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@ICT: attention-based virtual content insertion

机译:@ICT:基于关注的虚拟内容插入

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摘要

In this paper, we propose an attention-based virtual content insertion solution, called @ICT. Virtual content insertion (VCI) is an emerging application of video analysis and has been used in video augmentation and advertisement insertion. An ideal VCI solution should make the inserted virtual content being noticed by audiences and at the same time should not interfere with audiences' viewing experience on the original content. To balance these two conflicting issues, meaning high attention and low intrusiveness, we choose higher attentive shots as insertion time while determine insertion place and content interdependently by considering lower attention together with visual consistency. We also propose a measurement of intrusiveness from the viewpoint of visual attention. Furthermore, @ICT includes an in-scene insertion module, which embeds the virtual content into the videos with higher vividness and lower intrusiveness. @ICT is able to obtain an optimal balance between the noticing of the virtual content by audiences and disruption of viewing experience to the original content. It needs little prior knowledge and is applied to general videos. Extensive quantitative and qualitative evaluations on the VCI result have verified the effectiveness of the solution.
机译:在本文中,我们提出了一种基于注意力的虚拟内容插入解决方案,称为@ICT。虚拟内容插入(VCI)是视频分析的新兴应用,已用于视频增强和广告插入。理想的VCI解决方案应使插入的虚拟内容能够引起观众的注意,同时也不应干扰观众对原始内容的观看体验。为了平衡这两个矛盾的问题,即高关注度和低干扰性,我们选择较高的注视镜头作为插入时间,同时通过考虑较低的关注度和视觉一致性来相互确定插入位置和内容。我们还提出了从视觉注意力的角度对侵入性的测量。此外,@ ICT包括一个场景内插入模块,该模块将虚拟内容以更高的逼真度和更低的介入度嵌入视频中。 @ICT能够在观众对虚拟内容的注意与对原始内容的观看体验的破坏之间取得最佳的平衡。它几乎不需要先验知识,并且可以应用于一般视频。对VCI结果的大量定量和定性评估证明了该解决方案的有效性。

著录项

  • 来源
    《Multimedia Systems》 |2012年第3期|p.201-214|共14页
  • 作者单位

    Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, 100190 Beijing, China;

    Graduate University of Chinese Academy of Sciences, 100049 Beijing, China;

    National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190 Beijing, China;

    Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, 100190 Beijing, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    video content analysis; virtual content insertion; visual attention;

    机译:视频内容分析;虚拟内容插入;视觉注意;
  • 入库时间 2022-08-18 02:06:28

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