The 2nd Hosei University IIST International Colloquium

Introduction of the Research Projects on
Integrated Science and Technology at
Hosei University
第 2 回法政大学 IIST 国際コロキウム

法政大学 IIST における総合理工学研究プロジェクト紹介
This colloquium is to introduce current research projects on integrated science and engineering at
IIST, Hosei University. Part 1 of the colloquium will introduce selected projects of IIST doctoral andmaster’s students. The researches of two IIST faculties will be presented in the Part 2 of thecolloquium. Professor Capi will be introducing his research on assistive robotics and Professor Zhouwill present her research on multimedia coding theory and practice.
本コロキウムは法政大学 IIST における研究プロジェクトの紹介を目的としている。第一部
では IIST 在籍の博士、修士課程の学生により植物医科学をテーマとした研究プロジェクトが紹介される。第二部では教員の研究紹介を行う。チャピ教授の支援ロボットに関する研究紹介、及び周准教授によるマルチメディアコーディングの理論と実査について発表がある。
Date and Time: 9:30-11:30 a.m. Mar. 1st, 2017
日時: 2017 年 3 月 1 日 午前 9:30-11:30
Venue: Multimedia Hall, B1F Building West, Hosei University Koganei Campus
3-7-2 Kajino cho, Koganei City, Tokyo 184-8584 JAPAN
会場: 法政大学,小金井キャンパス, 西館地下 1F マルチメディアホール
〒184-8584 東京都小金井市梶野町 3-7-2
JR 東小金井駅より徒歩 10 分 http://www.hosei.ac.jp/access/koganei.html

Host: Hosei University IIST: Institute of Integrated Science and Technology
主催: 法政大学・ IIST (総合理工学インスティチュート)PROGRAM (プログラム)

09:30-09:35

OPENING MESSAGE (開会の辞)
Prof. Kazuo Yana, Vice President, Hosei University

SESSION 1（第一部）
09:35-09:55 Cap Huu Quan and Erila Fujita(1st Year Master Students, IIST, Hosei Univ.)

Leaf image classification by the deep learning technology for the plant clinical diagnoses【ディープラーニング技術を用いた葉の画像診断による植物病診断】
09:55-10:15 Truong Hong Hanh (2nd Year Doctral Student, IIST, Hosei Univ.),
Title TBD
【演題未定】
10:15-10:30

INTERMISSION (休憩)SESSION 2（第二部）

10:30-10:55
Prof. Jinjia Zhou,( IIST, Hosei University)
A 4Gpixel/s 8/10b H.265/HEVC Video Decoder Chip for 8K Ultra HD Applications【8K 超高解像度 H265/HEVC ビデオデコーディングチップ】
10:55-11:20
Prof. Genci Capi, (Robotics Eng., Hosei Univ.)Intelligent Assistive Robots Operating in Real Environments (Video Presentation)【知的福祉ロボットの実用化例】
11:20-11:30
CONCLUDING REMARKS (閉会の辞)
Prof. Nguyen Ngoc Binh, VNU Univ. of Engineering and Technology (VNU-UET).

Assoc. Prof. Jinjia Zhou,( IIST, Hosei University)
A 4Gpixel/s 8/10b H.265/HEVC Video Decoder Chip for 8K Ultra HD Applications【8K 超高解像度 H265/HEVC ビデオデコードチップ】
ABSTRACT: 8K Ultra HD is being promoted as the next-generation
digital video format. From a communication channel perspective, thelatest high-efficiency video coding standard (H.265/HEVC) greatly
enhances the feasibility of 8K by doubling the compression ratio.
Implementation of such codecs is a challenge, owing to ultrahighthroughput requirements and increased complexity per pixel. The
former corresponds to up to 10b/pixel, 7680×4320pixels/frame and120fps – 80× larger than 1080p HD. The latter comes from the newfeatures of HEVC relative to its predecessor H.264/AVC. The mostchallenging of them is the enlarged and highly variable-size coding/prediction/transform units(CU/PU/TU), which significantly increase: 1) the requirement for on-chip memory as pipelinebuffers, 2) the difficulty in maintaining pipeline utilization, and 3) the complexity of inverse
transforms (IT). This talk presents an HEVC decoder chip supporting 8K Ultra HD, featuring a
16pixel/cycle true-variable-block-size system pipeline. The pipeline: 1) saves on-chip memory with anovel block-in-block-out (BIBO) queue system and a parameter delivery network, and 2) allows highdesign efficiency and utilization of processing components through local synchronization. Key
optimizations at the component level are also presented.
BIOSKETCH: Jinjia Zhou received B.E. degree from Shanghai Jiao Tong University, China, in2007. She received M.E. and Ph.D. degrees from Waseda University, Japan, in 2010 and 2013,respectively. From 2013 to 2016, she was a junior researcher with Waseda University, Fukuoka,
Japan. Currently she is an Associate Professor with Hosei University, Tokyo, Japan. Her interests arein algorithms and VLSI architectures for multimedia signal processing, especially in low-powerhigh-performance VLSI design for video codecs including H.265/HEVC (High Efficiency VideoCoding) and H.264/AVC. Dr. Zhou received the research fellowship of the Japan Society for thePromotion of Science during 2010-2013. She is a recipient of the Chinese Government Award for
Outstanding Students Abroad of 2012. Dr. Zhou received the Hibikino Best Thesis Award in 2011.
She was a co-recipient of the best student paper award of VLSI Circuits Symposium 2010 and thedesign contest award of ACM ISLPED 2010. She participated the design of the world first 8K
UHDTV video decoder chip, which was granted the 2012 Semiconductor of the Year Award of Japan.
She works as a reviewer for journals including IEEE Trans. Circuits Syst. Video Tech., IEEE Trans.
Circuits Syst. I, IEEE Trans. VLSI Syst., and IEEE Trans. Multimedia. This talk was given at IEEE
International Solid-State Circuits Conference (ISSCC 2016). The paper related to this talk received
the ISSCC 2016 Takuo Sugano Award for Outstanding Far-East Paper.

Prof. Genci Capi, (Robotics Eng., Hosei Univ.)Intelligent Assistive Robots Operating in Real Environments (Video Presentation)
ABSTRACT: Soon robots are expected to operate in our homes,
hospitals and offices. Therefore, they have to process multiple sensors
data and adapt the policy as the environment changes. In this talk, I
will overview the existing efforts including our attempts at creating
intelligent robots operating in everyday life environments. In particular,
I will focus on remotely operating surveillance robot, robot navigationin urban environments, and assistive humanoid robot. I will show
experimental results that demonstrate the effectiveness of proposed
algorithms.
BIOSKETCH: Genci Capi received the Ph.D. degree from Yamagata University, in 2002. He was aResearcher at the Department of Computational Neurobiology, ATR Institute from 2002 to 2004. In2004, he joined the Department of System Management, Fukuoka Institute of Technology, as an
Assistant Professor, and in 2006, he was promoted to Associate Professor. He was a Professor in theDepartment of Electrical and Electronic Systems Engineering, University of Toyama up to March2016. Now he is a Professor in the Department of Mechanical Engineering, Hosei University. His
research interests include intelligent robots, BMI, multi robot systems, humanoid robots, learningand evolution. Dr. Capi is a recipient of the Excellent Paper Award of 7-th International Conference
on Production Engineering, Design and Control, Alexandria, 2001; Highly Commended Award for"Real Time Generation of Humanoid Robot Optimal Gait for Going Upstars Using Intelligent
Algorithms" Industrial Robot - An International Journal Vol. 28, No. 6, 2001; Best Paper Award ofInternational Conference on Artificial Life and Robotics, 2007; Best Innovation Award ofICAME2010, 2010; Excellence in Research Journal Award of Journal of Information TechnologyResearch, 2011. He is a leading organizer of the annual IEEE International Symposium on Roboticsand Intelligent Sensors and IEEE the IEEE International Robot PRIDE Competition.