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Adding SVC Spatial Scalability to Existing H.264/AVC Video

机译:将SVC空间可扩展性添加到现有的H.264 / AVC视频中

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This paper describes an innovative algorithm for adding SVC spatial scalability to all existing non-scalable H.264/AVC video streams. The algorithmic system builds on a full-decode-full-encode method of conversion and employs reuse of available data by an efficient downscaling of video information for different layers, thus reducing the complexity of the algorithm by manifold whilst maintaining a high coding efficiency. The complexity is further reduced by bypassing of various time consuming processes of the encoding process by the use of sharing and reuse of video information coming from original bitstream. Extensive analysis has been done to evaluate the gains in the coding efficiency and complexity of the algorithm using the full-decode-full-encode approach as a benchmark. The ultimate reduction in complexity is at least 60% from full-decode-full-encode while maintaining the output video quality. The modular nature of the algorithm is designed to be easily adaptable to other scalable video standards as well.
机译:本文介绍了一种创新算法,用于向所有现有的非可扩展H.264 / AVC视频流添加SVC空间可伸缩性。该算法系统以全额解码 - 全编码的转换方法构建,并通过有效地缩小不同层的视频信息来利用可用数据的重用,从而降低歧管的算法的复杂性,同时保持高编码效率。通过使用来自原始比特流的视频信息的共享和再利用来绕过编码过程的各种耗时过程,进一步减少了复杂性。已经使用全部解码全编码方法作为基准来评估广泛的分析来评估算法的编码效率和复杂性。在保持输出视频质量的同时,复杂性的最终降低至少为全解码 - 全编码。算法的模块化性质旨在容易适应其他可扩展的视频标准。

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