Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81655
PIRA download icon_1.1View/Download Full Text
Title: Efficient intra bitrate transcoding for screen content coding based on convolutional neural network
Authors: Kuang, W 
Chan, YL 
Tsang, SH 
Issue Date: 2019
Source: IEEE access, 2019, v. 7, p. 107211-107224
Abstract: The Screen Content Coding (SCC) extension of High Efficiency Video Coding (HEVC) is developed to improve the coding efficiency of screen content videos. To meet the diverse network requirement of different clients, bitrate transcoding for SCC is desired. This problem can be solved by a conventional brute-force transcoder (CBFT) which concatenates an original decoder and an original encoder. However, it induces high computational complexity associated with the re-encoding part of CBFT. This paper presents a convolutional neural network based bitrate transcoder (CNN-BRT) for SCC. By utilizing information from both the decoder side and the encoder side, CNN-BRT makes a fast prediction for all coding units (CUs) of a coding tree unit (CTU) in a single test. At the decoder side, decoded optimal mode maps that reflect the optimal modes and CU partitions in a CTU is derived. At the encoder side, the raw samples in a CTU are collected. Then, they are fed to CNN-BRT to make a fast prediction. To imitate the optimal mode selection in the original re-encoding part, CNN-BRT involves a loss function that takes both of the sub-optimal modes and the final optimal modes into consideration. Compared with the HEVC-SCC reference software SCM-3.0, the proposed CNN-BRT reduces encoding time by 54.86% on average with a negligible Bjontegaard delta bitrate increase of 1.01% under all-intra configuration.
Keywords: Transcoding
Screen content coding (SCC)
Fast algorithm
Convolutional neural network
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE access 
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2019.2933029
Rights: This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0
The following publication W. Kuang, Y. Chan and S. Tsang, "Efficient Intra Bitrate Transcoding for Screen Content Coding Based on Convolutional Neural Network," in IEEE Access, vol. 7, pp. 107211-107224, 2019 is available at https://dx.doi.org/10.1109/ACCESS.2019.2933029
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Kuang_Intra_Bitrate_Transcoding.pdf3.54 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

49
Citations as of May 15, 2022

Downloads

47
Citations as of May 15, 2022

SCOPUSTM   
Citations

4
Citations as of May 12, 2022

WEB OF SCIENCETM
Citations

4
Citations as of May 12, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.