会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 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。
    • 2. 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。
    • 3. 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。
    • 4. 发明申请
    • Enhancing Photo Browsing through Music and Advertising
    • 通过音乐和广告增强照片浏览
    • US20110288929A1
    • 2011-11-24
    • US12786020
    • 2010-05-24
    • Tao MeiXian-Sheng HuaShipeng LiJinlian GuoFei Sheng
    • Tao MeiXian-Sheng HuaShipeng LiJinlian GuoFei Sheng
    • G06Q30/00G06F17/30G06Q10/00
    • 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. 发明申请
    • Incentive Selection of Region-of-Interest and Advertisements for Image Advertising
    • 激励选择图像广告领域和广告
    • US20120095825A1
    • 2012-04-19
    • US12906899
    • 2010-10-18
    • Tao MeiXian-Sheng HuaShipeng Li
    • Tao MeiXian-Sheng HuaShipeng Li
    • G06Q30/00
    • G06Q30/0276G06Q30/0244G06Q30/0245
    • Techniques for image selection and region of interest analysis are described herein. A pair of two or more users is configured, and an image is displayed to the pair. The image can be a still image (i.e., a picture) or a moving image (i.e., video). In some instances, a plurality of advertisements is suggested for possible association with the image. Input is received from both users in the pair, indicating a positive or a negative association between each advertisement and the image. When the pair positively rates an advertisement, the advertisement is associated with the image. A plurality of regions of interest within the image may be suggested. In response, positive or negative input is received from the pair indicating whether each of the plurality of regions of interest is appropriately suggested for placement of an advertisement.
    • 本文描述了用于图像选择和感兴趣区域分析的技术。 配置一对两个以上的用户,并且一对图像被显示。 图像可以是静止图像(即,图像)或运动图像(即,视频)。 在一些情况下,建议多个广告以与图像可能的关联。 从该对中的两个用户接收到输入,指示每个广告和图像之间的正或负关联。 当该对对广告进行正比率时,该广告与图像相关联。 可以建议图像内的多个感兴趣区域。 作为响应,从该对接收到正或负输入,指示是否适当地建议多个感兴趣区域中的每一个用于放置广告。
    • 9. 发明申请
    • MULTI-VIDEO SYNTHESIS
    • 多视频合成
    • US20100149419A1
    • 2010-06-17
    • US12334231
    • 2008-12-12
    • Tao MeiXian-Sheng HuaShipeng LiTeng Li
    • Tao MeiXian-Sheng HuaShipeng LiTeng Li
    • H04N9/74
    • G11B27/036
    • Embodiments that provide multi-video synthesis are disclosed. In accordance with one embodiment, multi-video synthesis includes breaking a main video into a plurality of main frames and break a supplementary video into a plurality of supplementary frames. The multi-video synthesis also includes assigning one or more supplementary frames into each of a plurality of states of a Hidden Markov Model (HMM), where each of the plurality of states corresponding to one or more main frames. The multi-video synthesis further includes determining optimal frames in the plurality of main frames for insertion of the plurality of supplementary frames based on the plurality of states and visual properties. The optimal frames include optimal insertion positions. The multi-video synthesis additionally includes inserting the plurality of supplementary frames into the optimal insertion positions to form a synthesized video.
    • 公开了提供多视频合成的实施例。 根据一个实施例,多视频合成包括将主视频分解成多个主帧并将辅助视频分解成多个补充帧。 多视频合成还包括将一个或多个补充帧分配给隐马尔可夫模型(HMM)的多个状态中的每个状态,其中多个状态中的每一个对应于一个或多个主帧。 多视频合成还包括基于多个状态和视觉属性来确定多个主帧中的最佳帧以插入多个补充帧。 最佳帧包括最佳插入位置。 多视频合成还包括将多个辅助帧插入最佳插入位置以形成合成视频。
    • 10. 发明申请
    • MULTI-MODAL RELEVANCY MATCHING
    • 多模式相关匹配
    • US20090076882A1
    • 2009-03-19
    • US11855872
    • 2007-09-14
    • Tao MeiXian-Sheng HuaShipeng Li
    • Tao MeiXian-Sheng HuaShipeng Li
    • G06Q30/00G06F17/10G06F17/30G06F17/40
    • G06Q30/0242G06Q30/02
    • This document describes techniques capable of associating relevant entities, such as advertisements, with insertion points within a media file. These techniques calculate a global relevancy between entities and the media file. These techniques may also calculate a local relevancy between the entities and one or more insertion points within the media file. Both global and local relevancies may employ textual and non-textual information. With use of the calculated global and local relevancies, the techniques associate one or more entities with each of the one or more insertion points in the media file. These techniques thus enable, for each insertion point, associating a most relevant entity for a particular insertion point with the insertion point. Therefore, when a user consumes the media file the user may also consume a most relevant entity at and for each insertion point in the media file.
    • 本文档描述了能够将相关实体(例如广告)与媒体文件中的插入点相关联的技术。 这些技术计算实体和媒体文件之间的全局相关性。 这些技术还可以计算实体与媒体文件中的一个或多个插入点之间的局部相关性。 全球和本地的相关机构都可以使用文本和非文本信息。 使用计算的全局和本地相关性,这些技术将一个或多个实体与媒体文件中的一个或多个插入点中的每一个相关联。 因此,对于每个插入点,这些技术使得将特定插入点的最相关实体与插入点相关联。 因此,当用户消费媒体文件时,用户也可以在媒体文件中的每一个插入点处和消费最相关的实体。