Abstract
In this paper, a novel screen content (SC) transcoding framework is presented to efficiently bridge High Efficiency Video Coding (HEVC) and its Screen Content Coding (SCC) extension and support the bitstream backward-compatibility over legacy HEVC devices. Based on the side information analysis of SCC bit-stream, fast mode and partition heuristics are designed to accurately determine the mapping between novel SCC modes and conventional HEVC modes. Compared with the trivial SCC-HEVC transcoding solution, the proposed framework achieves a 42% re-encoding complexity reduction over standard JCT-VC screen content sequences with only 0.52% negligible BD-Rate loss under All-Intra (AI) configuration.
| Original language | English (US) |
|---|---|
| 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 |
| Volume | 2018-January |
| ISBN (Electronic) | 9781538604625 |
| DOIs | |
| State | Published - Feb 28 2018 |
| Event | 2017 IEEE Visual Communications and Image Processing, VCIP 2017 - St. Petersburg, United States Duration: Dec 10 2017 → Dec 13 2017 |
Other
| Other | 2017 IEEE Visual Communications and Image Processing, VCIP 2017 |
|---|---|
| Country | United States |
| City | St. Petersburg |
| Period | 12/10/17 → 12/13/17 |
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Keywords
- Fast Mode Decision
- High Efficiency Video Coding (HEVC)
- Mode Mapping
- Screen Content Coding (SCC)
- Video Transcoding
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing
Cite this
HEVC-compliant screen content transcoding based on mode mapping and fast termination. / Duanmu, Fanyi; Xu, Meng; Wang, Yao; Ma, Zhan.
2017 IEEE Visual Communications and Image Processing, VCIP 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-4.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - HEVC-compliant screen content transcoding based on mode mapping and fast termination
AU - Duanmu, Fanyi
AU - Xu, Meng
AU - Wang, Yao
AU - Ma, Zhan
PY - 2018/2/28
Y1 - 2018/2/28
N2 - In this paper, a novel screen content (SC) transcoding framework is presented to efficiently bridge High Efficiency Video Coding (HEVC) and its Screen Content Coding (SCC) extension and support the bitstream backward-compatibility over legacy HEVC devices. Based on the side information analysis of SCC bit-stream, fast mode and partition heuristics are designed to accurately determine the mapping between novel SCC modes and conventional HEVC modes. Compared with the trivial SCC-HEVC transcoding solution, the proposed framework achieves a 42% re-encoding complexity reduction over standard JCT-VC screen content sequences with only 0.52% negligible BD-Rate loss under All-Intra (AI) configuration.
AB - In this paper, a novel screen content (SC) transcoding framework is presented to efficiently bridge High Efficiency Video Coding (HEVC) and its Screen Content Coding (SCC) extension and support the bitstream backward-compatibility over legacy HEVC devices. Based on the side information analysis of SCC bit-stream, fast mode and partition heuristics are designed to accurately determine the mapping between novel SCC modes and conventional HEVC modes. Compared with the trivial SCC-HEVC transcoding solution, the proposed framework achieves a 42% re-encoding complexity reduction over standard JCT-VC screen content sequences with only 0.52% negligible BD-Rate loss under All-Intra (AI) configuration.
KW - Fast Mode Decision
KW - High Efficiency Video Coding (HEVC)
KW - Mode Mapping
KW - Screen Content Coding (SCC)
KW - Video Transcoding
UR - http://www.scopus.com/inward/record.url?scp=85050646415&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050646415&partnerID=8YFLogxK
U2 - 10.1109/VCIP.2017.8305056
DO - 10.1109/VCIP.2017.8305056
M3 - Conference contribution
AN - SCOPUS:85050646415
VL - 2018-January
SP - 1
EP - 4
BT - 2017 IEEE Visual Communications and Image Processing, VCIP 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -