Gradient-based edge detection for motion estimation in H.264/AVC
- Authors
- Paul, Anand; Wu, Jiaji; Yang, Jar-Ferr; Jeong, Jechang
- Issue Date
- Jun-2011
- Publisher
- INST ENGINEERING TECHNOLOGY-IET
- Citation
- IET IMAGE PROCESSING, v.5, no.4, pp.323 - 327
- Indexed
- SCIE
SCOPUS
- Journal Title
- IET IMAGE PROCESSING
- Volume
- 5
- Number
- 4
- Start Page
- 323
- End Page
- 327
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/168314
- DOI
- 10.1049/iet-ipr.2009.0256
- ISSN
- 1751-9659
- Abstract
- This study introduces a block-based motion estimation algorithm based on projection with adaptive window-size selection. Using one-dimensional (1D) projection, the original 2D block-matching problem is translated to a simpler 1D matching problem which eliminates the majority of potential pixel participation. The authors propose an efficient fast-motion estimation method using an intensity gradient algorithm to reduce the encoding time. The proposed algorithm estimates the texture direction of the block, and then a horizontal or vertical projection is employed for the sum of absolute difference calculation. Experimental results show that the proposed algorithm achieves a greater than 60% time reduction with negligible peak signal to noise ratio (PSNR) loss and BR increments.
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