A Modified Hexagon-Based Search algorithm for block motion estimation

Autor: Su Rui, Zhou Guanfeng, Liu Guizhong
Rok vydání: 2003
Předmět:
Zdroj: International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003.
DOI: 10.1109/icnnsp.2003.1281086
Popis: A Modified Hexagon-Based Search algorithm MHBS for motion estimation is proposed in this paper, which combines the ideas of One-Step-Stop, Sub-Sampling Match and Hexagon Search Pattern. Experimental results show that, compared with the existing fast search algorithms such as TSS, NTSS, DS and HEXBS, the proposed MHBS achieves a similar performance while requiring a much less computation. The low computational cost makes MHBS very suitable for mobile environments, in which low power is required.
Databáze: OpenAIRE