Details
| Original language | English |
|---|---|
| Title of host publication | 2017 IEEE Visual Communications and Image Processing, VCIP 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1-4 |
| Number of pages | 4 |
| ISBN (electronic) | 9781538604625 |
| ISBN (print) | 978-1-5386-0463-2 |
| Publication status | Published - 2 Jul 2017 |
| Event | 2017 IEEE Visual Communications and Image Processing, VCIP 2017 - St. Petersburg, United States Duration: 10 Dec 2017 → 13 Dec 2017 |
Abstract
The High Efficiency Video Coding (HEVC) standard provides superior coding efficiency compared to its predecessors. Nevertheless, the encoding of complex and thus hardly to predict textures either requires high bit rates or results in low quality of the reconstructed signal. To compensate for this limitation of HEVC, we propose a sophisticated texture synthesis framework which solves multiple lacks of previous texture synthesis approaches. By easing the bit rate cost for synthesizable regions and reallocating the freed bit rate resources to non-synthesizable regions, for high-value soccer content we are able to achieve average BD-rate gains of 21.9% for all-intra, 17.6% for low delay, and 16.3% for random access, respectively, while maintaining the same objective quality for the latter. Subjective tests for the synthesizable regions confirm the objectively measured convincing results. The general applicability of our method is confirmed for other types of content.
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
- Computer Science(all)
- Signal Processing
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2017 IEEE Visual Communications and Image Processing, VCIP 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-4.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Extending HEVC using texture synthesis
AU - Wandt, Bastian
AU - Laude, Thorsten
AU - Liu, Yiqun
AU - Rosenhahn, Bodo
AU - Ostermann, Jörn
PY - 2017/7/2
Y1 - 2017/7/2
N2 - The High Efficiency Video Coding (HEVC) standard provides superior coding efficiency compared to its predecessors. Nevertheless, the encoding of complex and thus hardly to predict textures either requires high bit rates or results in low quality of the reconstructed signal. To compensate for this limitation of HEVC, we propose a sophisticated texture synthesis framework which solves multiple lacks of previous texture synthesis approaches. By easing the bit rate cost for synthesizable regions and reallocating the freed bit rate resources to non-synthesizable regions, for high-value soccer content we are able to achieve average BD-rate gains of 21.9% for all-intra, 17.6% for low delay, and 16.3% for random access, respectively, while maintaining the same objective quality for the latter. Subjective tests for the synthesizable regions confirm the objectively measured convincing results. The general applicability of our method is confirmed for other types of content.
AB - The High Efficiency Video Coding (HEVC) standard provides superior coding efficiency compared to its predecessors. Nevertheless, the encoding of complex and thus hardly to predict textures either requires high bit rates or results in low quality of the reconstructed signal. To compensate for this limitation of HEVC, we propose a sophisticated texture synthesis framework which solves multiple lacks of previous texture synthesis approaches. By easing the bit rate cost for synthesizable regions and reallocating the freed bit rate resources to non-synthesizable regions, for high-value soccer content we are able to achieve average BD-rate gains of 21.9% for all-intra, 17.6% for low delay, and 16.3% for random access, respectively, while maintaining the same objective quality for the latter. Subjective tests for the synthesizable regions confirm the objectively measured convincing results. The general applicability of our method is confirmed for other types of content.
UR - http://www.scopus.com/inward/record.url?scp=85050678004&partnerID=8YFLogxK
U2 - 10.1109/vcip.2017.8305034
DO - 10.1109/vcip.2017.8305034
M3 - Conference contribution
AN - SCOPUS:85050678004
SN - 978-1-5386-0463-2
SP - 1
EP - 4
BT - 2017 IEEE Visual Communications and Image Processing, VCIP 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Visual Communications and Image Processing, VCIP 2017
Y2 - 10 December 2017 through 13 December 2017
ER -