(公告)日：2009-12-17
申请号：US12140247
申请日：2008-06-16
申请人： Tao Mei , Xian-Sheng Hua , Shipeng Li , Zheng-Jun Zha
发明人： Tao Mei , Xian-Sheng Hua , Shipeng Li , Zheng-Jun Zha
IPC分类号： G06K9/62
CPC分类号： G06K9/4638 , G06K9/342
摘要： Described is a technology by which an image is classified (e.g., grouped and/or labeled), based on multi-label multi-instance data learning-based classification according to semantic labels and regions. An image is processed in an integrated framework into multi-label multi-instance data, including region and image labels. The framework determines local association data based on each region of an image. Other multi-label multi-instance data is based on relationships between region labels of the image, relationships between image labels of the image, and relationships between the region and image labels. These data are combined to classify the image. Training is also described.
摘要翻译：基于根据语义标签和区域的基于多标签多实例数据学习的分类，描述了图像被分类（例如，分组和/或标记）的技术。图像在集成框架中被处理成多标签多实例数据，包括区域和图像标签。该框架基于图像的每个区域确定局部关联数据。其他多标签多实例数据基于图像的区域标签之间的关系，图像的图像标签之间的关系以及区域和图像标签之间的关系。组合这些数据以对图像进行分类。培训也被描述。

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