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    • 4. 发明授权
    • Video concept detection using multi-layer multi-instance learning
    • 使用多层多实例学习的视频概念检测
    • US08804005B2
    • 2014-08-12
    • US12111202
    • 2008-04-29
    • Tao MeiXian-Sheng HuaShipeng LiZhiwei Gu
    • Tao MeiXian-Sheng HuaShipeng LiZhiwei Gu
    • G06K9/62G06K9/34
    • G11B27/28G06K9/00711G06K9/6282
    • Visual concepts contained within a video clip are classified based upon a set of target concepts. The clip is segmented into shots and a multi-layer multi-instance (MLMI) structured metadata representation of each shot is constructed. A set of pre-generated trained models of the target concepts is validated using a set of training shots. An MLMI kernel is recursively generated which models the MLMI structured metadata representation of each shot by comparing prescribed pairs of shots. The MLMI kernel is subsequently utilized to generate a learned objective decision function which learns a classifier for determining if a particular shot (that is not in the set of training shots) contains instances of the target concepts. A regularization framework can also be utilized in conjunction with the MLMI kernel to generate modified learned objective decision functions. The regularization framework introduces explicit constraints which serve to maximize the precision of the classifier.
    • 视频剪辑中包含的视觉概念基于一组目标概念进行分类。 剪辑被分割成镜头,并且构建每个镜头的多层多实例(MLMI)结构化元数据表示。 使用一组训练镜头验证了一组预先生成的目标概念训练模型。 通过比较规定的拍摄对,递归地生成MLMI内核,以对每个镜头的MLMI结构化元数据表示进行建模。 MLMI内核随后被用于生成学习的客观决策函数,该函数学习用于确定特定镜头(不在该组训练镜头中)是否包含目标概念的实例的分类器。 正则化框架也可以与MLMI内核一起使用,以生成修改后的学习目标决策函数。 正则化框架引入明确的约束,用于最大化分类器的精度。
    • 5. 发明申请
    • Cooperative Web Browsing Using Multiple Devices
    • 使用多个设备的合作网页浏览
    • US20140053054A1
    • 2014-02-20
    • US13585185
    • 2012-08-14
    • Huifeng ShenShipeng LiYan LuZhaotai PanJianfeng Wang
    • Huifeng ShenShipeng LiYan LuZhaotai PanJianfeng Wang
    • G06F15/16G06F17/00
    • G06F17/30905
    • A proxy-based thin-client web browsing framework enables cooperative web browsing of multiple devices. The multiple devices may include devices that are not intended for web browsing and have limited or no web browsers and/or user input capabilities. The proxy-based thin client web browsing framework employs a virtual browser at a proxy server to perform all browser-engine logics, and retrieve, render and encode web pages on behalf of the multiple devices. The multiple devices therefore only need to have limited decoding and display capabilities to perform web browsing. The proxy-based thin client web browsing framework further includes a touch controller as a remote controller for a device that has no or limited user texting or manipulating capabilities.
    • 基于代理的瘦客户端Web浏览框架可实现多个设备的协同网页浏览。 多个设备可以包括不用于网页浏览的设备,并且具有有限的或没有web浏览器和/或用户输入能力的设备。 基于代理的瘦客户端Web浏览框架在代理服务器上使用虚拟浏览器来执行所有浏览器引擎逻辑,并且代表多个设备检索,呈现和编码网页。 因此,多个设备仅需要具有有限的解码和显示功能来执行网页浏览。 基于代理的瘦客户机web浏览框架还包括作为用于没有或限制用户发短信或操纵能力的设备的遥控器的触摸控制器。
    • 6. 发明授权
    • Enhancing photo browsing through music and advertising
    • 通过音乐和广告加强照片浏览
    • US08504422B2
    • 2013-08-06
    • US12786020
    • 2010-05-24
    • Tao MeiXian-Sheng HuaShipeng LiJinlian GuoFei Sheng
    • Tao MeiXian-Sheng HuaShipeng LiJinlian GuoFei Sheng
    • G06Q30/00
    • G06F17/30056G06F17/30047G06Q30/02G06Q30/0243
    • Techniques for recommending music and advertising to enhance a user's experience while photo browsing are described. In some instances, songs and ads are ranked for relevance to at least one photo from a photo album. The songs, ads and photo(s) from the photo album are then mapped to a style and mood ontology to obtain vector-based representations. The vector-based representations can include real valued terms, each term associated with a human condition defined by the ontology. A re-ranking process generates a relevancy term for each song and each ad indicating relevancy to the photo album. The relevancy terms can be calculated by summing weighted terms from the ranking and the mapping. Recommended music and ads may then be provided to a user, as the user browses a series of photos obtained from the photo album. The ads may be seamlessly embedded into the music in a nonintrusive manner.
    • 描述用于推荐音乐和广告以提高用户在照相浏览时体验的技术。 在某些情况下,歌曲和广告的排名与相册中的至少一张照片相关。 然后将相册中的歌曲,广告和照片映射到风格和心境本体以获得基于矢量的表示。 基于向量的表示可以包括实际值,每个术语与由本体定义的人类条件相关联。 重新排序过程产生每个歌曲的相关术语,每个广告指示相册的相关性。 可以通过从排名和映射求和加权项来计算相关项。 然后,当用户浏览从相册获得的一系列照片时,推荐的音乐和广告可以被提供给用户。 广告可以无缝地嵌入到音乐中。
    • 7. 发明授权
    • High dynamic range texture compression
    • 高动态范围纹理压缩
    • US08498476B2
    • 2013-07-30
    • US13429208
    • 2012-03-23
    • Yan LuWen SunFeng WuShipeng Li
    • Yan LuWen SunFeng WuShipeng Li
    • G06K9/00
    • G06T9/00
    • A method for compressing a high dynamic range (HDR) texture. A first block of texels of the HDR texture in a red-green-blue (RGB) space may be transformed to a second block of texels in a luminance-chrominance space. The first block may have red values, green values and blue values. The second block may have luminance values and chrominance values. The chrominance values may be based on a sum of the red values, a sum of the green values and a sum of the blue values. The luminance values and the chrominance values may be converted to an 8-bit integer format. The luminance values may be modified to restore a local linearity property to the second block. The second block may be compressed.
    • 一种用于压缩高动态范围(HDR)纹理的方法。 红 - 绿 - 蓝(RGB)空间中的HDR纹理的纹素的第一块可以被变换为亮度 - 色度空间中的第二纹理纹理块。 第一个块可能具有红色值,绿色值和蓝色值。 第二块可以具有亮度值和色度值。 色度值可以基于红色值的总和,绿色值的和与蓝色值的和。 亮度值和色度值可以被转换成8位整数格式。 可以修改亮度值以恢复与第二块的局部线性特性。 第二个块可能被压缩。
    • 8. 发明授权
    • Hybrid neighborhood graph search for scalable visual indexing
    • 混合邻域图搜索可缩放的视觉索引
    • US08370363B2
    • 2013-02-05
    • US13091323
    • 2011-04-21
    • Jingdong WangXian-Sheng HuaShipeng LiJing Wang
    • Jingdong WangXian-Sheng HuaShipeng LiJing Wang
    • G06F17/30
    • G06F17/30979
    • A hybrid search method may be used to identify information responsive to a query. A search may be performed utilizing a neighborhood graph and a partitioning tree. The partitioning tree may be searched to select one or more pivots that may be used to guide a subsequent search in the neighborhood graph. Once the search in the neighborhood graph is unable to identify nearest neighbors in closer proximity to the query, the search may be switched to the partitioning tree. The partitioning tree may then be searched to select pivots that may be used to guide subsequent searches in the neighborhood graph. The searches performed in the partitioning tree and/or the neighborhood graph may be conducted utilizing an iterative algorithm.
    • 可以使用混合搜索方法来识别响应于查询的信息。 可以使用邻域图和分区树来执行搜索。 可以搜索分区树以选择可用于指导邻域图中的后续搜索的一个或多个枢轴。 一旦邻域图中的搜索无法识别更靠近查询的最近邻居,则可以将搜索切换到分区树。 然后可以搜索分区树以选择可用于指导邻域图中的后续搜索的枢轴。 可以使用迭代算法来执行在分区树和/或邻域图中执行的搜索。
    • 9. 发明授权
    • Intelligent overlay for video advertising
    • 视频广告的智能覆盖
    • US08369686B2
    • 2013-02-05
    • US12571373
    • 2009-09-30
    • Tao MeiXian-Sheng HuaShipeng LiJinlian Guo
    • Tao MeiXian-Sheng HuaShipeng LiJinlian Guo
    • H04N9/80
    • H04N21/458G06Q30/02G06Q30/0243G11B27/034G11B27/28H04N21/44008H04N21/440236H04N21/466H04N21/812
    • Video advertising overlay technique embodiments are presented that generally detect a set of spatio-temporal nonintrusive positions within a series of consecutive video frames in shots of a digital video and then overlay contextually relevant ads on these positions. In one general embodiment, this is accomplished by decomposing the video into a series of shots, and then identifying a video advertisement for each of a selected set of the shots. The identified video advertisement is one that is determined to be the most relevant to the content of the shot. An overlay area is also identified in each of the shots, where the selected overlay area is the least intrusive among a plurality of prescribed areas to a viewer of the video. The video advertisements identified for the shots are then respectively scheduled to be overlaid in the identified overlay area of a shot, whenever the shot is played.
    • 提供了视频广告覆盖技术实施例,其通常在数字视频的拍摄中检测一系列连续视频帧内的一组时空非侵入位置,然后在这些位置上重叠相关的相关广告。 在一个一般实施例中,这通过将视频分解成一系列镜头,然后为所选择的一组拍摄中的每一个识别视频广告来实现。 所识别的视频广告是被确定为与拍摄内容最相关的广告。 在每个拍摄中还识别覆盖区域,其中所选覆盖区域在多个规定区域中对于视频的观看者是最小的侵入。 每当拍摄被拍摄时,为拍摄而识别的视频广告然后分别被调度为覆盖在所识别的拍摄的重叠区域中。