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Hierarchical-P reference picture selection based error resilient video coding framework for high efficiency video coding transmission applications

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/74496

Title: Hierarchical-P reference picture selection based error resilient video coding framework for high efficiency video coding transmission applications
Authors: Maung, Htoo Maung Browse this author
Aramvith, Supavadee Browse this author
Miyanaga, Yoshikazu Browse this author →KAKEN DB
Keywords: HEVC
Video coding
Error resilient coding
Error propagation
Wireless video transmission
Video communications
Reference picture selection
Issue Date: 11-Mar-2019
Publisher: MDPI
Journal Title: Electronics
Volume: 8
Issue: 3
Start Page: 310
Publisher DOI: 10.3390/electronics8030310
Abstract: In this paper, a new reference picture selection (RPS) is proposed for a high efficiency video coding (HEVC) framework. In recent studies, HEVC has been shown to be sensitive to packet error which is unavoidable in transmission applications especially for wireless networks. RPS is an effective error resilient technique for video transmission systems where a feedback channel with short round trip delay time is available. However, its procedure cannot directly apply to the HEVC framework and thus this paper expands it. In RPS, error propagation can still happen during round trip delay time. To alleviate the effect of error propagation for better quality, the proposed algorithm considers both the RPS technique and the region-based intra mode selection method by using some novel features of HEVC. Experimental results demonstrate that the proposed method outperforms the hierarchical-P RPS algorithm in terms of PSNR and other metrics. The average PSNR improvement of the proposed algorithm over the reference algorithm under 10% packet error rate is 1.56 dB for 1080p sequences, 2.32 dB for 720p sequences and 1.01 dB for wide video graphics array (WVGA) sequences, respectively. The performance of proposed method is also tested for applications where feedback information is not available. The proposed method shows noticeable improvement for video sequences that contain low or moderate level of motions.
Rights: https://creativecommons.org/licenses/by/4.0/
Type: article
URI: http://hdl.handle.net/2115/74496
Appears in Collections:情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
国際連携研究教育局 : GI-CoRE (Global Institution for Collaborative Research and Education : GI-CoRE) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 宮永 喜一

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