Details
| Original language | English |
|---|---|
| Title of host publication | 2018 Picture Coding Symposium |
| Subtitle of host publication | PCS 2018 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 6-10 |
| Number of pages | 5 |
| ISBN (print) | 9781538641606 |
| Publication status | Published - 5 Sept 2018 |
| Event | 33rd Picture Coding Symposium, PCS 2018 - San Francisco, United States Duration: 24 Jun 2018 → 27 Jun 2018 |
Abstract
Transform coding and quantization are part of the cornerstones in the current High Efficiency Video Coding (HEVC) standard. They are applied on the residuals from inter-frame or intra predictions. With specified transform matrices, HEVC enhances the coding efficiency vastly compared to Advanced Video Coding (AVC). However, there is still room for improvement. It is observed that the coding of transform coefficients occupies the majority of the bit rate in the stream, since transform matrices in HEVC can not offer the best energy compaction for prediction errors, especially for diagonal features. We introduce scene-based Karhunen-Loeve transform (KLT) in place of the conventional transform for the intra-predicted data for 8 × 8 and 16 × 16 Transform Units (TU). The transform matrices are adaptively designed and later applied according to the prediction modes, quantization steps as well as sizes. The simulation shows great prospect of reducing the bit rate further with KLT, as we gain 3.23%, 7.18% and 6.25% in terms of BD-Rate against HM-16.15 on average for class B, class C and BVI textures respectively, with All-Intra configuration.
Keywords
- HEVC, KLT, Transform coding
ASJC Scopus subject areas
- Computer Science(all)
- Signal Processing
- Engineering(all)
- Media Technology
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2018 Picture Coding Symposium: PCS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 6-10 8456240.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Scene-based KLT for Intra Coding in HEVC
AU - Liu, Yiqun
AU - Ostermann, Jörn
PY - 2018/9/5
Y1 - 2018/9/5
N2 - Transform coding and quantization are part of the cornerstones in the current High Efficiency Video Coding (HEVC) standard. They are applied on the residuals from inter-frame or intra predictions. With specified transform matrices, HEVC enhances the coding efficiency vastly compared to Advanced Video Coding (AVC). However, there is still room for improvement. It is observed that the coding of transform coefficients occupies the majority of the bit rate in the stream, since transform matrices in HEVC can not offer the best energy compaction for prediction errors, especially for diagonal features. We introduce scene-based Karhunen-Loeve transform (KLT) in place of the conventional transform for the intra-predicted data for 8 × 8 and 16 × 16 Transform Units (TU). The transform matrices are adaptively designed and later applied according to the prediction modes, quantization steps as well as sizes. The simulation shows great prospect of reducing the bit rate further with KLT, as we gain 3.23%, 7.18% and 6.25% in terms of BD-Rate against HM-16.15 on average for class B, class C and BVI textures respectively, with All-Intra configuration.
AB - Transform coding and quantization are part of the cornerstones in the current High Efficiency Video Coding (HEVC) standard. They are applied on the residuals from inter-frame or intra predictions. With specified transform matrices, HEVC enhances the coding efficiency vastly compared to Advanced Video Coding (AVC). However, there is still room for improvement. It is observed that the coding of transform coefficients occupies the majority of the bit rate in the stream, since transform matrices in HEVC can not offer the best energy compaction for prediction errors, especially for diagonal features. We introduce scene-based Karhunen-Loeve transform (KLT) in place of the conventional transform for the intra-predicted data for 8 × 8 and 16 × 16 Transform Units (TU). The transform matrices are adaptively designed and later applied according to the prediction modes, quantization steps as well as sizes. The simulation shows great prospect of reducing the bit rate further with KLT, as we gain 3.23%, 7.18% and 6.25% in terms of BD-Rate against HM-16.15 on average for class B, class C and BVI textures respectively, with All-Intra configuration.
KW - HEVC
KW - KLT
KW - Transform coding
UR - http://www.scopus.com/inward/record.url?scp=85053873883&partnerID=8YFLogxK
U2 - 10.1109/pcs.2018.8456240
DO - 10.1109/pcs.2018.8456240
M3 - Conference contribution
AN - SCOPUS:85053873883
SN - 9781538641606
SP - 6
EP - 10
BT - 2018 Picture Coding Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 33rd Picture Coding Symposium, PCS 2018
Y2 - 24 June 2018 through 27 June 2018
ER -