Low-Complexity Intra Coding in Versatile Video Coding
- Authors
- Choi, Kiho; Van, Le T.; Choi, Yongho; Lee, Jin Young
- Issue Date
- May-2022
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Artificial intelligence; Complexity theory; Decoding; Encoding; High efficiency video coding; Intra coding; low complexity; Standards; Streaming media; super-resolution; versatile video coding (VVC).
- Citation
- IEEE Transactions on Consumer Electronics, v.68, no.2, pp.119 - 126
- Journal Title
- IEEE Transactions on Consumer Electronics
- Volume
- 68
- Number
- 2
- Start Page
- 119
- End Page
- 126
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/84638
- DOI
- 10.1109/TCE.2022.3145397
- ISSN
- 0098-3063
- Abstract
- Versatile Video Coding (VVC) was finalized in 2020 and offered promising coding efficiency with a bitrate reduction of about 50% for same video quality as High Efficiency Video Coding. However, its high encoding complexity is a heavy burden on real-time applications. In particular, the very high complexity in intra coding can be a big barrier into market entry. This paper presents an efficient low-complexity intra coding scheme, which employs downsampling and upsampling processes. The downsampling is simply performed by reducing the resolution of an original video in both horizontal and vertical directions. In the upsampling, convolutional neural network based super-resolution is used to increase the resolution of the reconstructed video. In addition, this paper thoroughly analyzes the performance and complexity of all intra coding tools in VVC. Experimental results demonstrate that the significantly high reduction of the encoding complexity can be achieved with acceptable video quality. IEEE
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