Gradient-based edge detection for motion estimation in H.264/AVC
- Title
- Gradient-based edge detection for motion estimation in H.264/AVC
- Other Titles
- AVC
- Author
- Anand Paul
- Keywords
- VIDEO; ARCHITECTURE
- Issue Date
- 2011-06
- Publisher
- INSTITUTION OF ENGINEERING AND TECHNOLOGY
- Citation
- IET IMAGE PROCESSING, 2011, 5(4), P.323-327
- 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.
- URI
- https://www.crossref.org/iPage?doi=10.1049%2Fiet-ipr.2009.0256http://hdl.handle.net/20.500.11754/66587
- ISSN
- 1751-9659
- DOI
- 10.1049/iet-ipr.2009.0256
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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