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Object-based stereo video compression using fractals and shape-adaptive DCT

机译:使用分形和形状自适应DCT的基于对象的立体声视频压缩

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摘要

Based on the classical fractal video compression method, an improved object-based stereo video compression scheme with Shape-Adaptive DCT is proposed in this paper. Firstly, we use more effective macroblock partition scheme instead of classical quadtree partition scheme; thus reducing the block searching strategy. The stereo fractal video coding is proposed which matches the macroblock with two reference frames in left and right view results in increasing compression ratio and reducing bit rate when transmitting compressed stereo data. The stereo codec combines the Motion Compensation Prediction (MCP) and Disparity Compensation Prediction (DCP). Fractal coding is adopted and each object is encoded independently by a prior video segmentation alpha plane, which is defined exactly as in MPEG-4. The testing results with the nature monocular and stereo video sequences provide promising performances at low bit rate coding. We believe it will be a powerful and efficient technique for the object-based monocular and stereo video sequences coding.
机译:基于经典的分形视频压缩方法,提出了一种改进的基于形状自适应DCT的基于对象的立体视频压缩方案。首先,我们使用更有效的宏块分区方案,而不是经典的四叉树分区方案;从而减少了块搜索策略。提出了立体声分形视频编码,该立体声分形视频编码在左视图和右视图中将宏块与两个参考帧进行匹配,从而在传输压缩的立体声数据时提高了压缩率并降低了比特率。立体声编解码器结合了运动补偿预测(MCP)和视差补偿预测(DCP)。分形编码被采用,并且每个对象由先前的视频分割alpha平面独立编码,该平面精确地按照MPEG-4的定义。自然的单眼和立体声视频序列的测试结果在低比特率编码下提供了有希望的性能。我们相信,对于基于对象的单眼和立体声视频序列编码,这将是一种强大而有效的技术。

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