Collocated macroblock based motion estimation for H.264/AVC on GPU
Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 15-18 |
Journal / Publication | HKIE Transactions Hong Kong Institution of Engineers |
Volume | 17 |
Issue number | 3 |
Publication status | Published - Sept 2010 |
Link(s)
DOI | DOI |
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Document Link | Links
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-78649305967&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(5876c5d1-8c57-40d1-970e-9a3928d2e9b5).html |
Abstract
Recent results show that the parallel processing capability of the powerful Graphics Process Unit (GPU) can greatly accelerate motion estimation in H.264/AVC encoder implementation. However, the bit rate cost of motion vector (MV) is always ignored in this parallel motion estimation implementation on GPU due to the unavailability of the spatially predicted MVs, which accordingly degrades the rate-distortion performance. In this letter, a novel collocated macroblock based motion estimation algorithm is proposed to tackle this problem by using temporally predicted MV. The experimental results demonstrate that the peak signal-to-noise ratio (PSNR) improvement can be up to 0.8 dB with a negligible computational complexity increase.
Research Area(s)
- Compute unified device architecture (cuda), Graphics processing unit (gpu), H.264/AVC, Motion estimation, Parallel processing
Citation Format(s)
Collocated macroblock based motion estimation for H.264/AVC on GPU. / Gao, Yi; Yu, Shengsheng; Po, Lai Man et al.
In: HKIE Transactions Hong Kong Institution of Engineers, Vol. 17, No. 3, 09.2010, p. 15-18.
In: HKIE Transactions Hong Kong Institution of Engineers, Vol. 17, No. 3, 09.2010, p. 15-18.
Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal