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    • 78. 发明申请
    • NEAR-LOSSLESS VIDEO SUMMARIZATION
    • 近无障碍视频总结
    • US20110267544A1
    • 2011-11-03
    • US12768769
    • 2010-04-28
    • Tao MeiXian-Sheng HuaShipeng LiLin-Xie Tang
    • Tao MeiXian-Sheng HuaShipeng LiLin-Xie Tang
    • H04N5/14
    • H04N5/144G06K9/00751G11B27/034G11B27/105G11B27/28H04N19/159H04N19/25H04N19/61H04N21/816H04N21/84H04N21/8453H04N21/8455H04N21/8456H04N21/8549
    • 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.
    • 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。
    • 79. 发明申请
    • ENRICHING ONLINE VIDEOS BY CONTENT DETECTION, SEARCHING, AND INFORMATION AGGREGATION
    • 通过内容检测,搜索和信息聚合增强在线视频
    • US20110264700A1
    • 2011-10-27
    • US12767114
    • 2010-04-26
    • Tao MeiXian-Sheng HuaShipeng Li
    • Tao MeiXian-Sheng HuaShipeng Li
    • G06F3/01G06K9/00G06F17/30G06K9/18
    • G06K9/00751G06F17/30017G06F17/30828G06K9/00765G06Q30/02H04N21/4622H04N21/4722
    • 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.
    • 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。
    • 80. 发明申请
    • CONTEXTUAL IMAGE SEARCH
    • 背景图像搜索
    • US20110191336A1
    • 2011-08-04
    • US12696591
    • 2010-01-29
    • Jingdong WangXian-Sheng HuaShipeng LiHao Xu
    • Jingdong WangXian-Sheng HuaShipeng LiHao Xu
    • G06F17/30
    • G06F16/00
    • 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.
    • 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。