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公开(公告)号:US20140114643A1
公开(公告)日:2014-04-24
申请号:US13654419
申请日:2012-10-18
Applicant: MICROSOFT CORPORATION
Inventor: Simon Baker , Krishnan Ramnath
IPC: G06F17/27
CPC classification number: G06T11/60 , G06F17/241 , G06F17/30265 , G06F17/30817 , G06T7/70
Abstract: The description relates to sentence autocaptioning of images. One example can include a set of information modules and a set of sentence generation modules. The set of information modules can include individual information modules configured to operate on an image or metadata associated with the image to produce image information. The set of sentence generation modules can include individual sentence generation modules configured to operate on the image information to produce a sentence caption for the image.
Abstract translation: 描述涉及图像的句子自动标注。 一个例子可以包括一组信息模块和一组语句生成模块。 该组信息模块可以包括被配置为对与图像相关联的图像或元数据进行操作以产生图像信息的各个信息模块。 该组语句生成模块可以包括被配置为对图像信息进行操作以产生图像的句子标题的单个句子生成模块。
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公开(公告)号:US09317531B2
公开(公告)日:2016-04-19
申请号:US13654419
申请日:2012-10-18
Applicant: Microsoft Corporation
Inventor: Simon Baker , Krishnan Ramnath
CPC classification number: G06T11/60 , G06F17/241 , G06F17/30265 , G06F17/30817 , G06T7/70
Abstract: The description relates to sentence autocaptioning of images. One example can include a set of information modules and a set of sentence generation modules. The set of information modules can include individual information modules configured to operate on an image or metadata associated with the image to produce image information. The set of sentence generation modules can include individual sentence generation modules configured to operate on the image information to produce a sentence caption for the image.
Abstract translation: 描述涉及图像的句子自动标注。 一个例子可以包括一组信息模块和一组语句生成模块。 该组信息模块可以包括被配置为对与图像相关联的图像或元数据进行操作以产生图像信息的各个信息模块。 该组语句生成模块可以包括被配置为对图像信息进行操作以产生图像的句子标题的单个句子生成模块。
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公开(公告)号:US20150312652A1
公开(公告)日:2015-10-29
申请号:US14260565
申请日:2014-04-24
Applicant: Microsoft Corporation
Inventor: Simon Baker , Eran Borenstein , Eitan Sharon , Mehmet Nejat Tek
IPC: H04N21/8549 , H04N21/44 , G11B27/036
CPC classification number: H04N21/8549 , G11B27/031 , H04N21/44008 , H04N21/8456
Abstract: A system and method are disclosed for automatically generating a highlight reel of video content. Segments from a segment list may be associated with, or indexed to, corresponding sequences from a video of an event for which the segment list is prepared. Thereafter, also using the segment list, segments may be scored using a variety of predefined criteria to come up with segments which are likely to be of greatest interest to a particular user. The video sequences associated with the highest scored segments are used as the video highlight reel.
Abstract translation: 公开了一种用于自动生成视频内容的突出显示卷轴的系统和方法。 来自片段列表的片段可以与来自片段列表准备的事件的视频相关联或对其进行索引。 此后,也使用片段列表,可以使用各种预定义的标准对片段进行评分,以得出可能对特定用户最感兴趣的片段。 与最高得分片段相关联的视频序列用作视频高亮线轴。
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公开(公告)号:US20130315480A1
公开(公告)日:2013-11-28
申请号:US13959724
申请日:2013-08-05
Applicant: Microsoft Corporation
Inventor: Simon Baker , Dahua Lin , Anitha Kannan , Qifa Ke
IPC: G06K9/00
CPC classification number: G06K9/00456 , G06F17/2765 , G06F17/30265
Abstract: Text in web pages or other text documents may be classified based on the images or other objects within the webpage. A system for identifying and classifying text related to an object may identify one or more web pages containing the image or similar images, determine topics from the text of the document, and develop a set of training phrases for a classifier. The classifier may be trained and then used to analyze the text in the documents. The training set may include both positive examples and negative examples of text taken from the set of documents. A positive example may include captions or other elements directly associated with the object, while negative examples may include text taken from the documents, but from a large distance from the object. In some cases, the system may iterate on the classification process to refine the results.
Abstract translation: 可以基于网页内的图像或其他对象来对网页或其他文本文档中的文本进行分类。 用于识别和分类与对象相关的文本的系统可以识别包含图像或类似图像的一个或多个网页,从文档的文本确定主题,并且为分类器开发一组训练短语。 可以对分类器进行训练,然后用于分析文档中的文本。 训练集可能包括从该组文件中获取的文本的正面例子和否定的例子。 正面例子可以包括与对象直接相关联的标题或其他元素,而负面示例可以包括从文档中取出的文本,但是距离对象很远的距离。 在某些情况下,系统可能会对分类过程进行迭代以优化结果。
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公开(公告)号:US20150234919A1
公开(公告)日:2015-08-20
申请号:US14180901
申请日:2014-02-14
Applicant: Microsoft Corporation
Inventor: Simon Baker , Eran Borenstein , Mehmet Nejat Tek , Eitan Sharon
IPC: G06F17/30 , G06F3/0482 , G06F3/0484
CPC classification number: G06F17/30849 , G06F3/0482 , G06F3/04842 , G06F17/30852 , G06F17/30858 , G11B27/11 , G11B27/28 , G11B27/34
Abstract: A system and method are disclosed for quickly and easily browsing to points of interest within a recorded video. In examples, the present system works in tandem with a segment list which includes a list of different video sequences of a stored video of an event. One typical example of a segment list is a play-by-play (PBP) which is prepared contemporaneously with a sporting event. Segments from a segment list may be associated with, or indexed to, corresponding sequences from the stored video. Thereafter, a user interface allows a user to interactively watch or browse the event by jumping to a desired point in the video for playback by selecting its associated segment from the user interface.
Abstract translation: 公开了一种系统和方法,用于快速且容易地浏览记录的视频内的兴趣点。 在示例中,本系统与包括事件的存储视频的不同视频序列的列表的段列表一起工作。 片段列表的一个典型示例是与体育赛事同时准备的逐个播放(PBP)。 来自片段列表的片段可以与存储的视频相关联或对其进行索引。 此后,用户界面允许用户通过从用户界面中选择其关联的段跳转到视频中的期望点来交互地观看或浏览该事件。
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