On the use of hierarchical prediction structures for efficient summary generation of H.264/AVC bitstreams
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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.
论文关键词:Video summarization,Temporal scalability,H.264/AVC,Content-based browsing
论文评审过程:Received 25 March 2008, Revised 28 May 2009, Accepted 10 June 2009, Available online 21 June 2009.
论文官网地址:https://doi.org/10.1016/j.image.2009.06.003