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    • 23. 发明授权
    • In-text embedded advertising
    • 文字内嵌广告
    • US08352321B2
    • 2013-01-08
    • US12334364
    • 2008-12-12
    • Tao MeiXian-Sheng HuaShipeng LiLinjun Yang
    • Tao MeiXian-Sheng HuaShipeng LiLinjun Yang
    • G06Q30/00
    • G06Q30/0251G06F17/27G06F17/3089G06Q30/02G06Q30/0277
    • Computer program products, devices, and methods for generating in-text embedded advertising are described. Embedded advertising is “hidden” or embedded into a message by matching an advertisement to the message and identifying a place in the message to insert the advertisement. For textual messages, statistical analysis of individual sentences is performed to determine where it would be most natural to insert an advertisement. Statistical rules of grammar derived from a language model may be used choose a natural and grammatical place in the sentence for inserting the advertisement. Insertion of the advertisement creates a modified sentence without degrading a meaning of the original sentence, yet also includes the advertisement as a part of a new sentence.
    • 描述了用于生成文本嵌入式广告的计算机程序产品,设备和方法。 嵌入式广告通过将广告与消息进行匹配来隐藏或嵌入到消息中,并且识别消息中的位置以插入广告。 对于文本消息,执行单个句子的统计分析以确定插入广告最为自然的位置。 可以使用从语言模型导出的语法的统计规则,在句子中选择一个自然和语法的地方插入广告。 广告的插入创建一个修改后的句子,而不会降低原始句子的含义,而且还包括广告作为新句子的一部分。
    • 24. 发明授权
    • Multi-video synthesis
    • 多视频综合
    • US08207989B2
    • 2012-06-26
    • 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个状态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。
    • 25. 发明申请
    • MOBILE DEVICE RECOMMENDATIONS
    • 移动设备推荐
    • US20110289015A1
    • 2011-11-24
    • US12784728
    • 2010-05-21
    • Tao MeiYing-Qing XuXian-Sheng HuaShipeng Li
    • Tao MeiYing-Qing XuXian-Sheng HuaShipeng Li
    • G06Q99/00G06F17/30G01S19/42
    • G06Q10/04G06Q30/02G06Q30/0282
    • Users may browse web pages, interact with a plethora of applications, search for new content, and perform a wide variety of other tasks using a mobile device. Unfortunately, useful content may be difficult for a user to locate because of the large amount of content available (e.g. hundreds of thousands of applications within an application store). Accordingly, one or more systems and/or techniques for determining recommendations are disclosed herein. In particular, user input (e.g., text, numbers, etc.) and/or a user profile (e.g., contextual information relating to a user) may be used to determine a user intent. Recommendations may be determined based upon the user intent. For example, a user may input “I am hungry” using a mobile phone having a GPS location of Downtown and a noon timestamp. Using this information, an application allowing the user to make lunch reservations at local restaurants may be provided as a recommendation.
    • 用户可以浏览网页,与许多应用程序交互,搜索新内容,并使用移动设备执行各种其他任务。 不幸的是,由于可用的大量内容(例如,应用程序存储中的数十万个应用程序),用户可能难以找到有用的内容。 因此,本文公开了用于确定建议的一个或多个系统和/或技术。 特别地,可以使用用户输入(例如,文本,数字等)和/或用户简档(例如,与用户有关的上下文信息)来确定用户意图。 可以基于用户意图来确定建议。 例如,用户可以使用具有Downtown的GPS位置和中午时间戳的移动电话来输入“我饿了”。 使用该信息,可以提供允许用户在当地餐馆进行午餐预约的应用程序作为推荐。
    • 27. 发明申请
    • Impressionative Multimedia Advertising
    • 印象多媒体广告
    • US20090171787A1
    • 2009-07-02
    • US12143696
    • 2008-06-20
    • Tao MeiXian-Sheng HuaShipeng Li
    • Tao MeiXian-Sheng HuaShipeng Li
    • G06Q30/00
    • G06Q30/02G06Q30/0273
    • A method for making online adverisement makes an impressionative presentation of an advertisement to a viewer. The impressionative presentation is an impressionized version of an original online source medium such as a photo. The method associates advertisements with the source medium based, at least in part, on calculated ad relevance, and determines one or more viewer iteractive points on the original source medium. The method then presents to the viewer an ad-augmented medium including an impressionized version of the source medium, which has the ability to change the form of impression to a viewer in response to an interactive act conducted by the viewer. The ad-augmented medium may include the associated advertisement content or direct the viewer's attention thereto.
    • 一种用于制作在线广告的方法使得向观众展现广告的印象。 印象深刻的演示文稿是原始在线源媒体(如照片)的印象版。 该方法至少部分地基于计算的广告相关性将广告与源媒体相关联,并且确定原始源媒体上的一个或多个观看者迭代点。 该方法然后向观看者呈现包括源媒体的印象化版本的广告增强媒体,其具有响应于由观看者进行的交互动作而将观看形式改变为观看者的能力。 广告增值媒体可以包括相关联的广告内容或引导观众对其的注意。
    • 29. 发明申请
    • Automatic Video Recommendation
    • 自动视频推荐
    • US20090006368A1
    • 2009-01-01
    • US11771219
    • 2007-06-29
    • Tao MeiXian-Sheng HuaBo YangLinjun YangShipeng Li
    • Tao MeiXian-Sheng HuaBo YangLinjun YangShipeng Li
    • G06F17/30G06F3/00
    • H04N7/17318G06F16/735G06F16/78G06F16/7844G06F16/7847H04N21/466H04N21/4667H04N21/472
    • 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.
    • 描述了自动视频推荐。 该建议不需要现有的用户配置文件。 源视频直接与用户选择的视频进行比较,以确定相关性,然后将其用作视频推荐的基础。 相对于包括至少一个基于内容的特征(例如视觉特征,听觉特征和内容导出的纹理特征)的加权特征集执行比较。 使用从视频提取的包括多模态特征(例如,视觉,听觉和纹理)的多模实现用于更可靠的相关性排名。 一个实施例使用基于一组预定义类别层次的自动文本分类生成的间接纹理特征。 另一个实施例使用基于用户点击历史的自学习来提高相关性排名。