標題: Modeling of Pattern-Based Block Motion Estimation and Its Application
作者: Tsai, Jang-Jer
Hang, Hsueh-Ming
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
關鍵字: Genetic search;modeling;motion estimation;pattern-based block motion estimation (BME);video coding
公開日期: 1-一月-2009
摘要: Pattern-based block motion estimation (PBME) is one of the most widely adopted compression tools in the contemporary video coding systems. However, despite that many researches have studied PBME, few have yet attempted to construct an analytical model that can explain the underneath principle and mechanism of various PBME algorithms. In this paper, we propose a statistical PBME model that consists of two components: 1) a statistical probability distribution for motion vectors and 2) the minimal number of search points (so-called weighting function) achieved by a search algorithm. We first verify the accuracy of the proposed model by checking the experimental data. Then, an application example using this model is shown. Starting from an ideal weighting function, we devise a novel genetic rhombus pattern search (GRIPS) to match the design target. Simulations show that, comparing to the other popular search algorithms, GRIPS reduces the average search points for more than 20% and, in the meanwhile, it maintains a similar level of coded image quality.
URI: http://dx.doi.org/10.1109/TCSVT.2008.2009248
http://hdl.handle.net/11536/7861
ISSN: 1051-8215
DOI: 10.1109/TCSVT.2008.2009248
期刊: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
Volume: 19
Issue: 1
起始頁: 108
結束頁: 113
顯示於類別:期刊論文


文件中的檔案:

  1. 000262714600011.pdf