Fast Selection of INTRA CTU Partitioning in HEVC Encoders using Artificial Neural Networks

Mateusz Lorkiewicz, Olgierd Stankiewicz, Marek Domanski, Hsueh-Ming Hang, Wen-Hsiao Peng

研究成果: Conference contribution同行評審

摘要

In the intra-frame video coding, an image is divided into small blocks, and the actual coding is performed individually in these blocks. In this paper, the process is considered in the context of the widely used HEVC compression, where the optimum choice of the division is crucial for the ratedistortion performance. Unfortunately, the search for such optimum division needs very many operations, and is done on the basis of 'try and check' approach in the classic implementations. The idea of the paper is to replace this complex part of the encoder by a neural network, and some variants of the potential neural networks are studied and compared in the paper. For the chosen network, the complexity of the encoder is vastly reduced at the cost of negligible loss in the rate-distortion performance. These features are demonstrated using an extensive set of frames from many test video sequences.

原文English
主出版物標題2021 Signal Processing Symposium, SPSympo 2021
發行者Institute of Electrical and Electronics Engineers Inc.
頁面177-182
頁數6
ISBN(電子)9781665412742
DOIs
出版狀態Published - 20 9月 2021
事件2021 Signal Processing Symposium, SPSympo 2021 - Lodz, Poland
持續時間: 20 9月 202123 9月 2021

出版系列

名字2021 Signal Processing Symposium, SPSympo 2021

Conference

Conference2021 Signal Processing Symposium, SPSympo 2021
國家/地區Poland
城市Lodz
期間20/09/2123/09/21

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