用于运动估计的全新自适应一步一次搜索策略

Novel adaptive one at a time search strategies for motion estimation

采用全新的搜索策略对一步一次搜索(OTA)方法进行改进,包括利用全新的自适应搜索提前终止门限、运动矢量预测、零运动矢量优先、以及搜索模版技术。并且这些策略完全可以运用到其他算法当中。大量的标准序列测试结果表明了这种算法的有效性、强健性和高度自适应性。该文的搜索策略和算法关注编码后的所有性能,而不仅仅是只关注编码速度或者是峰值信噪比。

In this paper,several novel search strategies used in the proposed OTA（one at a time algorithm） are proposed;actually,all these search strategies can be used in other algorithms.These search strategies include new adaptive termination threshold, Motion Vector（MV） prediction,zero MV priority and search templates.Extensive standard test sequences have shown that the proposed search strategies and algorithm is very effective,robust and adaptive.We focus on all the performances of coding image but not only on bit-rate or PSNR