Content-aware layered compound video compression
Content-aware layered compound video compression
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DOI：
10.1109/iscas.2012.6271519
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发表时间：
2012-05
期刊：
影响因子：
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通讯作者：
Shiqi Wang;Jingjing Fu;Yan Lu;Shipeng Li;Wen Gao
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文献类型：
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作者：
Shiqi Wang;Jingjing Fu;Yan Lu;Shipeng Li;Wen Gao
复合视频压缩对于远程控制和数据评估至关重要。在本文中，我们提出一种内容感知分层视频编码方案，试图对复合视频进行高效压缩。在该方案中，复合视频在块、对象和层三个金字塔层级上逐步进行分析和处理。首先，通过一种块类型分类技术对复合视频进行分析，以获取每个块的空间和时间特性。其次，基于块类型在每一帧中自适应地检测自然视频对象。最后，将复合视频内容分配到不同的层，并采用专门设计的视频编码算法对每一层进行压缩。实验表明，我们提出的方案能够保留所采用的每层压缩算法的优势，并且在复合视频压缩方面优于其中每一种算法。
Compound video compression is crucial for remote control and data assessment. In this paper, we propose a content-aware layered video coding scheme as an attempt to efficiently compress the compound video. In this scheme, the compound video is analyzed and processed progressively at three pyramid levels: block, object and layer. Firstly, the compound video is analyzed by a block type classification technique to access each block's spatial and temporal properties. Secondly, the natural video object is detected adaptively in each frame based on the block type. Finally, the compound video content is distributed into different layers and specifically designed video coding algorithms are employed to compress each layer. Experiments demonstrate that our proposed scheme can preserve the advantages of the employed compression algorithms for each layer and outperform each of them in the compound video compression.