专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

WO2013075324A1 IMAGE ATTRACTIVENESS BASED INDEXING AND SEARCHING 审中-公开
标题翻译：基于图像引导的索引和搜索
公开(公告)号：WO2013075324A1
公开(公告)日：2013-05-30
申请号：PCT/CN2011/082909
申请日：2011-11-25
申请人： MICROSOFT CORPORATION , YANG, Linjun , GENG, Bo , HUA, Xian-Sheng , LI, Shipeng
发明人： YANG, Linjun , GENG, Bo , HUA, Xian-Sheng , LI, Shipeng
IPC分类号： G06F17/30
CPC分类号： G06F17/30268 , G06F17/30247 , G06F17/30321 , G06F17/30554 , G06F17/30867
摘要： Attractiveness of an image may be estimated by integrating extracted visual features with contextual cues pertaining to the image. Image attractiveness may be defined by the visual features (e.g., perceptual quality, aesthetic sensitivity, and/or affective tone) of elements contained within the image. Images may be indexed based on the estimated attractiveness, search results may be presented based on image attractiveness, and/or a user may elect, after receiving image search results, to re-rank the image search results by attractiveness.
摘要翻译：图像的吸引力可以通过将提取的视觉特征与与图像相关联的上下文提示集成来估计。图像吸引力可以由图像中包含的元素的视觉特征（例如，感知质量，美学敏感度和/或情感色调）来定义。图像可以基于估计的吸引力被索引，搜索结果可以基于图像吸引力来呈现，和/或用户可以在接收图像搜索结果之后选择通过吸引力重新排列图像搜索结果。

2. 发明申请

WO2013075272A1 PROTOTYPE-BASED RE-RANKING OF SEARCH RESULTS 审中-公开
标题翻译：基于原型的搜索结果重新排序
公开(公告)号：WO2013075272A1
公开(公告)日：2013-05-30
申请号：PCT/CN2011/082507
申请日：2011-11-21
申请人： MICROSOFT CORPORATION , YANG, Linjun
发明人： YANG, Linjun
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , G06F17/30244 , G06F17/30247 , G06F17/30265
摘要： A prototype-based re-ranking method may re-rank search results to provide a re-ranked set of search results. In response to receiving one or more queries, a set of search results may be generated whereby each of the search results may be associated with a rank position. Based at least in part on the search results, one or more prototypes may be generated that visually represent the one or more queries or the search results. The one or more prototypes may be used to construct one or more meta re-rankers that may generate re-ranking scores for the search results. The re- ranking scores may be aggregated to produce a final relevance score for each search result included in the set of search results. Based at least in part on the relevance score of each search result and/or a learned re-ranking model, a set of re-ranked search results may be provided.
摘要翻译：基于原型的重新排序方法可以重新排列搜索结果以提供重新排列的搜索结果集合。响应于接收一个或多个查询，可以生成一组搜索结果，其中每个搜索结果可以与等级位置相关联。至少部分地基于搜索结果，可以生成可视地表示一个或多个查询或搜索结果的一个或多个原型。一个或多个原型可以用于构造一个或多个可以为搜索结果生成重新排序得分的元重新排序者。重新分数可以被聚合以产生包括在搜索结果集合中的每个搜索结果的最终相关性得分。至少部分地基于每个搜索结果和/或学习的排序模型的相关性得分，可以提供一组重新排序的搜索结果。

3. 发明申请

WO2009039046A2 ADVERTISMENT INSERTION POINTS DETECTION FOR ONLINE VIDEO ADVERTISING 审中-公开
标题翻译：广告插播点检测在线视频广告
公开(公告)号：WO2009039046A2
公开(公告)日：2009-03-26
申请号：PCT/US2008/076330
申请日：2008-09-13
申请人： MICROSOFT CORPORATION
发明人： HUA, Xian-sheng , MEI, Tao , YANG, Linjun , LI, Shipeng
IPC分类号： G06Q30/00 , H04N7/08
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：描述了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为多个镜头。多个镜头包括一个或多个镜头边界。该方法然后通过平衡每个镜头边界的不连续性度量和吸引力度量来确定一个或多个插入点。

4. 发明申请

WO2009006234A3 AUTOMATIC VIDEO RECOMMENDATION 审中-公开
公开(公告)号：WO2009006234A3
公开(公告)日：2009-01-08
申请号：PCT/US2008/068441
申请日：2008-06-26
申请人： MICROSOFT CORPORATION
发明人： MEI, Tao , HUA, Xian-Sheng , YANG, Bo , YANG, Linjun , LI, Shipeng
IPC分类号： H04N7/173 , G06F17/00 , H04N7/00
摘要： Automatic video recommendation is described. The recommendation does not require an existing user profile. The source videos are directly compared to a user selected video to determine relevance, which is then used as a basis for video recommendation. The comparison is performed with respect to a weighted feature set including at least one content-based feature, such as a visual feature, an aural feature and a content-derived textural feature. Multimodal implementation including multimodal features (e.g., visual, aural and textural) extracted from the videos is used for more reliable relevance ranking. One embodiment uses an indirect textural feature generated by automatic text categorization based on a set of predefined category hierarchy. Another embodiment uses self-learning based on user click-through history to improve relevance ranking.

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式