COMPUTERIZED SYSTEM AND METHOD FOR AUTOMATICALLY EXTRACTING GIFS FROM VIDEOS

    公开(公告)号:US20170133054A1

    公开(公告)日:2017-05-11

    申请号:US14933397

    申请日:2015-11-05

    Applicant: YAHOO! INC.

    CPC classification number: G11B27/031 G11B27/28

    Abstract: Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatically extracting and creating an animated Graphics Interchange Format (GIF) file from a media file. The disclosed systems and methods identify a number of GIF candidates from a video file, and based on analysis of each candidate's attributes, features and/or qualities, as well as determinations related to an optimal playback setting for the content of each GIF candidate, at least one GIF candidate is automatically provided to a user for rendering.

    TOPICAL BASED MEDIA CONTENT SUMMARIZATION SYSTEM AND METHOD
    5.
    发明申请
    TOPICAL BASED MEDIA CONTENT SUMMARIZATION SYSTEM AND METHOD 审中-公开
    基于主题的媒体内容概要系统和方法

    公开(公告)号:US20160299968A1

    公开(公告)日:2016-10-13

    申请号:US14682654

    申请日:2015-04-09

    Applicant: Yahoo! Inc.

    CPC classification number: G06F17/30843 G06F17/30719 G06F17/30722

    Abstract: Disclosed herein is an automated approach for summarizing media content using descriptive information associated with the media content. For example and without limitation, the descriptive information may comprise a title associated with the media content. One or more segments of the media content may be identified to form a media content summary based on each segment's respective similarity to the descriptive information, which respective similarity may be determined using a media content and auxiliary data feature spaces. A shared dictionary of canonical patterns generated using the media content and auxiliary data feature spaces may be used in determining a media content segment's similarity to the descriptive information.

    Abstract translation: 本文公开了一种使用与媒体内容相关联的描述性信息来概括媒体内容的自动化方法。 例如但不限于,描述性信息可以包括与媒体内容相关联的标题。 可以基于每个段与描述信息的各自相似度来识别媒体内容的一个或多个段以形成媒体内容摘要,其可以使用媒体内容和辅助数据特征空间来确定各自的相似度。 可以使用使用媒体内容和辅助数据特征空间生成的规范模式的共享字典来确定媒体内容段与描述性信息的相似性。

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