Low-Complexity Intra Coding in Versatile Video Coding

Choi, Kiho; Le, The Van; Choi, Yongho; Lee, Jin Young

doi:10.1109/tce.2022.3145397

Cited by 16 publications

(3 citation statements)

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“…If the RD cost after splitting exceeds a predetermined threshold, further splitting is not feasible. Conversely, if the parent's RD cost is higher, it is permissible to proceed with the split operation [15]. This calculation process in HEVC is difficult which makes the model complex.…”

Section: Introductionmentioning

confidence: 99%

Coding Tree Unit Partition Prediction Algorithm Utilizing Residual AttentionBased Long Short-Term Memory for Video Intra Coding

2024

IJIES

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High-efficiency video coding (HEVC) stands as one of the most extensively employed video coding standards, with the primary encoding challenge revolving around the searching process. To minimize coding complexity of HEVC block partition, a new algorithm is proposed for supporting the partition architecture of coding tree unit (CTU) in intra-coding. In this research, problem of partition architecture decisions of CTU is resolved through two stages. In first phase, the bagged tree method is evaluated for predicting CTU splitting, and in the second phase, the partition issue of 32 × 32 size CU is given as 17 outcome classification. To attain a huge accuracy of prediction, a residual attention-based long short-term memory (LSTM) with parametric rectified linear unit (AT-LSTM-PReLU) is proposed. The proposed method produces a structure of partition quad-tree of CTU that makes multiple decisions at variant depth levels. The performance of proposed method is estimated with a dataset gathered from the joint collaborative team and video coding (JCT-VC). The proposed approach achieved a remarkable bit rate improvement of 3.72%, a significant ∆T enhancement of 97.28%, and minimized video quality degradation by just -0.05dB. These results outperform other deep learning methods like convolutional neural network (CNN), recurrent neural network (RNN), and long short-term memory (LSTM).

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Section: Introductionmentioning

confidence: 99%

Coding Tree Unit Partition Prediction Algorithm Utilizing Residual AttentionBased Long Short-Term Memory for Video Intra Coding

2024

IJIES

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“…The papers accepted for publication in this special issue are briefly described, for more details, the reader may refer to the corresponding paper [5]- [9]. These papers address different aspects to design real time VVC encoders and decoders from tools optimizations [5], [6] for software and hardware VVC decoders, complexity reduction of VVC encoder [7], [9] to the design of real time software VVC encoders [8].…”

mentioning

confidence: 99%

“…Complexity reduction of an intra VVC encoder is tackled in [7]. This paper thoroughly analyzes the performance and complexity of all intra coding tools in VVC and identify the most intensive computational modules.…”

mentioning

confidence: 99%