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Báo cáo hóa học: " Motion Vector Estimation Using Line-Square Search Block Matching Algorithm for Video Sequences"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Motion Vector Estimation Using Line-Square Search Block Matching Algorithm for Video Sequences | EURASIP Journal on Applied Signal Processing 2004 11 1750-1756 2004 Hindawi Publishing Corporation Motion Vector Estimation Using Line-Square Search Block Matching Algorithm for Video Sequences Ding Gui-guang Broadband Networks digital Media Lab Automation Department Tsinghua University Beijing 100084 China Email dinggg@mail.tsinghua.edu.cn Guo Bao-long School of Electromechanical Engineering Xidian University Xi an 710071 China Email blguo@xidian.edu.cn Received 19 May 2003 Revised 16 December 2003 Recommended for Publication by Reha Civanlar Motion estimation and compensation techniques are widely used for video coding applications but the real-time motion estimation is not easily achieved due to its enormous computations. In this paper a new fast motion estimation algorithm based on line search is presented in which computation complexity is greatly reduced by using the line search strategy and a parallel search pattern. Moreover the accurate search is achieved because the small square search pattern is used. It has a best-case scenario of only 9 search points which is 4 search points less than the diamond search algorithm. Simulation results show that compared with the previous techniques the LSPS algorithm significantly reduces the computational requirements for finding motion vectors and also produces close performance in terms of motion compensation errors. Keywords and phrases motion estimation diamond search algorithm video coding. 1. INTRODUCTION In video coding the high correlation between successive frames can be exploited to improve coding efficiency which is usually achieved by using motion estimation ME and motion compensation technology. Many ME methods have been studied in an effort to reduce the computational complexity of the ME such as block matching algorithms BMA parametric motion models optical flow and pel-recursive techniques. Among these methods BMA seems to be the most popular method due to its effectiveness and simplicity for both .