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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 55  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP 2020-08-28
10:30
Online Online Improvement Convergence Rate of the Sign Algorithm by Natural Gradient Method
Taiyo Mineo, Hayaru Shouno (UEC) SIP2020-34
In lossless audio compression, it is essential to predictive residuals to be sparse, since we apply entropy codings to r... [more] SIP2020-34
pp.19-24
IT, EMM 2020-05-28
15:25
Online Online An Autoregressive Image Generative Model and the Bayes Code for It
Yuta Nakahara, Toshiyasu Matsushima (Waseda Univ.) IT2020-4 EMM2020-4
In this paper, we propose an autoregressive stochastic generative model for images.
This model should be one of the mos... [more]
IT2020-4 EMM2020-4
pp.19-24
ITE-BCT, SIS 2019-10-25
10:50
Fukui Fukui International Activities Plaza A lossless predictive coding of floating-point data using L1-norm optimization
Syusuke Kohara, Shinji Fukuma, Shin-ichiro mori (Univ. FUKUI) SIS2019-20
(To be available after the conference date) [more] SIS2019-20
pp.73-76
IT, ISEC, WBS 2019-03-07
09:30
Tokyo University of Electro-Communications Analysis of Zero-Redundancy Estimator with a Finite Window for Markovian Source -- When the Statewise Alphabets are Unknown --
Yusuke Hashimoto, Tstutomu Kawabata (Univ. of Electro-Comm.) IT2018-89 ISEC2018-95 WBS2018-90
A Bayesian (Laplace or Krichevski-Trofimov) estimator for Markov source can be used to build a lossless
source code. Ho... [more]
IT2018-89 ISEC2018-95 WBS2018-90
pp.85-90
NLP 2018-08-08
15:25
Kagawa Saiwai-cho Campus, Kagawa Univ. Hierarchical Lossless Image Coding Using CNN Predictors Optimized by Adaptive Differential Evolution
Yuki Kawai, Yuki Nagano, Hideharu Toda, Hisashi Aomori (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Ichiro Matsuda, Susumu Itoh (TUS) NLP2018-59
We have been proposed on hierarchical lossless image coding using predictors composed of Cellular Neural Network(CNN).Th... [more] NLP2018-59
pp.35-38
SIS, IPSJ-AVM 2017-10-12
13:40
Nara Todaiji Culture Center A New Method of Lossless Coding for Binary Holographic Interference Fringes
Takahiro Nishigaito, Mitsuji Muneyasu, Kyoji Matsushima, Soh Yoshida (Kansai Univ.), Akira Taguchi (Tokyo City Univ.) SIS2017-23
Computer generating holography (CGH) is one of the promising 3D imaging techniques. However the resolution of holographi... [more] SIS2017-23
pp.13-16
NLP 2017-03-14
11:15
Aomori Nebuta Museum Warasse Hierarchical Lossless Image Coding using Inheritance of Predictor-Prototypes and Designing of CNN Predictors based on Estimate of Coding Bits
Hideharu Toda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Ichiro Matsuda, Susumu Itoh (TUS), Hisashi Aomori (Chukyo Univ.) NLP2016-109
We proposed a hierarchical lossless image coding method using cellular neural network (CNN). It performs adaptive multi ... [more] NLP2016-109
pp.19-24
IT, EMM 2016-05-20
10:40
Hokkaido Otaru Economic Center A Grammar-Based Data Compression Algorithm Using Chomsky Normal Form of Context Free Grammar
Mitsuharu Arimura (Shonan Inst. Tech.) IT2016-12 EMM2016-12
This paper proposes a new class of grammar-based lossless source code. For the simplicity, a Semi-Chomsky Normal Form (s... [more] IT2016-12 EMM2016-12
pp.69-74
IT, EMM 2016-05-20
11:05
Hokkaido Otaru Economic Center Construction of A Two-Step Universal VV Code Using a Sufficient Statistic Extracted from a VF Code
Mitsuharu Arimura (Shonan Inst. Tech.), Hiroshi Nagaoka (Univ. of Electro-Communications) IT2016-13 EMM2016-13
In this paper, some theorems which give relationships between a sufficient statistic and the universality of a VV source... [more] IT2016-13 EMM2016-13
pp.75-80
PRMU, IE, MI, SIP 2016-05-20
15:40
Aichi   Multi-hypothesis Pixel Predictor using Cartesian Genetic Programming
Yiding Zhao, Seishi Takamura (NTT) SIP2016-33 IE2016-33 PRMU2016-33 MI2016-33
In lossless image coding, pixel prediction plays an important role in utilizing adjacent pixel values to reduce residual... [more] SIP2016-33 IE2016-33 PRMU2016-33 MI2016-33
pp.173-178
EMM 2016-03-02
15:40
Kagoshima Yakushima Environ. and Cultural Vill. Center [Poster Presentation] A Perceptual Encryption Scheme for Lossless Image Coding Based on Visual Difficulty
Yuya Nakao, Shoko Imaizumi, Naokazu Aoki (Chiba Univ.) EMM2015-85
We propose an extended perceptual encryption scheme for lossless image coding in this paper. The proposed method improve... [more] EMM2015-85
pp.51-56
SIS, IPSJ-AVM 2015-09-03
14:00
Osaka Kansai Univ. A Study on Lossless coding for Binary Holographic Interference Fringes
Takahiro Nishigaito, Mitsuji Muneyasu, Kyoji Matsushima (Kansai Univ.), Akira Taguchi (Tokyo City Univ.) SIS2015-19
This paper studies a compression technique for binary holographic interference fringes. Computer generating holography i... [more] SIS2015-19
pp.25-30
IT 2015-07-13
11:15
Tokyo Tokyo Institute of Technology An Improvement on the Almost Sure Convergence Coding Theorems of One-shot and Multi-shot Tunstall Codes
Mitsuharu Arimura (Shonan Inst. Tech.) IT2015-20
Almost sure convergence coding theorem have been proved for one-shot and multi-shot Tunstall codes. In the theorems, it ... [more] IT2015-20
pp.17-22
SIS 2015-06-09
11:30
Nagasaki Arkas SASEBO Layered Lossless Video Coding based on Distributed Source Coding Theorem
Takayuki Nakachi, Tatsuya Fujii (NTT) SIS2015-13
The distributed source coding (DSC) theorem concerns encoding of correlated information sources, without letting the sou... [more] SIS2015-13
pp.69-74
CAS, SIP, MSS, VLD, SIS [detail] 2014-07-10
09:50
Hokkaido Hokkaido University Near-lossless image coding considering the influence of re-encoding
Hiroyuki Kobayashi (Tokyo Metro. Coll. of Ind. of Tech.), Masahiro Iwahashi (Nagaoka Univ. of Tech.), Hitoshi Kiya (Tokyo Metro. Univ.) CAS2014-22 VLD2014-31 SIP2014-43 MSS2014-22 SIS2014-22
This report proposes a new quantization method, called zero-skip quantization and a near-lossless coding method based on... [more] CAS2014-22 VLD2014-31 SIP2014-43 MSS2014-22 SIS2014-22
pp.111-116
IE, ITE-AIT, ITE-ME [detail] 2013-11-25
14:50
Fukuoka Kurume National College of Technology Improvement of PNG compression using an optimal filter selection and color space transformation
Teppei Takahashi, Akira Kubota (Chuo Univ.) IE2013-63
In this paper, we propose an optimal filter selection to improve PNG (Portable Network Graphics) compression.
PNG encod... [more]
IE2013-63
pp.9-12
SIP 2013-08-30
13:00
Tokyo Tokyo University of Agriculture and Technology DCT-Lifting Factorization of Fast Lapped Transform
Taizo Suzuki, Hiroyuki Kudo (Univ. of Tsukuba) SIP2013-80
This paper presents a new realization of integer fast lapped transform (LT) with DCT-lifting structure which block-lifti... [more] SIP2013-80
pp.73-77
SIP, CAS, MSS, VLD 2013-07-11
11:20
Kumamoto Kumamoto Univ. A near lossless coding method based on histogram packing and quantization in the spatial domain
Hiroyuki Kobayashi (Tokyo Metro. Coll. of Ind. of Tech.), Masahiro Iwahashi (Nagaoka Univ. of Tech.), Hitoshi Kiya (Tokyo Metro. Univ.) CAS2013-8 VLD2013-18 SIP2013-38 MSS2013-8
This paper proposes a near lossless coding method based on histogram packing and quantization in the spatial domain.
B... [more]
CAS2013-8 VLD2013-18 SIP2013-38 MSS2013-8
pp.43-48
SIP, CAS, CS 2013-03-14
13:50
Yamagata Keio Univ. Tsuruoka Campus (Yamagata) Lossless Compression of High Dynamic Range Images Encoded in 32-bit RGBE Format by Simple Bitplane Coding
Toshinori Fukumoto, Junghyeun Hwang, Hisakazu Kikuchi (Niigata univ.), Kazuma Shinoda (Utsunomiya univ.), Masahiro Okuda (City Univ. of Kitakyushu) CAS2012-104 SIP2012-135 CS2012-110
A method of lossless compression of high dynamic range (HDR) images encoded in 32-bit RGBE format is presented. Simple b... [more] CAS2012-104 SIP2012-135 CS2012-110
pp.45-50
IT, ISEC, WBS 2013-03-07
13:40
Osaka Kwansei Gakuin Univ., Osaka-Umeda Campus Maximum Redundancy of Lossless Data Compression via Substring Enumeration for Markov Sources
Ken-ichi Iwata (Univ. of Fukui), Mitsuharu Arimura (Shonan Inst. Tech.), Yuki Shima (Univ. of Fukui) IT2012-76 ISEC2012-94 WBS2012-62
Dub\'{e} and Beaudoin proposed a technique of lossless data compression called compression via substring enumeration (CS... [more] IT2012-76 ISEC2012-94 WBS2012-62
pp.95-100
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