Various techniques for low bit rate video coding

2012 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2012-12-31 DOI:10.1109/ICCICT.2012.6398221

S. Mishra, S. Sawarkar

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引用次数: 1

Abstract

In this paper various techniques for low bit rate video coding are studied and implemented. The selection of an optimal regular-shaped pattern set for very low bit-rate video coding, focusing on moving regions has been the objective of much recent research in order to try and improve bit-rate efficiency. An approach to Variable Size Block Matching is also implemented, based on the binary partitioning of blocks. If a particular block does not allow for accurate motion compensation, then it is split into two using the horizontal or vertical line that achieves the maximum reduction in motion compensation error. This method causes partitioning to occur along motion boundaries, thus substantially reducing blocking artifacts. In addition, small blocks are placed in regions of complex motion, while large blocks cover regions of uniform motion. Also the paper is a review of the block matching algorithms used for motion estimation in video compression. It implements and compares 7 different types of block matching algorithms that range from the very basic Exhaustive Search to the recent fast adaptive algorithms like Adaptive Rood Pattern Search.

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低比特率视频编码的各种技术

本文对各种低比特率视频编码技术进行了研究和实现。为非常低的比特率视频编码选择一个最优的规则形状模式集，重点是移动区域，已经成为最近许多研究的目标，以尝试和提高比特率效率。本文还实现了一种基于块二进制分割的可变大小块匹配方法。如果一个特定的块不允许精确的运动补偿，那么它被分成两个使用水平或垂直线，达到最大限度地减少运动补偿误差。这种方法导致沿运动边界进行分区，从而大大减少了阻塞工件。此外，小块被放置在复杂运动区域，而大块覆盖均匀运动区域。本文还对视频压缩中用于运动估计的块匹配算法进行了综述。它实现并比较了7种不同类型的块匹配算法，从非常基本的穷举搜索到最近的快速自适应算法，如自适应道路模式搜索。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2012 International Conference on Communication, Information & Computing Technology (ICCICT)

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