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On the use of hierarchical prediction structures for efficient summary generation of H.264/AVC bitstreams

机译:关于使用分层预测结构有效生成H.264 / AVC比特流的摘要

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摘要

Video summarization refers to an important set of abstraction techniques aimed to provide a compact representation of the video essential to effectively browse and retrieve video content from multimedia repositories. Most of these video summarization techniques, such as image storyboards, video skims and fast previews, are based on selecting some frames or segments. H.264/AVC has become a widely accepted coding standard and is expected that many of the content will be available in this format soon. This paper proposes a generic model of video summarization especially suitable for generating summaries of H.264/AVC bitstreams in a highly efficient manner, using the concept of temporal scalability via hierarchical prediction structures. Along with the model, specific examples of summarization techniques are given to prove the utility of the model.
机译:视频摘要是指一组重要的抽象技术,旨在提供视频的紧凑表示形式,这些信息对于有效浏览和检索多媒体存储库中的视频内容至关重要。这些视频摘要技术中的大多数,例如图像故事板,视频剪辑和快速预览,都是基于选择某些帧或片段的。 H.264 / AVC已成为一种广泛接受的编码标准,并且有望很快以这种格式提供许多内容。本文提出了一种视频摘要化的通用模型,它特别适合通过分层预测结构的时间可伸缩性概念,以高效的方式生成H.264 / AVC比特流的摘要。除模型外,还给出了一些汇总技术的特定示例,以证明该模型的实用性。

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