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    • 5. 发明授权
    • System and method for providing sponsored applications in email
    • 用于在电子邮件中提供赞助的应用程序的系统和方法
    • US09111291B2
    • 2015-08-18
    • US13526693
    • 2012-06-19
    • Ronny LempelYoelle Maarek SmadjaEdward BortnikovEdo Liberty
    • Ronny LempelYoelle Maarek SmadjaEdward BortnikovEdo Liberty
    • G06Q30/02
    • G06Q30/02G06Q30/0241G06Q30/0251G06Q30/0276
    • A method and system for providing targeted applications within an electronic message interface. The method comprises retrieving content from a user's electronic message in the electronic message interface, parsing and interpreting the user's context from the content, and accepting bidding on the user's interpreted context from one or more applications, the one or more applications including triggering conditions related to the user's interpreted context. The one or more applications are ranked based on the bidding. The method further comprises loading the one or more applications into the electronic message interface based on the ranking, and providing one or more follow-up transactions associated with the one or more loaded applications based on the user's interpreted context.
    • 一种用于在电子消息界面内提供目标应用的方法和系统。 该方法包括从电子消息接口中的用户的电子消息中检索内容,从内容解析和解释用户的上下文,以及从一个或多个应用接受用户的解释上下文的出价,所述一个或多个应用包括与 用户的解释上下文。 一个或多个应用程序基于出价进行排名。 该方法还包括基于排名将一个或多个应用加载到电子消息接口中,并且基于用户的解释上下文提供与一个或多个加载的应用相关联的一个或多个后续事务。
    • 7. 发明申请
    • AUTOMATIC FACE ANNOTATION OF IMAGES CONTAINED IN MEDIA CONTENT
    • 包含在媒体内容中的图像的自动表面归纳
    • US20130218858A1
    • 2013-08-22
    • US13398678
    • 2012-02-16
    • Dmitri PerelmanEdward BortnikovRonny LempelRoman Sandler
    • Dmitri PerelmanEdward BortnikovRonny LempelRoman Sandler
    • G06F17/30
    • G06F17/30268G06F17/30867
    • Face-containing images within web pages are automatically annotated to identify the people having those faces. The annotation is based on faces detected in the images and named entities detected in text associated with the images. Each candidate named entity may be scored by the prominence of the named entity in the text relative to the other extracted named entities. Queries are sent to a search engine based on the extracted candidate named entities. Sample images are returned. Face similarity calculations may be computed based on the featured faces and sample faces detected in the search engine-returned sample images to associate a probability score between each featured face and each candidate named entity. A bipartite matching instance may be solved to arrive at a maximum likelihood assignment of named entities to featured faces.
    • 自动注释网页中含有人脸的图像,以识别具有这些脸部的人物。 该注释基于在与图像相关联的文本中检测到的图像和命名实体中检测到的面部。 每个候选命名实体可以通过命名实体在文本中相对于其他提取的命名实体的突出来得分。 基于提取的候选名称实体将查询发送到搜索引擎。 示例图像被返回。 可以基于在搜索引擎返回的样本图像中检测到的特征面和样本面来计算面部相似度计算,以将每个特征面和每个候选命名实体之间的概率分数相关联。 可以解决一个二分配匹配实例,以将命名实体的最大似然分配达到特征面。
    • 9. 发明授权
    • Automatic face annotation of images contained in media content
    • 媒体内容中包含的图像的自动面部注释
    • US08676814B2
    • 2014-03-18
    • US13398678
    • 2012-02-16
    • Dmitri PerelmanEdward BortnikovRonny LempelRoman Sandler
    • Dmitri PerelmanEdward BortnikovRonny LempelRoman Sandler
    • G06F7/00
    • G06F17/30268G06F17/30867
    • Face-containing images within web pages are automatically annotated to identify the people having those faces. The annotation is based on faces detected in the images and named entities detected in text associated with the images. Each candidate named entity may be scored by the prominence of the named entity in the text relative to the other extracted named entities. Queries are sent to a search engine based on the extracted candidate named entities. Sample images are returned. Face similarity calculations may be computed based on the featured faces and sample faces detected in the search engine-returned sample images to associate a probability score between each featured face and each candidate named entity. A bipartite matching instance may be solved to arrive at a maximum likelihood assignment of named entities to featured faces.
    • 自动注释网页中含有人脸的图像,以识别具有这些脸部的人物。 该注释基于在与图像相关联的文本中检测到的图像和命名实体中检测到的面部。 每个候选命名实体可以通过命名实体在文本中相对于其他提取的命名实体的突出来得分。 基于提取的候选名称实体将查询发送到搜索引擎。 示例图像被返回。 可以基于在搜索引擎返回的样本图像中检测到的特征面和样本面来计算面部相似度计算,以将每个特征面和每个候选命名实体之间的概率分数相关联。 可以解决一个二分配匹配实例,以将命名实体的最大似然分配达到特征面。