Presentation 2018-09-27
Image Patch Modeling in Encrypted Domain using Sparse Coding
Takayuki Nakachi, Hitoshi Kiya,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Sparse coding represents observed signals effectively as a linear combination of a small number of bases which are chosen from the basis functions trained by the algorithm. The effectiveness of sparse coding for image processing has been confirmed in the areas of image compression, image denoising, and image separation. On the other hand, cloud computing is spreading in many fields. However, the cloud computing has some serious issues for end users, such as unauthorized use and leak of data, and privacy compromise, due to unreliability of providers and some accident. In this manuscript, we propose a secure sparse coding computation. It is shown that the secure sparse coding computation enables us to not only protects observed signals, but also have the same estimation performance as that of sparse coding with unprotected observed signals .
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Sparse Coding / Image Processing / Orthogonal Matching Pursuit (OMP) / Random Unitary Transform / Secure Computation
Paper # LOIS2018-12,IE2018-32,EMM2018-51
Date of Issue 2018-09-20 (LOIS, IE, EMM)

Conference Information
Committee IEE-CMN / EMM / LOIS / IE / ITE-ME
Conference Date 2018/9/27(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Beppu Int'l Convention Ctr. aka B-CON Plaza
Topics (in Japanese) (See Japanese page)
Topics (in English) Multimedia Communication/System, Lifelog Applications, IP Broadcasting/Video Transmission, Media Security, Media Processing (AI, Deep Learning), etc.
Chair Shun Morimura(CRIEPI) / Keiichi Iwamura(TUC) / Tomohiro Yamada(NTT) / Takayuki Hamamoto(Tokyo Univ. of Science) / Miki Haseyama(北大)
Vice Chair / Minoru Kuribayashi(Okayama Univ.) / Tetsuya Kojima(NIT,Tokyo College) / Toru Kobayashi(Nagasaki Univ.) / Hideaki Kimata(NTT) / Kazuya Kodama(NII) / Norio Tagawa(Tokyo Metropolitan Univ.)
Secretary (Tokai Univ.) / Minoru Kuribayashi(Kansai Univ.) / Tetsuya Kojima(NIT, Tokyo) / Toru Kobayashi(Chukyo Univ.) / Hideaki Kimata(NTT) / Kazuya Kodama(Research Organization of Information and Systems) / Norio Tagawa(KDDI Research)
Assistant Tomotaka Kimura(Doshisha Univ.) / 田中 彰浩(CRIEPI) / Hiroko Akiyama(NIT, Nagano College) / Kitahiro Kaneda(CANON) / Shinichiro Eitoku(NTT) / Kazuya Hayase(NTT) / Yasutaka Matsuo(NHK)

Paper Information
Registration To Technical Meeting on Communications / Technical Committee on Enriched MultiMedia / Technical Committee on Life Intelligence and Office Information Systems / Technical Committee on Image Engineering / Technical Group on Media Engineering
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Image Patch Modeling in Encrypted Domain using Sparse Coding
Sub Title (in English)
Keyword(1) Sparse Coding
Keyword(2) Image Processing
Keyword(3) Orthogonal Matching Pursuit (OMP)
Keyword(4) Random Unitary Transform
Keyword(5) Secure Computation
1st Author's Name Takayuki Nakachi
1st Author's Affiliation Nippon Telegraph and Telephone Corporation(NTT)
2nd Author's Name Hitoshi Kiya
2nd Author's Affiliation Tokyo Metropolitan University(Tokyo Metro. Univ.)
Date 2018-09-27
Paper # LOIS2018-12,IE2018-32,EMM2018-51
Volume (vol) vol.118
Number (no) LOIS-222,IE-223,EMM-224
Page pp.pp.13-18(LOIS), pp.13-18(IE), pp.13-18(EMM),
#Pages 6
Date of Issue 2018-09-20 (LOIS, IE, EMM)