Abstract
Versatile Video Coding (H.266/VVC), the latest international video coding standard, effectively encodes ultra-high-definition video. Compared to the quadtree (QT) split of High Efficiency Video Coding (H.265/HEVC), the quadtree with nested multi-type tree (QT-MTT) structure applying binary tree (BT) and ternary tree (TT) coding blocks in H.266/VVC provides various coding unit (CU) partitions. The functionality improves the compression performance but greatly increases encoding complexity. Therefore, the acceleration of encoding is an essential issue. In this paper, the image feature extracted by edge detection is utilized to make fast decisions about the TT split and direction in the MTT structure of CU. Moreover, the maximum partition depth of the coding tree unit is predicted from the reference frames for the early termination of the encoding process. Experimental results demonstrate that the coding time of the proposed algorithm is reduced while the bitrate is well-maintained under random access configuration. The proposed method significantly outperforms the previous work.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 471-472 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781665470506 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 - Taipei, Taiwan Duration: 2022 Jul 6 → 2022 Jul 8 |
Publication series
| Name | Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 |
|---|
Conference
| Conference | 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 |
|---|---|
| Country/Territory | Taiwan |
| City | Taipei |
| Period | 2022/07/06 → 2022/07/08 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Hardware and Architecture
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Media Technology
- Health Informatics
- Instrumentation
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