On-line sprite encoding with large global motion estimation

Feng Wu, Wen Gao, Xiang YangZhou, Gao Peng, Chen Datong
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引用次数: 3

Abstract

Summary form only given. A sprite which is an image composed of pixels belonging to a video object visible throughout a video segment is a very important concept proposed by MPEG4. Because of the search region limitation in the global motion estimation, the performance of traditional sprite coding technology is not satisfactory in the case of fast camera motion. Only enlarging the search region is difficult to ensure the right motion estimation. An improved algorithm is proposed with enlarging the search region, predicting the motion of the current VOP (video object plane) and shortening the iterative time. Three main techniques are adopted in the new algorithm. They are: (1) enlarging search region; (2) weighting sum of absolute difference (SAD); and (3) shortening iteration. Two group experiments present a comparison between the original algorithm and the improved algorithm. The first group experiment shows the improved algorithm gets the same performance as the original algorithm in coding the general motion sequences. In the second group experiment, the Stefan background sequences which frame rates of 15 Hz, 10 Hz, 7.5 Hz, and 6 Hz are encoded in various transformations. The results given in a table show the coding performances of the algorithm are significantly improved.
具有大全局运动估计的在线精灵编码
只提供摘要形式。sprite(精灵)是由属于视频对象的像素组成的图像,在整个视频片段中可见,是MPEG4提出的一个非常重要的概念。由于全局运动估计中搜索区域的限制,传统的精灵编码技术在摄像机快速运动的情况下表现不理想。仅扩大搜索区域难以保证正确的运动估计。提出了一种扩大搜索区域、预测当前视频目标平面运动和缩短迭代时间的改进算法。新算法主要采用了三种技术。它们是:(1)扩大搜索区域;(2)绝对差值加权和;(3)缩短迭代。两组实验比较了原算法和改进算法。第一组实验表明,改进算法在对一般运动序列进行编码时取得了与原算法相同的性能。在第二组实验中,对帧率分别为15hz、10hz、7.5 Hz和6hz的Stefan背景序列进行不同的变换编码。结果表明,该算法的编码性能得到了显著提高。
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