Presentation 2021-02-18
Production and Evaluation of Data Set for Semantic Segmentation of 3D CG Image by H.265/HEVC
Norifumi Kawabata,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) As one of purpose of study on image segmentation, we are able to consider whether between object and background region can be judged or not. Thus far, we studied on multi-view 3D CG image quality assessment in the case of occurring the coded degradation for object or background region with 8 viewpoints parallax barrier method. As a result, it is enough to obtain knowledge for subjective quality assessment. However, for objective quality assessment, this is estimation by using data mining. On the other hand, by spreading of deep learning theory, we are able to use deep convolutional neural network easier comparatively. In this paper, we produced, proposed, evaluated, and discussed for data set and platform appropriately in order to carry out semantic segmentation with high efficiency of 3D CG images encoded and decoded by H.265/HEVC.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Learning Data / Evaluation Data / H.265/HEVC / JPEG / Deep Convolutional Neural Network / Semantic Segmentation / Confusion Matrix / Intersection over Union (IoU)
Paper # ITS2020-30,IE2020-44
Date of Issue 2021-02-11 (ITS, IE)

Conference Information
Committee IE / ITS / ITE-MMS / ITE-ME / ITE-AIT
Conference Date 2021/2/18(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Image Processing, etc.
Chair Hideaki Kimata(NTT) / Tomotaka Wada(Kansai Univ.) / Kenji Machida(NHK) / Hiroyuki Arai(Nippon Inst. of Tech.) / Nobuhiko Mukai(Tokyo City Univ.)
Vice Chair Kazuya Kodama(NII) / Keita Takahashi(Nagoya Univ.) / Yusuke Takatori(Kanagawa Inst. of Tech.) / Hiroyuki Hatano(Mie Univ.) / / Shogo Muramatsu(Niigata Univ.) / Hisaki Nate(Tokyo Polytechnic Univ.)
Secretary Kazuya Kodama(KDDI Research) / Keita Takahashi(Nagoya Inst. of Tech.) / Yusuke Takatori(Univ. of Tokyo) / Hiroyuki Hatano(Akita Prefectural Univ.) / (Fukuoka Univ.) / Shogo Muramatsu(NHK) / Hisaki Nate(Hokkaido Univ.)
Assistant Shunsuke Iwamura(NHK) / Shinobu Kudo(NTT) / Msataka Imao(Mitsubishi Electric) / Yanlei Gu(Ritsumeikan Univ.) / Kenshi Saho(Toyama Prefectural Univ.)

Paper Information
Registration To Technical Committee on Image Engineering / Technical Committee on Intelligent Transport Systems Technology / Technical Group on Multi-media Storage / 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) Production and Evaluation of Data Set for Semantic Segmentation of 3D CG Image by H.265/HEVC
Sub Title (in English)
Keyword(1) Learning Data
Keyword(2) Evaluation Data
Keyword(3) H.265/HEVC
Keyword(4) JPEG
Keyword(5) Deep Convolutional Neural Network
Keyword(6) Semantic Segmentation
Keyword(7) Confusion Matrix
Keyword(8) Intersection over Union (IoU)
1st Author's Name Norifumi Kawabata
1st Author's Affiliation Tokyo University of Science(Tokyo Univ. of Science)
Date 2021-02-18
Paper # ITS2020-30,IE2020-44
Volume (vol) vol.120
Number (no) ITS-363,IE-364
Page pp.pp.19-24(ITS), pp.19-24(IE),
#Pages 6
Date of Issue 2021-02-11 (ITS, IE)