Adaptive Two-Step Edge-Based Partial Distortion Search Algorithm using Motion Vector Prediction
- Title
- Adaptive Two-Step Edge-Based Partial Distortion Search Algorithm using Motion Vector Prediction
- Author
- 정제창
- Keywords
- Power, Energy and Industry Applications; Components, Circuits, Devices and Systems; Fields, Waves and Electromagnetics; PSNR; Motion estimation; Pixel; Prediction algorithms; Computational complexity; Sorting; partial distortion search; Video coding; motion estimation; motion compensation
- Issue Date
- 2011-05
- Publisher
- IEEE; 1999
- Citation
- IEEE transactions on consumer electronics,57(2),631-637
- Abstract
- Motion estimation is a core process within video coding schemes, because it enables the transmission and storage of video signals, while using a lower bit rate. Various methods have been proposed for motion estimation. A full search algorithm is considered to be the optimal method, but it suffers from a high computational burden. In order to reduce the computations, this paper proposes an adaptive two-step edgebased partial distortion search algorithm. The proposed algorithm reduces computations by reducing the total search point and adjusting the search range. The proposed algorithm is 147 times faster than full search (FS), 12 times faster than normalized partial distortion search, and 1.75 times faster than a two-step edge based partial distortion search (TS-EPDS). It also shows a high video quality, in comparison with FS, in terms of PSNR. The proposed algorithm is suitable for real-time implementation of high-quality digital video applications.
- URI
- http://ieeexplore.ieee.org/document/5955201/
- ISSN
- 0098-3063
- DOI
- 10.1109/TCE.2011.5955201
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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