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    • 51. 发明申请
    • Efficient propagation for face annotation
    • 面部注释的高效传播
    • US20060239515A1
    • 2006-10-26
    • US11111696
    • 2005-04-21
    • Lei ZhangMingjing LiWei-Ying MaYan-Feng SunYuxiao Hu
    • Lei ZhangMingjing LiWei-Ying MaYan-Feng SunYuxiao Hu
    • G06F17/00G06K9/00G06K9/54
    • G06K9/00288G06F17/30265G06F17/30274G06K9/6221G06K2009/00328Y10S707/99945Y10S707/99948
    • Systems, engines, user interfaces, and methods allow a user to select a group of images, such as digital photographs, and assign to the group of images the name of a person who is represented in each of the images. The name is automatically propagated to the face of the person, each time the person's face occurs in an image. In one implementation, names and associations are shared between a browsing mode for viewing multiple images at once and a viewer mode, for viewing one image at a time. The browsing mode can provide a menu of candidate names for annotating a face in a single image of the viewer mode. Likewise, the viewer mode can provide annotated face information to the browser mode for facilitating name propagation. Identification of a person's face in multiple images can be accomplished not only by finding similarities in facial features but also by finding similarities in contextual features near the face in different images.
    • 系统,引擎,用户界面和方法允许用户选择一组图像,例如数字照片,并且在图像组中分配在每个图像中表示的人的姓名。 每当人的脸发生在图像中时,名称将自动传播到人的脸部。 在一个实现中,名称和关联在用于一次查看多个图像的浏览模式和观看者模式之间共享,以便一次查看一个图像。 浏览模式可以提供用于在观看者模式的单个图像中注释脸部的候选名称的菜单。 类似地,观看者模式可以向浏览器模式提供注释的面部信息,以便于名称传播。 可以通过在面部特征中发现相似性,而且通过在不同图像中的脸部附近的上下文特征中找到相似性来实现多个图像中的人脸识别。
    • 59. 发明申请
    • Scalable Music Recommendation by Search
    • 可搜索的可扩展音乐推荐
    • US20090277322A1
    • 2009-11-12
    • US12116805
    • 2008-05-07
    • Rui CaiLei ZhangWei-Ying Ma
    • Rui CaiLei ZhangWei-Ying Ma
    • G10H1/00
    • G10H1/0058G10H2210/081G10H2240/135G10H2240/305G10H2250/011
    • An exemplary method includes providing a music collection of a particular scale, determining a distance parameter for locality sensitive hashing based at least in part on the scale of the music collection and constructing an index for the music collection. Another exemplary method includes providing a song, extracting snippets from the song, analyzing time-varying timbre characteristics of the snippets and constructing one or more queries based on the analyzing. Such exemplary methods may be implemented by a portable device configured to maintain an index, to perform searches based on selected songs or portions of songs and to generate playlists from search results. Other exemplary methods, devices, systems, etc., are also disclosed.
    • 一种示例性方法包括提供特定比例的音乐集合,至少部分地基于音乐收藏的比例并且为音乐收藏构建索引,确定用于局部敏感哈希的距离参数。 另一个示例性方法包括提供歌曲,从歌曲中提取片段,分析片段的时变音色特征并基于分析构建一个或多个查询。 这样的示例性方法可以通过被配置为维持索引的便携式设备来实现,以基于所选歌曲或歌曲的一部分执行搜索,并且从搜索结果生成播放列表。 还公开了其它示例性方法,装置,系统等。