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Seamless annotation and enrichment of mobile captured video streams in real-time

机译:实时无缝注释和丰富移动捕获的视频流

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Mobile phones are becoming more and more ubiquitous with a large number of these devices having image/video capturing capabilities, connection capabilities and built-in rich sensory. This has encouraged the common user to capture more image/video content than ever before. However, this has created two interrelated problems: 1) while capturing some scene the user may want to get more information about it to make a decision (e.g. a buying one) without painful textual input on these mobile devices and while accounting for multiple meanings associated with a single image, as an image is worth a thousand words and 2) videos captured cannot be easily searched afterwards and hence forgotten due to the lack of proper indexing techniques. In this paper, we are presenting a system addressing the above two problems through a single solution by providing users with real-time automatically generated tags of their currently captured videos. The user can select/deselect from the automatic tags, thus tags can serve as visual query suggestions helping bridging the user's query intent. This same set of tags will be stored with the video for enabling easy content access afterwards.
机译:随着大量具有图像/视频捕获功能,连接功能和内置丰富感官功能的设备的出现,移动电话变得越来越无处不在。这鼓励了普通用户捕获比以往更多的图像/视频内容。但是,这产生了两个相互关联的问题:1)在捕获某个场景时,用户可能希望获取有关该场景的更多信息以做出决策(例如,购买场景),而无需在这些移动设备上进行痛苦的文本输入,并且考虑了与之相关的多种含义仅使用一张图像,因为一张图像的价值为一千个单词,并且2)之后捕获的视频无法轻松搜索,因此由于缺少适当的索引技术而被遗忘了。在本文中,我们将通过为用户提供实时自动生成的当前捕获视频的标签,通过一个解决方案来解决上述两个问题的系统。用户可以从自动标签中进行选择/取消选择,因此标签可以用作可视化查询建议,帮助桥接用户的查询意图。相同的标签集将与视频一起存储,以便以后轻松访问内容。

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