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Perceptual Video Summarization—A New Framework for Video Summarization

机译:感知视频摘要—视频摘要的新框架

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摘要

The enormous growth of video content in recent times has raised the need to abbreviate the content for human consumption. Thus, there is a need for summaries of a quality that meets the requirements of human users. This also means that the summarization must incorporate the peculiar features of human perception. We present a new framework for video summarization in this paper. Unlike many available summarization algorithms that utilize only statistical redundancy, we introduce for the first time the features of the human visual system within the summarization framework itself to allow for the emphasis of perceptually significant events while simultaneously eliminating perceptual redundancy from the summaries. The subjective and objective evaluation scores have evaluated the framework.
机译:近年来,视频内容的迅猛增长引起了人们对缩写内容的需求。因此,需要一种能够满足人类使用者需求的质量的摘要。这也意味着摘要必须包含人类感知的特殊特征。我们在本文中提出了一个新的视频摘要框架。与许多仅利用统计冗余的可用摘要算法不同,我们首次在摘要框架本身中引入了人类视觉系统的功能,以强调感知重大事件,同时从摘要中消除了感知冗余。主观和客观评估分数已经评估了框架。

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