@inproceedings{911e4bd1fb43491a912c575373a84450,
title = "Adaptive edge detection for motion estimation in H.264/AVC",
abstract = "This paper introduces a block-based motion estimation algorithm based on projection with adaptive window size selection. By using one-dimensional (1-D) projection the original two-dimensional (2-D) block-matching problem is translated to a simpler 1D matching, which eliminates majority of potential pixel participation. In this paper, we propose an efficient fast motion estimation method by using bi-region similarity detection (BSD) algorithm to reduce the encoding time. The proposed BSD algorithm effectively estimates the texture direction of the block to find the direction and then horizontal, vertical or diagonal projection is employed for SAD calculation. Experimental results show that the proposed algorithm achieves more than a 60% time reduction with negligible PSNR loss and bitrate increments.",
keywords = "H.264/AVC, Motion estimation, Projection based motion estimation, Region of block, Thresholding",
author = "Anand Paul and K. Bharanitharan",
year = "2010",
doi = "10.1109/IST.2010.5548443",
language = "English",
isbn = "9781424464944",
series = "2010 IEEE International Conference on Imaging Systems and Techniques, IST 2010 - Proceedings",
pages = "144--147",
booktitle = "2010 IEEE International Conference on Imaging Systems and Techniques, IST 2010 - Proceedings",
note = "2010 IEEE International Conference on Imaging Systems and Techniques, IST 2010 ; Conference date: 01-07-2010 Through 02-07-2010",
}