Convolutional Neural Network-Based Arithmetic Coding for HEVC Intra-Predicted Residues

Entropy coding is a fundamental technology in video coding that removes statistical redundancy among syntax elements. In high efficiency video coding (HEVC), context-adaptive binary arithmetic coding (CABAC) is adopted as the primary entropy coding method. The CABAC consists of three steps: binariza...

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Bibliographic Details
Published in:	IEEE transactions on circuits and systems for video technology Vol. 30; no. 7; pp. 1901 - 1916
Main Authors:	Ma, Changyue, Liu, Dong, Peng, Xiulian, Li, Li, Wu, Feng
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.07.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Arithmetic coding Artificial neural networks Binary codes Codec Coefficients Context Context modeling context-adaptive binary arithmetic coding (CABAC) convolutional neural network-based arithmetic coding (CNNAC) Convolutional neural networks Entropy Entropy coding Estimation high efficiency video coding (HEVC) intra-predicted residues Neural networks Reduction Redundancy Residues Statistical analysis Syntactics Syntax Video coding Video compression
ISSN:	1051-8215, 1558-2205
Online Access:	Get full text
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