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    • 1. 发明申请
    • System and Method for Voting on Popular Video Intervals
    • 用于在热门视频间隔上投票的系统和方法
    • US20090199251A1
    • 2009-08-06
    • US12027184
    • 2008-02-06
    • Mihai BadoiuShanmugavelayutham Muthukrishnan
    • Mihai BadoiuShanmugavelayutham Muthukrishnan
    • H04N7/173
    • H04N21/4756G06F17/30867G06Q30/02G06Q30/0278G06Q30/0282H04N21/23109
    • A system and method is provided for identifying popular intervals in online hosted videos. To determine popular intervals associated with a video, a plurality of votes for one or more intervals of the video are collected and organized into a plurality of groups. Each group includes votes for intervals of the video that are similar to each other. A group having the highest number of votes is identified, and a most popular clip of the video is formed based upon the intervals in the group with the highest number of votes. This process can be carried out to determine the groups having the second and third highest number of votes in a single video to form the second and third most popular clips in that video, as well as across numerous videos to identify the most popular clips within different videos.
    • 提供了一种用于识别在线托管视频中流行间隔的系统和方法。 为了确定与视频相关联的流行间隔,将视频的一个或多个间隔的多个投票收集并组织成多个组。 每个组包括对于彼此相似的视频间隔的投票。 识别票数最多的组,并且基于具有最高票数的组中的间隔形成视频的最流行剪辑。 该过程可以进行,以确定在单个视频中具有第二和第三最高票数的组,以形成该视频中的第二和第三最受欢迎的剪辑,以及跨越许多视频以识别不同的最流行的剪辑 视频
    • 5. 发明授权
    • System and method for voting on popular video intervals
    • 对流行视频间隔进行投票的系统和方法
    • US08826320B1
    • 2014-09-02
    • US13438673
    • 2012-04-03
    • Mihai BadoiuShanmugavelayutham Muthukrishnan
    • Mihai BadoiuShanmugavelayutham Muthukrishnan
    • H04N7/173
    • H04N21/4756G06F17/30867G06Q30/02G06Q30/0278G06Q30/0282H04N21/23109
    • A system and method is provided for identifying popular intervals in online hosted videos. To determine popular intervals associated with a video, a plurality of votes for one or more intervals of the video are collected and organized into a plurality of groups. Each group includes votes for intervals of the video that are similar to each other. A group having the highest number of votes is identified, and a most popular clip of the video is formed based upon the intervals in the group with the highest number of votes. This process can be carried out to determine the groups having the second and third highest number of votes in a single video to form the second and third most popular clips in that video, as well as across numerous videos to identify the most popular clips within different videos.
    • 提供了一种用于识别在线托管视频中流行间隔的系统和方法。 为了确定与视频相关联的流行间隔,将视频的一个或多个间隔的多个投票收集并组织成多个组。 每个组包括对于彼此相似的视频间隔的投票。 识别票数最多的组,并且基于具有最高票数的组中的间隔形成视频的最流行剪辑。 该过程可以进行,以确定在单个视频中具有第二和第三最高票数的组,以形成该视频中的第二和第三最受欢迎的剪辑,以及跨越许多视频以识别不同的最流行的剪辑 视频
    • 8. 发明授权
    • System and method for voting on popular video intervals
    • 对流行视频间隔进行投票的系统和方法
    • US08181197B2
    • 2012-05-15
    • US12027184
    • 2008-02-06
    • Mihai BadoiuShanmugavelayutham Muthukrishnan
    • Mihai BadoiuShanmugavelayutham Muthukrishnan
    • H04N7/173
    • H04N21/4756G06F17/30867G06Q30/02G06Q30/0278G06Q30/0282H04N21/23109
    • A system and method is provided for identifying popular intervals in online hosted videos. To determine popular intervals associated with a video, a plurality of votes for one or more intervals of the video are collected and organized into a plurality of groups. Each group includes votes for intervals of the video that are similar to each other. A group having the highest number of votes is identified, and a most popular clip of the video is formed based upon the intervals in the group with the highest number of votes. This process can be carried out to determine the groups having the second and third highest number of votes in a single video to form the second and third most popular clips in that video, as well as across numerous videos to identify the most popular clips within different videos.
    • 提供了一种用于识别在线托管视频中流行间隔的系统和方法。 为了确定与视频相关联的流行间隔,将视频的一个或多个间隔的多个投票收集并组织成多个组。 每个组包括对于彼此相似的视频间隔的投票。 识别票数最多的组,并且基于具有最高票数的组中的间隔形成视频的最流行剪辑。 该过程可以进行,以确定在单个视频中具有第二和第三最高票数的组,以形成该视频中的第二和第三最受欢迎的剪辑,以及跨越许多视频以识别不同的最流行的剪辑 视频
    • 9. 发明授权
    • Ranking location search results based on multiple distance measures
    • 基于多个距离度量的位置搜索结果排名
    • US08898173B1
    • 2014-11-25
    • US12780763
    • 2010-05-14
    • Mihai Badoiu
    • Mihai Badoiu
    • G06F17/30
    • G06F17/3087
    • Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for calculating a location relevance score for search results is disclosed. In one aspect, a location relevance score is calculated for each search result based on three distances to a physical address associated with the search result. The first distance is measured from a polygon approximating the boundary of a specified region of interest. The second distance is measured from a combined area associated with the associated zip codes of the specified region of interest. The third distance is measured from a central location determined according to criteria independent of geometry of the specified region of interest. The search results are ranked according to their associated location relevance scores.
    • 公开了用于计算搜索结果的位置相关性得分的方法,系统和装置,包括在计算机存储介质上编码的计算机程序。 在一个方面,基于与搜索结果相关联的物理地址的三个距离,针对每个搜索结果计算位置相关性得分。 第一距离是从近似于特定感兴趣区域的边界的多边形来测量的。 第二个距离是从与指定感兴趣区域的相关邮政编码相关联的组合区域中测量的。 第三距离是根据独立于指定感兴趣区域的几何形状的标准确定的中心位置测量的。 搜索结果根据其相关的位置相关性分数进行排名。
    • 10. 发明授权
    • Distributed image search
    • 分布式图像搜索
    • US08352494B1
    • 2013-01-08
    • US12632681
    • 2009-12-07
    • Mihai Badoiu
    • Mihai Badoiu
    • G06F7/00
    • G06F17/30277G06F17/30247G06F17/30256G06F17/30327G06F17/30486
    • Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributed nearest-neighbor search for image retrieval are disclosed. An example distributed image retrieval system includes a root server and a plurality of leaf servers. The root server controls the clustering of images in the image corpus, and determines the assignment of image clusters to a collection of leaf servers. Each leaf server is independently configured to perform a two-stage nearest-neighbor search in a locality-sensitive hash space for a received query image within the leaf server's assigned images clusters. Thus, the distributed image retrieval system is modular and amendable to tuning, modifications, duplication, and replacement on a per-server basis. In addition, the design of the image retrieval system allows flexible load balancing among the leaf servers.
    • 公开了包括在计算机存储介质上编码的用于分布式最近邻搜索图像检索的计算机程序的方法,系统和装置。 示例性分布式图像检索系统包括根服务器和多个叶服务器。 根服务器控制图像语料库中图像的聚类,并确定将图像集群分配给叶子服务器的集合。 每个叶子服务器被独立地配置为在叶服务器分配的图像簇内的接收到的查询图像的位置敏感哈希空间中执行两阶段最近邻搜索。 因此,分布式图像检索系统是模块化的,可以在每个服务器的基础上进行调整,修改,复制和替换。 此外,图像检索系统的设计允许叶服务器之间灵活的负载平衡。