Presentation 2018-10-19
Perceptual Quality Driven Adaptive Video Coding for VOD Streaming
Yusuke Sakamoto, Masaru Takeuchi, Shintaro Saika, Tatsuya Nagashima, Zhengxue Cheng, Kenji Kanai, Jiro Katto, Kaijin Wei, Ju Zengwei, Xu Wei,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In video streaming on the Internet, getting a good encoding recipe (i.e. bitrate-resolution pairs) is a main problem to deliver the highest quality video streams. By using multiple bitrate/resolution encoding like MPEG-DASH, video streaming services can deliver the best video stream to a client, under the conditions of the client’s available bandwidth and viewing device capability. However, conventional fixed encoding recipes (i.e. resolution-bitrate pairs) suffer from many problems, such as improper resolution selection and stream redundancy. To avoid these problems, we propose a novel video coding method, which generates multiple representations with constant Just-Noticeable Difference (JND) interval, using a JND scale estimator which we developed with Support Vector Regression (SVR). Experimental results confirm that our proposed method can achieve better rate-JND characteristics than conventional fixed recipe.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Adaptive Video Coding / Just-Noticeable Difference / Perceptual Video Quality / Machine Learning / MPEG-DASH
Paper # IE2018-44
Date of Issue 2018-10-12 (IE)

Conference Information
Committee IE / ITE-ME / ITE-AIT
Conference Date 2018/10/19(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Takayuki Hamamoto(Tokyo Univ. of Science) / Norio Tagawa(Tokyo Metropolitan Univ.) / Nobuhiko Mukai(Tokyo Cisy Univ.)
Vice Chair Hideaki Kimata(NTT) / Kazuya Kodama(NII)
Secretary Hideaki Kimata(KDDI Research) / Kazuya Kodama(Nagoya Univ.)
Assistant Kazuya Hayase(NTT) / Yasutaka Matsuo(NHK)

Paper Information
Registration To Technical Committee on Image Engineering / Technical Group on Media Engineering / Technical Group on Artistic Image Technology
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Perceptual Quality Driven Adaptive Video Coding for VOD Streaming
Sub Title (in English)
Keyword(1) Adaptive Video Coding
Keyword(2) Just-Noticeable Difference
Keyword(3) Perceptual Video Quality
Keyword(4) Machine Learning
Keyword(5) MPEG-DASH
1st Author's Name Yusuke Sakamoto
1st Author's Affiliation Waseda University(Waseda Univ.)
2nd Author's Name Masaru Takeuchi
2nd Author's Affiliation Waseda University(Waseda Univ.)
3rd Author's Name Shintaro Saika
3rd Author's Affiliation Waseda University(Waseda Univ.)
4th Author's Name Tatsuya Nagashima
4th Author's Affiliation Waseda University(Waseda Univ.)
5th Author's Name Zhengxue Cheng
5th Author's Affiliation Waseda University(Waseda Univ.)
6th Author's Name Kenji Kanai
6th Author's Affiliation Waseda University(Waseda Univ.)
7th Author's Name Jiro Katto
7th Author's Affiliation Waseda University(Waseda Univ.)
8th Author's Name Kaijin Wei
8th Author's Affiliation Huawei Technologies Co. Ltd.(Huawei Technologies)
9th Author's Name Ju Zengwei
9th Author's Affiliation Huawei Technologies Co. Ltd.(Huawei Technologies)
10th Author's Name Xu Wei
10th Author's Affiliation Huawei Technologies Co. Ltd.(Huawei Technologies)
Date 2018-10-19
Paper # IE2018-44
Volume (vol) vol.118
Number (no) IE-259
Page pp.pp.1-6(IE),
#Pages 6
Date of Issue 2018-10-12 (IE)