Efficient Motion Vector Re-Estimation Based on a Novel Cost Model for a H.264/AVC Transcoder
Summary :
In transcoding, it is well known that refinement of the motion vectors is critical to enhance the quality of transcoded video while significantly reducing transcoding complexity. This paper proposes a novel cost model to estimate the rate-distortion cost of motion vector composition in order to develop a reliable motion vector re-estimation method that has reasonable computation cost. Based on a statistical analysis of motion compensated prediction errors, we design a basic form of the proposed cost model as a function of distance from the optimal motion vector. Simulations with a transcoder employing the proposed cost model demonstrate a significant quality gain over representative video transcoding schemes with no complexity increase.
- Publication
- IEICE TRANSACTIONS on Information Vol.E99-D No.3 pp.777-780
- Publication Date
- 2016/03/01
- Publicized
- 2015/12/04
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2015EDL8181
- Type of Manuscript
- LETTER
- Category
- Image Processing and Video Processing
Authors
Soongi HONG
Yonsei University
Yoonsik CHOE
Yonsei University
Yong-Goo KIM
Korean German Institute of Technology
Keyword
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Soongi HONG, Yoonsik CHOE, Yong-Goo KIM, "Efficient Motion Vector Re-Estimation Based on a Novel Cost Model for a H.264/AVC Transcoder" in IEICE TRANSACTIONS on Information,
vol. E99-D, no. 3, pp. 777-780, March 2016, doi: 10.1587/transinf.2015EDL8181.
Abstract: In transcoding, it is well known that refinement of the motion vectors is critical to enhance the quality of transcoded video while significantly reducing transcoding complexity. This paper proposes a novel cost model to estimate the rate-distortion cost of motion vector composition in order to develop a reliable motion vector re-estimation method that has reasonable computation cost. Based on a statistical analysis of motion compensated prediction errors, we design a basic form of the proposed cost model as a function of distance from the optimal motion vector. Simulations with a transcoder employing the proposed cost model demonstrate a significant quality gain over representative video transcoding schemes with no complexity increase.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2015EDL8181/_p
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@ARTICLE{e99-d_3_777,
author={Soongi HONG, Yoonsik CHOE, Yong-Goo KIM, },
journal={IEICE TRANSACTIONS on Information},
title={Efficient Motion Vector Re-Estimation Based on a Novel Cost Model for a H.264/AVC Transcoder},
year={2016},
volume={E99-D},
number={3},
pages={777-780},
abstract={In transcoding, it is well known that refinement of the motion vectors is critical to enhance the quality of transcoded video while significantly reducing transcoding complexity. This paper proposes a novel cost model to estimate the rate-distortion cost of motion vector composition in order to develop a reliable motion vector re-estimation method that has reasonable computation cost. Based on a statistical analysis of motion compensated prediction errors, we design a basic form of the proposed cost model as a function of distance from the optimal motion vector. Simulations with a transcoder employing the proposed cost model demonstrate a significant quality gain over representative video transcoding schemes with no complexity increase.},
keywords={},
doi={10.1587/transinf.2015EDL8181},
ISSN={1745-1361},
month={March},}
Copy
TY - JOUR
TI - Efficient Motion Vector Re-Estimation Based on a Novel Cost Model for a H.264/AVC Transcoder
T2 - IEICE TRANSACTIONS on Information
SP - 777
EP - 780
AU - Soongi HONG
AU - Yoonsik CHOE
AU - Yong-Goo KIM
PY - 2016
DO - 10.1587/transinf.2015EDL8181
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2016
AB - In transcoding, it is well known that refinement of the motion vectors is critical to enhance the quality of transcoded video while significantly reducing transcoding complexity. This paper proposes a novel cost model to estimate the rate-distortion cost of motion vector composition in order to develop a reliable motion vector re-estimation method that has reasonable computation cost. Based on a statistical analysis of motion compensated prediction errors, we design a basic form of the proposed cost model as a function of distance from the optimal motion vector. Simulations with a transcoder employing the proposed cost model demonstrate a significant quality gain over representative video transcoding schemes with no complexity increase.
ER -
English
