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    • 32. 发明申请
    • AIDING DISCOVERY OF PROGRAM CONTENT BY PROVIDING DEEPLINKS INTO MOST INTERESTING MOMENTS VIA SOCIAL MEDIA
    • 通过社会媒体将节目内容提供给最有趣的人物,帮助发现节目内容
    • US20160117332A1
    • 2016-04-28
    • US14987354
    • 2016-01-04
    • Google Inc.
    • Ant OztaskentGjokica Zafirovski
    • G06F17/30G06F3/0484G06F3/0482
    • G06F17/3053G06F3/0482G06F3/04842G06F17/30029G06F17/30253G06F17/3082G06F17/30867G06F17/3087G06Q50/01H04N21/4782H04N21/64322H04N21/812
    • A computerized method, system for, and computer-readable medium operable to: retrieve program details data about at least one media program. Retrieve social media posts involving the at least one media program. Match the retrieved program details data with the retrieved social media posts to find matching locations. Store time offset data corresponding to the matched locations within the at least one media program into at least one micropost. Rank the at least one media program by the number of microposts corresponding to the at least one media program. Present the at least one media program, each of the at least one media program with at least one micropost, wherein the at least one micropost comprises a link to the original social media page hosting the social media post and a video deeplink that plays a time off-set video, the time off-set video starting from the stored time offset data.
    • 一种计算机化方法,系统和计算机可读介质,可操作用于:检索关于至少一个媒体程序的节目细节数据。 检索涉及至少一个媒体节目的社交媒体帖子。 将检索到的节目详细信息与检索到的社交媒体帖子相匹配,以找到匹配的位置。 将与所述至少一个媒体节目内的匹配位置相对应的时间偏移数据存储到至少一个微型播放器中。 将所述至少一个媒体节目排列为与所述至少一个媒体节目对应的微型播放机的数量。 使用至少一个微型播放器呈现至少一个媒体节目,每个至少一个媒体节目,其中所述至少一个微型播放器包括指向承载社交媒体文章的原始社交媒体页面的链接和播放时间的视频深层链接 离开视频,从存储的时间偏移数据开始的时间偏移视频。
    • 36. 发明授权
    • Content selection based on image content
    • 基于图像内容的内容选择
    • US09305025B2
    • 2016-04-05
    • US13827000
    • 2013-03-14
    • Google Inc.
    • Jingbin WangXiangrong ChenCharles J. Rosenberg
    • G06F17/30
    • G06F17/3053G06F17/30253G06F17/30268G06F17/30887
    • Methods, systems, and apparatus, include computer programs encoded on a computer-readable storage medium, for determining keywords for an image that supports an overlay content item. A method includes identifying, using one or more processors, an image that is to support an overlay content item, the image being presented on a web site and including a portion that is designated as being enabled to receive and display the overlay content item; evaluating pixel data associated with the image including determining one or more labels that are associated with content included within the image; and determining one or more keywords for the image based at least in part on the one or more labels.
    • 方法,系统和装置包括编码在计算机可读存储介质上的计算机程序,用于确定支持覆盖内容项的图像的关键字。 一种方法包括:使用一个或多个处理器识别支持覆盖内容项的图像,所述图像呈现在网站上,并且包括被指定为被启用以接收和显示所述重叠内容项的部分; 评估与所述图像相关联的像素数据,包括确定与所述图像内包含的内容相关联的一个或多个标签; 以及至少部分地基于所述一个或多个标签来确定所述图像的一个或多个关键字。
    • 40. 发明授权
    • Automatic face annotation method and system
    • 自动面部注释方法和系统
    • US09176987B1
    • 2015-11-03
    • US14468800
    • 2014-08-26
    • TCL RESEARCH AMERICA INC.
    • Liang PengYimin YangHaohong Wang
    • G06K9/00G06F17/30G06K9/62G06T5/00G06F17/24
    • G06K9/00765G06F17/241G06F17/30G06F17/30253G06F17/30289G06F17/30864G06K9/00228G06K9/00288G06K9/00677G06K9/6269G06T5/002G06T2207/10016G06T2207/30201
    • An automatic face annotation method is provided. The method includes dividing an input video into different sets of frames, extracting temporal and spatial information by employing camera take and shot boundary detection algorithms on the different sets of frames, and collecting weakly labeled data by crawling weakly labeled face images from social networks. The method also includes applying face detection together with an iterative refinement clustering algorithm to remove noise of the collected weakly labeled data, generating a labeled database containing refined labeled images, finding and labeling exact frames containing one or more face images in the input video matching any of the refined labeled images based on the labeled database, labeling remaining unlabeled face tracks in the input video by a semi-supervised learning algorithm to annotate the face images in the input video, and outputting the input video containing the annotated face images.
    • 提供自动面部注释方法。 该方法包括将输入视频划分为不同的帧组,通过在不同帧组上采用摄像机拍摄边界检测算法提取时间和空间信息,并通过从社交网络中爬行弱标签的脸部图像来收集弱标签数据。 该方法还包括将面部检测与迭代细化聚类算法一起应用以消除所收集的弱标记数据的噪声,产生包含精细标记图像的标记数据库,在输入视频中找到并标记包含一个或多个面部图像的精确帧匹配任何 基于标记数据库的精细标记图像,通过半监督学习算法在输入视频中标记剩余的未标记的面部轨迹以注释输入视频中的面部图像,以及输出包含注释的面部图像的输入视频。