ICIP 2006, Atlanta, GA
 

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Paper Detail

Paper:WA-L5.4
Session:Block Matching-Based Motion Estimation
Time:Wednesday, October 11, 10:40 - 11:00
Presentation: Lecture
Topic: Motion Detection and Estimation: Block matching
Title: FAST AND OPTIMAL BLOCK MOTION ESTIMATION VIA ADAPTIVE SUCCESSIVE ELIMINATION
Authors: Shou-Der Wei; National Tsing Hua University 
 Shao-Wei Liu; National Tsing Hua University 
 Shang-Hong Lai; National Tsing Hua University 
Abstract: In this paper we propose a fast and optimal solution for block motion estimation based on an adaptive successive elimination algorithm (SEA). We first apply the Adaptive Rood Pattern Search (ARPS) method to obtain a good initial motion vector as well as a tight initial bound of distortion measure to be used in SEA. Then, we apply the multi-level SEA with the elimination order determined by the mean of the gradient magnitudes of each sub-block. Experimental results of applying different motion estimation methods to video compression show that the proposed adaptive MSEA method can achieve the same PSNR with full search with the speed faster than the diamond search (DS).