Hiroshi Murase, PhD

Present Title:
Professor
Graduate School of Information Science, Nagoya University

Address:
Graduate School of Information Science
Nagoya University
Furo-cho, Chikusa-ku, Nagoya
464-8603 JAPAN

Education:
Ph.D. in Information Engineering, Nagoya University, Nagoya, Japan, June 1987.
M.E. in Electrical Engineering, Nagoya University, Nagoya, Japan, March 1980.
B.E. in Electrical Engineering, Nagoya University, Nagoya, Japan, March 1978.

Personal Data:
Year of Birth: 1955
Place of Birth: Aichi, Japan
Citizenship: Japan

Research experience :

  Affiliation Title Research area
2003-

Nagoya University;
Graduate School of Information Science

Professor Image recognition
2001-2003 NTT Communication Science Laboratory Executive manager of Media Information Laboratories
Multimedia information recognition
1999-2001 NTT Communication Science Laboratory Group leader of Recognition Research Group Multimedia information recognition
1997-1999 NTT Basic Research Laboratory
Group leader of Media-information Recognition Group Multimedia information recognition
1994-1997 NTT Basic Research Laboratory Distinguished Research Scientist Computer vision and object recognition
1993-1994 Columbia University Visiting Research Scientist Computer vision and object recognition
1989- 1993 NTT Basic Research Laboratory Senior Research Scientist Computer vision
1984-1989 NTT Basic Research Laboratory Research Scientist Character and figure recognition.
1980-1984 NTT Musashino Electrical Communication Laboratory Research Scientist Character and figure recognition

* NTT: Nippon Telegraph and Telephone Corporation

 

Academic Award:

  Award Contribution Institute
1986.3.25 Shinohara Award Segmentation and recognition of hand-written character string using linguistic information The Institute of Electronics, Information and Communication Engineers of Japan
1992.3.27. Telecom System Award Online recognition system for free-format handwritten Japanese character Telecommunications Advancement Foundation
1994.6.22. Best Paper Award in IEEE CVPR'94 Illumination planning for object recognition in structured environments IEEE
1995.9.20. Yamashita Award Image spotting of 3D objects using multi-resolution and parametric eigenspace representation Information Processing Society of Japan
1996.4.25. Best Video Award in IEEE ICRA96 A General Framework for Appearance Matching IEEE
2001, Takayanagi Memorial Award Quick audio and video seaching Takanayagi Foundation
2001. Best Paper Award Active search: visual search algorithm The Institute of Electronics, Information and Communication Engineers of Japan
2002, IEICEJ Achievement Award Quick audio and video seaching The Institute of Electronics, Information and Communication Engineers of Japan
2003.4 Ministry Award Quick audio and video searching and its application to the broadcast monitoring Ministry of Education, Culture, Sports, Science and Technology of Japan
2004.6 Multimedia Prize Paper Awared A quick search method for audio and video signals based on histogram pruning IEEE Transactions on Multimedia
2004.7 Paper Award in MIRU2004 Symposium A classification method of pulmonary vessels from chest X-ray CT image The Institute of Electronics, Information and Communication Engineers of Japans
2005.3.22 Telecom System Award A fast search algorithm for background music signals based on the searches for numerous small-region spectrograms Telecommunications Advancement Foundation
2006.1.1 IEEE fellow Contributions to image recognition and multimedia content monitoring systems IEEE
2006.8.21 Best Industry-Related Paper Award in ICPR2006 Change detection in street scapes from GPS coordinated omni-directional images IAPR
2007.5.17 Most Influential Paper over the Decade Award Visual Tracking Using Active Search for Color IAPR (MVA conference)
2007.9.6 FIT2007 Award Recognition of Character Strings in Low-quality Images Using Inter-character Features FIT

 

Company Award

  Award Contribution  
1994.1.19 NTT BRL Research Award Object recognition using parametric eigenspace method NTT Basic Research Lab.
1997.1.27. NTT BRL Research Award Fast visual search using active search NTT Basic Research Lab.
1999.1.11 NTT BRL Research Award Time-series active search for multimedia data NTT Basic Research Lab.
2000.1.125 NTT Research Award Quick CM (commercial) search from broadcast data based on Time-series active search NTT
2000.10.23. NTT President Award: Quick search of Audio and Video data NTT
2002.7 NTT Patent Award Quick CM (commercial) search from broadcast data based on Time-series active search NTT

 

Research Publications:
Book Contributions:
(1) Hiroshi Murase, Online recognition system for free-format handwritten Japanese characters, Character: Handwriting Recognition - Expanding Frontiers - edited by P. S. P. Wang, World Scientific, 1991.
(2) Hiroshi Murase, Surface shape reconstruction of an undulating transparent object, Physics-Based Vision: Principles and Practice, edited by Steve Shafer, Glenn Healey and Larry Wolff, Jones and Bartlett Publishers Inc., June 1992.
(3) Hiroshi Murase, and Shree Nayar, Theory and applications of image analysis II, pp.197-209, edited by Gunilla Borgefors, ISBN 981-02-2448-6, World Scientific, 1995.
(4) Shree Nayar, Sameer Nene, Hiroshi Murase, Early Visual Learning, edited by Shree Nayar and Tomas Poggio, Oxford University Press, 1996.
(5) H. Murase, Image Recognition by the Eigenspace Method, Chapter 13, pp. 206-218, Computer Vision, edited by Matsuyama, Kuno, and Imiya, Shingijyutu Communications Publishers (in Japanese), 1998.
(6) K. Ishii, N. Ueda, E. Maeda, H. Murase, Pattern Recognition, Ohmsha Publishers (in Japanese), 1998.
(7) H. Murase, Image Recognition, pp.251-286, Chapter 8, Computer Image Processing, edited by Tamura, Ohmsha Publishers (in Japanese), 2002.


Journal Publications
(In English)
(1) Hiroshi Murase, Toru Wakahara, and Michio Umeda, Online Recognition Algorithm for Hand-Sketched Flowchart by Candidate Lattice Method, System Computer Controls, Vol.14, No.3, pp.37-46, 1983.
(2) Hiroshi Murase and Toru Wakahara, Online hand-sketched figure recognition, Pattern Recognition, Vol.19, No.2, pp.147-160, 1986.
(3) Hiroshi Murase, Online recognition system for free-format handwritten Japanese characters, International Journal of Pattern Recognition and Artificial Intelligence, vol. 5, No. 1, 1991.
(4) James Cole, Hiroshi Murase and Seiichiro Naito, A Lie group theoretic approach to the invariance problem in feature extraction and object recognition, Pattern Recognition Letters, 12, pp.519-523, 1991.
(5) Toru Wakahara, Hiroshi Murase and Kazumi Odaka, Online handwriting recognition, Proceedings of the IEEE, Vol.80, No. 7, pp.1181-1194, July 1992.
(6) Hiroshi Murase, Surface shape reconstruction of a non-rigid transparent object using refraction and motion, IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 14, No. 10, October 1992.
(7) Hiroshi Murase and Shree K. Nayar, Illumination planning for object recognition using parametric eigenspace, IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 16, No. 12, pp.1219-1227, 1994.
(8) Hiroshi Murase and Shree K. Nayar, Visual learning and recognition of 3-D objects from appearance, International Journal of Computer Vision, Vol. 14, pp.5-24, 1995.
(9) James Roseborough, and Hiroshi Murase, Partial eigenvalue decomposition for large image sets using run-length encoding, Pattern Recognition, vol. 28, No. 3, pp.421-430, 1995.
(10) Hiroshi Murase and Michael Lindenbaum, Spatial Temporal Adaptive method for partial eigenstructure decomposition of large images, IEEE Trans. Image Processing, 5, pp.620-629, 1995.
(11) Hiroshi Murase, and Shree Nayar, Three-dimensional object recognition from appearance -- Parametric eigenspace method, Systems and computers in Japan, Vol. 26, No. 8, pp.45-54, 1995.
(12) Hiroshi Murase, and Rie Sakai, Moving object recognition in eigenspace representation: Gait analysis and lip reading, Pattern recognition letters, 17, pp.155-162, 1996.
(13) Shree K. Nayar, S. A. Nene, and Hiroshi Murase, Subspace methods for robot vision, IEEE Trans. Robotics and Automation, Vol.12, No.5, pp.750-758, 1996.
(14) V V Vinod, and Hiroshi Murase, Focused color intersection with efficient searching for object extraction, Pattern Recognition, Vol. 30, No.10, pp.1787-1797, 1997.
(15) H.Murase, and S.Nayar, Appearance-based detection of 3D objects in cluttered scenes, Pattern Recognition Letters, 18, 375-384, 1997.
(16) Simon Baker, Shree Nayar, and Hiroshi Murase, Parametric feature detection, International Journal of Computer Vision, Vol. 21, No.1, pp.27-50, 1998.
(17) Jeff L. Edwards, and Hiroshi Murase, Coarse-to-fine adaptive masks for appearance matching of occluded scenes, Machine Vision and Applications, 10, pp.232-242, 1998.
(18) V. V. Vinod, and Hiroshi Murase, Image retrieval using efficient local-area matching, Machine Vision and Applications, 11, pp.7-15, 1998.
(19) K. Kashino, H. Murase, A sound source identification system for ensemble music based on template adaptation and music stream extraction, Speech Communication, 27, pp.337-349, 1999.
(20) K.Kashino, G.Smith, H.Murase, Quick audio retrieval based on histogram feature sequences, J. Acoust. Society Japan, 21, 4, pp.217-219, 2000.
(21) H.Murase, V. V. Vinod, Fast visual search using forcused color matching - active search, System and Computers in Japan, Vol.31, pp. 81-88, No.9, 2000
(22) B.Raytchev, H.Murase, Unsupervised face recognition by associative chaining, Pattern Recognition, Vol.35, pp245-257, 2002D
(23) K.Kashino, T.Kurozumi, and H.Murase, A Quick AND/OR Search for Multimedia Signals Based on Histogram Features, Electronics and Communications, Part3, Vol.86, No.12, 2003
(24) K.Kashino, T.Kurozumi, and H.Murase, A Quick Search Method for Audio and Video Signals Based on Histogram Pruning, IEEE Trans. on Multimedia, Vol.5,No.3, pp.348-357,2003/09
(25) Bisser Raytchev and Hiroshi Murase, Unsupervised recognition of multi-view face sequences based on pairwise clustering with attraction and repulsion, Computer Vision and Image Understanding,Vol.91 No.1/2 July/August,pp.22-52,2003
(26) A.Kimura, K.Kashino, T.Kurozumi, and H.Murase, A Quick Search Method for Multimedia Signals Using Global Pruning, Systems and computers, Vol.34,No.13, pp47-58, 2003
(27) Lina, Benyamin Kusumoputro, Hiroshi Murase, Modified Nearest Feature Line Method in a 3-D Face Recognition System for a Large Number of Ocject Classes, Wseas Transactions on circuits and Systems, Issue4, Vol.4 pp.338-344 2005.
(28) Takahito Kawanishi and Hiroshi Murase, Quick Object Search Using Color Histograms and Pan-Tilt-Zoom Camera |Dynamic Active Search, Electronics and Communications in Japan, Part 2, Vol.88, No.5, pp.40-49, 2005 .

(In Japanese)

(1) Hiroshi Murase, Fumitaka Kimura, Mitsu Yoshimura and Yasuji Miyake, An improvement of the auto-correlation matrix in the pattern matching method and its application to handprinted HIRAGANA recognition, IECEJ (The Institute of Electrical and Communication Engineers of Japan), J64-D, 3, pp.276-283, 1981.
(2) Hiroshi Murase, Toru Wakahara and Michio Umeda, Online recognition algorithm for hand-sketched flowchart by candidate lattice method, IECEJ, J66-D, 6, pp.675-682, 1983.
(3) Hiroshi Murase, Toru Wakahara and Michio Umeda, Online hand-sketched line figure recognition by candidate lattice method with connection rules, IECEJ, J67-D, 3, pp.675-682, 1984.
(4) Hiroshi Murase, Toru Wakahara and Michio Umeda, Online writing-box free character string recognition by candidate lattice method, IECEJ, J68-D, 4, pp.765-772, 1985.
(5) Hiroshi Murase, Toru Wakahara, Mikio Shinya and Kazumi Odaka, Segmentation and recognition of hand-written character string using linguistic information, IECEJ, J69-D, 9, pp.1292-1301, 1986.
(6) Hiroshi Murase, Writer adaptive character segmentation method for free-format handwriting, IECEJ, J72-D-II, 1, pp.132-139, 1989.
(7) Hiroshi Murase, Shape recovery of a transparent liquid surface using refraction adn motion, IEICE, J72-D-II, No.11, pp.1894-1903, 1989.
(8) Hiroshi Murase and James Roseborough, Fast eigenvector calculation method for image sets using run-length encoding, IECEJ, J74-D-II, 6 pp.846-849, 1991.
(9) Hiroshi Murase, Recognizing Individuals from the Silhouettes of Their Walk, IECEJ, J75-D-II, 6, pp.1096-1098, 1992.
(10) Hiroshi Murase, Shree K. Nayar, Appearance-based 3D object recognition - parametric eigenspace method, IEICE, J77-D-II, 11, pp.2179-2187, 1994.
(11) Hiroshi Murase, Shree K. Nayar, Image spotting of 3D ogjects using multi-resolution and parametric eigenspace representation, IPSJ,Vol.36, No.10, pp.2234-2243, 1995.
(12) Kunio Kashino and Hiroshi Murase: "Sound Source Identification by Adaptive Template-Mixture Method - Application to Ensemble Music Recognition -, Trans. IEICE, Vol.J81-D-II, No.7, pp.1510-1517 (Jul. 1998).
(13) Hiroshi Murase, V.V. Vinod, Fast visual search using focused color matching - Active Search-, IEICE, Vol. J81-DII,No,9, pp.2035-2042, 1998.
(14) Minako Sawaki, Hiroshi Murase, Norihiro Hagita, Kennichirou Ishii, A study on Syakuhachi score recognition with enbedded symbols, IEICE, Vol. J81-DII,No,10, pp.2480-2482, 1998.
(15) Kunio Kashino and Hiroshi Murase, Sound Source Identification for Ensemble Music Based on Music Stream Networks, Journal of Japanese Society for Artificial Intelligence, Vol.13, No.6, pp.962-970, 1998.
(16) Eisaku Maeda, Hiroshi Murase, Kernel based nonlinear subspace method for pattern recognition, IEICE, Vol. J82-DII,No,4, pp.600-612,1999.
(17) Kunio Kashino, Gavin Smith and Hiroshi Murase, A Quick Search Algorithm for Acoustic Signals -Time-series Active Search-, Trans. IEICE, vol.J81-D-II, No.9, pp.1365-1373 ,1999.
(18) M.Sawawki, H.Murase, H.Hagita, Recognition of characters in bookshelf image using automatic dictionary selection based on estimated degradation, ITE, Vol.54, No.6, pp.881-886, 2000.
(19) K.Kashino, T.kurozumi, Quick AND/OR shearch for multimedia signals based on histogram features, IEICE, Vol. J83-DII, No,12, pp.2735-2744, 2000.
(20) T.Akutsu, K.Arakawa, H.Murase, Shape from contour using adaptive image selection, IEICE, Vol. J83-DII, No,12, pp.2652-2662, 2000.
(21) K.Kashino, H.Murase, Time-series active search:Instantaneous searching of audio and videoCNTT R&D,Vol.49,No.7,pp407-413, 2000.
(22) A.Fukayama, M.Sawaki, H.Murase, N.Hagita, Age estimation from dynamic features of gait, IEICE, Vol.J84-DII, No.7, pp.1522-1526, 2001.
(23) T.Kawanishi, H.Murase, Quick object search using color histograms and pan-tilte-zoom camera - dynamic active search-, IEICE, Vol.J84-DII, No.8, pp.1722-1730, 2001.
(24) T.Kurozumi, K.Kashino, H.Murase, Probabilistic dither-voting: improving robustness of time-series active search with respect to feature distortions, IEICE, Vol.J84-DII, No.8, pp.1817-1825, 2001.
(25) A.Kimura, K.Kashino, T.Kurozumi, H.Murase, A quick search mrthod for multimedia signals using global pruning, IEICE, Vol.J85-DII, No.10, pp.1552-1562, 2002.
(26) M.MoriCM.SawawkiCN.HagitaCH.MuraseCN.Mukawa,@Robust Feature Extraction Method Based on Run-Length Compensation for Degraded Character Recognition, IEICE, Vol.J86-D-‡U No.7, pp1049-1057, 2003.
(27) H.Nagano, K.Kashino, H.Murase, Similar Music Retrieval Using Polyphonic Binary Feature Vectors and Its Acceleration, IEICE, Vol.J86-DII, No.11, pp.1657-1667, 2003.
(28) M.Tsuchida, T.Kawanishi, H.Murase, S.Takagi, Sequential monte-carlo estimation of background image for background subtraction under changing illumination, IEICE, Vol.J87-DII, No.5, pp.1062-1070, 2004.
(29) H.Nagano, K.Kashino, H.Murase, A fast search algorithm for background music signals based on the searches for numerous small-region spectrograms, IEICE, Vol.J87-DII, No.5, pp.1179-1188, 2004.
(30) T.Takahashi, Y.Mekada, H.Murase, T.Yonekura, Performance Evaluation of a Method for Isosueface Generation from Volumetric Data Sampled with a Face-sentered Cubic Lattice, IIEEJ, Vol.33 No.4-B pp.547-554 2004
(31) K.Miyashita, Y.Hirano, Y.Mekada, H.Murase, J.Hasegawa, J.Toriwaki, .Seki, K.Eguchi, T.Matsumoto, H.Omatsu,H.Mogami, M.Nakata, Medical Image Technology Vol.23 No.3 pp.161-171, May 2005.
(32) Y.Mekada, T.Tanaka, H.Murase, J.Hasegawa, J.Toriwaki, H.Otsuji, Automated Classification of Pulmonary Artery and Vein from Cest X-ray CT Images Based on Spatial Arrengement Features of Bronchus and Vessels, IEICE, Vol.J88-DII No.8 pp.1412-1420, 2005
(33) H.Murase, Generative Learning for Image Recognition, CVIM 12, Vol.46 No.SIG 15 pp.35-42, Oct. 2005
(34) S.Yanadume, T.Takahashi, I.Ide, Y.Metada and H.Murase, Recognition of Very Low-Resolution from Motion Image Taken by Portable Digital Cameras, IEICE, Vol.J89-D No.2 pp.323-331, 2006


International Conferences
(1) H.Murase, Online recognition of free-format Japanese handwritings, 9th International Conference on Pattern Recognition (ICPR), pp.1143-1147, 1988
(2) H.Murase, Surface shape reconstruction of an undulating transparent object, 3rd International Conference on Computer Vision (ICCV), pp.313-317, 1990
(3) H.Murase, S.K.Nayar, Learning object models from appearance, AAAI-93, American Association for Artificial Intelligence, Washington D.C., pp. 836-843 July, 1993
(4) H.Murase, S.K.Nayar, Learning and recognition of 3D objects from appearance, IEEE Qualitative Vision Workshop, New York, pp.39-50, June, 1993
(5) H.Murase, S.K.Nayar, Parametric eigenspace representation for visual learning and recognition, Workshop on Geometric Method in Computer Vision, SPIE, San Diego, pp.378-391, July, 1993
(6) H.Murase, S.K.Nayar, Visual learning of object models from appearance, ARPA Image Understanding Workshop, Washington D.C., pp.547-555, April, 1993
(7) F.Mokhtarian, S.K.Nayar, Silhouette-based object recognition through curvature scale space, 4th ICCV, Berlin, pp.269-274, May, 1993
(8) H.Murase, S.K.Nayar, Learning and recognition of 3D objects from brightness images, AAAI symposium on Visual Learning, Oct, pp.25-29, 1993
(9) S.K.Nayar, H.Murase, S.A.Nene, Learning, and positioning, and tracking visual appearance, IEEE International Conference on Robotics and Automation, May 8-13, pp. 3237-3244, 1994
(10) H.Murase, S.K.Nayar, Illumination planning for object recognition in structured environments, Proc. of IEEE Conference on Computer Vision and Pattern Recognition(CVPR), pp.31-38, June, 1994(Best Paper Award)
(11) S.A.Nene, S.K.Nayar, H.Murase, Software library for appearance matching (SLAM), ARPA Image Understanding Workshop, pp.733-737, Nov, 1994
(12) S.K.Nayar, H.Murase, S.A.Nene, General learning algorithm for robot vision, ARPA Image Understanding Workshop, Nov, pp.753-763, 1994
(13) S.K.Nayar, H.Murase, Parametric appearance representation, NFS/ARPA workshop on 3D object representation for computer vision, 12/5, 1994.
(14) S.K.Nayar, H.Murase, S.A.Nene, A general learning algorithm for robot vision, Proc. SPIE - Int. Soc. Opt. Eng. (USA), Proceedings of the SPIE - The International Society for Optical Engineering, vol.2304, pp.10-17, San Diego, CA, USA; 28-29 July 1994
(15) H.Murase, Appearance-based object recognition: parametric eigenspace representation, ATR International Symposium on Face and Object Recognition '95, Jan. 17-20, 1995
(16) H.Murase, S.K.Nayar, Image spotting of 3D objects using parametric eigenspace representation, SCIA95, pp.323-332.1995
(17) S.K.Nayar, H.Murase, Dimensionality of illumination in appearance matching, IEEE International Conference on Robotics and Automation, pp.165-178, 1996
(18) S.K.Nayar, S.A.Nene, H.Murase, Real-time 100 object recognition system, IEEE International Conference on Robotics and Automation, vol.3of4 pp.2321-2325, 1996
(19) S.K.Nayar, S.A.Nene, H.Murase, A General framework for appearance matching, Video proceedings, IEEE International Conference on Robotics and Automation, vol.2of4 pp.1326-1332, 1996
(20) V.V.Vinod, H.Murase, Focussed color intersection for object extraction from cluttered scenes, Vision Interface 96, 1996
(21) V.V.Vinod, H.Murase, C.Hashizume, Focussed color intersection with efficient searching for image detection and retrieval, IEEE International Conference on Multimedia Computing and Systems, ICMCS 96, pp.229-233, 1996
(22) S.K.Nayar, H.Murase, Dimensionality of illumination manifolds in eigenspace, International Workshop on object representation for computer vision, April 13-14 1996 - University of Cambridge, England, (Preceeding ECCV'96)
(23) S.K.Nayar, S.Baker, Hi,Murase, Parametric feature detection, IEEE CVPR96
(24) H.Murase, S.K.Nayar, Learning by a generation approach to appearance-based object recognition, IAPR ICPR96, pp.24-29, 1996
(25) V.V.Vinod, H.Murase, Object location using complementary color features: Histogram and DCT, IAPR ICPR96, pp.554-559, 1996
(26) V.V.Vinod, H.Murase, Visual Traching using active search for color, International workshop on machine vision and application, IAPR workshop on MVA96, pp.1-4, 1996
(27) J.L.Edward, H.Murase, Appearance matching of occluded objects using coarse-to-fine adaptive masks, IEEE conf. on CVPR, pp.533-539, 1997
(28) V.V.Vinod, H.Murase, Video shot analysis using efficient multiple object tracking, IEEE conf. on ICMCS97, pp.501-508, 1997
(29) V.V.Vinod, H.Murase, Counting multi-colored objects using active search, IEEE conf. on International Conference on Information, Comunications, and Signal processing, ICICS97, SIngapole, 1997
(30) K.Kashino, H.Murase, A music stream segregation system based on adaptive multi-agents, IJCAI 97, pp.1126-1131, 1997
(31) K.Kashino, H.Murase, Sound Source Identification for ensemble music based on the music stream extraction, IJCAI workshop on CASA, pp.127-134, 1997
(32) T.Akutsu, K.Arakawa, H.Murase, Active viewpoint control for shape from occluding contours, IAPR Asian conference on computer vision, 1998
(33) G.Smith, H.Murase, K.Kashino, Quick audio retrieval using active search, IEEE ICASSP-98, Vol.‡Y,pp.3777-3780, 1998
(34) K.Kashino, H.Murase, Music recognition using note transition context, IEEE ICASSP-98, Vol.‡Y,pp.3593-3596,1998
(35) C.Hasizume, V.V.Vinod, H.Murase, Robust object extraction with illumination-insensitive color descriptions, Vol.3. pp.50-54,IEEE ICIP, 10, 1998
(36) M.Sawaki, H.Murase, N.Hagita, Recognition of characters in bookshelf images by automatic template selection, IAPR ICPR98, Vol2, pp.1117-1120
(37) H.Murase, K.Kashino, V.V.Vinod, G.Smith, Active search for quick visual and audio object detection, Fifth International Workshop on Human Interface Technology, Aizu-Wakamatsu City, Fukushima, Japan, November 11-13, pp.7-12, 1998
(38) K.Kashino, G.Smith, H.Murase, Time-series active search for quick retrieval of audio and video, IEEE ICASSP99, Vol.‡Y,pp.2993-2996,1999
(39) E.Maeda, H.Murase, Multi-category classification by kernel based nonlinear subspace method, IEEE ICASSP99, pp1025-1028, 1999
(40) M.Sawaki, H.Murase, N.Hagita, Cahracter recognition in bookshelf images using contextual image templates, IAPR ICDAR, , pp.79-82, 1999/9/20, 1999
(41) K.Kashino, H.Murase, Quick audio-visual search using time-series active search, IWHIT/SM99, Aizu-univ, pp.9-14, 1999/10/27
(42) M.Sawaki, H.Murase, N.Hagita, Automatic acquisition of context-based image templates for degraded character recognition in scene images, Vol.4,pp.15-18,IAPR ICPR, 2000/9, 2000
(43) K.Kashino, T.Kurozumi, H.Murase, Feature fluctuation absorption for a quick audio retrieval from long recordings, IAPR ICPR, Vol.3,pp.102-105,2000/9, 2000
(44) A.Kimura, K.Kashino, T.Kurozumi, H.Murase, Very quick audio searching: introducing global pruning to the time-series active search, Vol.‡V,pp.1429-1432,IEEE ICASSP2001 2001.5
(45) B.Raytchev, H.Murase, Unsupervised learning of faces for human-computer interfaces, INTERACT2001, p779-780, IFIP, 2001/7/12
(46) A.Fukayama, M.Sawaki, T.Ohno, H.Murase, N.Hagita, N.Mukawa, Expressing personality of intereface agent by gaze, INTERACT2001, pp. 793-794, IFIP, 2001/7/12
(47) M.Mori, M.Sawaki, N.Hagita, H.Murase, N.Mukawa, Robust feature extraction based on run-length compensation for degraded hand written character recognition, Analysis and Recognition, pp.650-654, 2001/9
(48) T.Kawanishi, H.Murase, S.Takagi, M.Werner, Dynamic active search for quick object detection with pan-tilt-zoom camera, IEEE ICIP, Vol.3,pp.716-719,2001/10/7
(49) T.Kurozumi, K.Kashino, H.Murase, A method for robust and quick video searching using probabilistic dither-voting, IEEE ICIP, Vol.2,pp.653-656,2001/10/7
(50) B.Raytchev, H.Murase, Unsupervised face recognition from image sequences, IEEE ICIP, Vol.‡T,pp.1042-1045,2001/10/7
(51) B.Raytchev, H.Murase, Unsupervised face recognition from image sequences based on clustering with attraction and repulsion,IEEE CVPR, Vol.‡U,pp.25-30,2001/12/8
(52) H.Nagano, K.Kashino, H.Murase, Fast music retrieval ushing polyphonic binary feature vectors, IEEE ICME 2002, Vol.‡T,pp.101-104,2002
(53) A.Kimura, K.Kashino, T.Kurozumi, H.Murase, A quick search method for multimedia signals using feature compression based on piecewise linear maps , IEEE ICASSP2002, Vol.‡W,pp.3656-3659,2002
(54) T.Kawanishi, H.Murase, S.Takagi, Quick 3D object detection and localization by dynamic search with multiple active cameras, IAPR 16thICPR, Vol.2, pp. 603-606, 2002
(55) T.Kurozumi, K.Kashino, H.Murase, A robust audio searching method for cellular-phone-based music information retrieval, IAPR 16thICPR, Vol.3,pp.991-994, 2002
(56) B.Raytchev, H.Murase, VQ-faces-unsupervised face recognition from image sequences, IEEE ICIP2002,Vol.‡U,pp.809-812, 2002
(57) Hidehisa Nagano, Kunio Kashino and Hiroshi Murase, A fast search algorithm for background music signals based on the search for numerous small signal components,IEEE International Conference on Multimedia and Expo, IEEE ICME, Vol.‡T,pp.165-168,2003/7/6-9
(58) Takahiko Kawanishi, Masaru Tsuchida, SigeruTakagi, Hiroshi Murase, Small cylindrical display for anthropomorphic agents,IEEE ICME, Vol.‡U, pp.85-88, 2003/7/6-9
(59)Akisato Kimura, Kunio Kashino, Takayuki Kurozumi and Hiroshi Murase, Dynamic-segmentation-based feature dimension reduction for quick audio/video searching, IEEE ICME, Vol.‡U,pp.389-392, 2003/7/6-9
(60)Bisser Raytchev, Hiroshi Murase,Takahiko Kawanishi, VQ-Faces[Unsupervised Multi-View Face Recognition by Pairwise Clustering, IAPR Asian conference on computer vision(ACCV), pp.79-84, 2004/27-30
(61)Tomokazu Takahashi, Yoshito Mekada, Hiroshi Murase, and Tatsuhiro Yonekura, High quality isosurface construction from volumetric data sampled with a face-centered cubic lattice, IAPR Asian conference on computer vision(ACCV), pp.872-877, 2004/27-30
(62)Masaru Tsuchida, Takahito Kawanishi, Hiroshi Murase and Shigeru Takagi, Sequential monte-carlo estimation of background image for background subtraction under changing illumination, Proceedings of 3rd IASTED international conference Visualization, imaging, and image processing(VIIP2003), pp.421-425, 2003/9/8-10
(63)S.Ema, K.Mori, T.Kitasaka, Y.Mekada, H.Murase, J.Hasegawa, J.Toriwaki, M.Mori, H.Takabatake, H.Natori,An improved method for automated anatomical labeling of bronchial branches extracted from 3-D CT images, ICS1268(CARS2004), p.1358,Chicago USA,2004/6/23-26
(64)Tomokazu Takahashi, Yoshito Mekada, Hiroshi Murase, and Tatsuhiro Yonekura, High quality isosurface generation from volumetric data and Its application to visualization of medical CT data, 2004 IEEE, Cambridge,U.K, 2004/8/23-26
(65)Yoshito Mekada, Jun-ichi Hasegawa, Junichiro Toriwaki, Takashi Kusanagi, Hiroshi Murase, Finding Corresponding Lung Nodules in Sequential Chest CT Images for Follow-up Surveillance, VSMM2004, pp.68-74, 2004/11/17-19
(66) Hidenori Tanaka, Itaru Kitahama, Hideo Saito, Hiroshi Murase, Kiyoshi Kogure and Norihiro Hagita, Dynamically Visual Learning for People Identification with Sparsely Distributed Cameras, SCIA2005, pp.130-140, Joensuu, Finland, 2005/06/19-22
(67) R. Kono, Y. Mekada, K. Mori, I. Ide, H. Murase, J.-I. Hasegawa, S.Nawano, A method for automated segmentation of the stomach and itsapplication for navigated diagnosis, CARS2005, pp.149-153, Berlin, Germany, 2005/06/22-25
(68) S. Nakamura, Y. Mekada, I. Ide, H. Murase, J. Hasegawa, J. Toriwaki, H.Otsuji, Pulmonary artery and vein classification method using spatialarrangement features from X-ray CT images, CARS2005, p.1403, Berlin, Germany, 2005/06/22-25
(69) Hiroyuki Ishida, Shinsuke Yanadume, Tomokazu Takahashi, Ichiro Ide, Yoshito Mekada, Hiroshi Murase, Recognition of low-resolution characters by a generative learning method, CBDAR, pp.45-51, Seoul, Korea, 2005/08/29
(70) Yoshito Mekada, Yuki Wakida, Yuichiro Hayashi, Ichiro Ide, and Hiroshi Murase, Spatiotemporal density feature analysis to detect liver cancer from abdominal CT angiography, ACCV2006, pp.702-711, 2006/01/11-17
(71) Kensaku Mori, Shinya Ema, Takayuki Kitasaka, Yoshito Mekada, Ichiro Ide, Hiroshi Murase, Yasuhito Suenaga, Hirotsugu Takabatake, Masaki Mori and Hiroshi Natori, Automated Nomenclature of Bronchial Branches Extracted from CT Images and Its Application to Biopsy Path Planning in Virtual Bronchoscopy, 8th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2005), LNCS 3750, Vol.Part II, pp.854-861, Palm Springs CA USA, Oct.2005
(72) Kazuhiro Otsuka, Yoshinao Takemae, Junji Yamato, and Hiroshi Murase, Probabilistic Inference of Gaze Patterns and Structure of Multiparty Conversations from Head Directions and Utterances, 1st.International Workshop on Conversational Informatics, pp.7-12, Kitakyushu, Japan, Jun/2005
(73) Hiroyuki Kurihata, Tomokazu Takahashi, Yoshito Mekada, Ichiro Ide, Hiroshi Murase, Yukimasa Tamatsu, and Takayuki Miyahara, Rainy Weather Recognition from In-Vehicle Camera Images for Driver Assistance, IEEE 2005 Intelligent Vehicle Symposium, MPO4 pp.204-209, Las Vegas USA, Jul/2005

 

Patents: 33 patents

Academic Activities:
(1) Committee member of Audio and Visual Information Research Group (in Japan), 1987-1988.
(2) Committee member of the Image Media Conference (in Japan), 1994.
(3) Representative committee member of the Computer Vision and Image Media Group in Information Processing Society of Japan, 1994-1996.
(4) Committee member of the IPSJ (Information Processing Society of Japan) Meeting on Image Recognition and Understanding, 1996.
(5) Committee member of Pattern Recognition and Image Understanding Group in the Institute of Erectronics, Information and Communication Engineers of Japan, 1995-1999.
(6) Committee member of the Image Sensing Symposium (in Japan), 1998.
(7) Program Chairman for the IEICEJ (the Institute of Electronics, Information and Communication Engineers of Japan) Meeting on Image Recognition and Understanding, 2000.
(8) Program Area-Chairman for the IEICEJ (the Institute of Electronics, Information and Communication Engineers of Japan) Meeting on Image Recognition and Understanding, 2004.
(7) Chairman of the academic group of PRMU (Pattern Recognition and Media Understanding) in IEICEJ (the Institute of Electronics, Information and Communication Engineers of Japan) 2005-2007.
(8) General Chairman for the IEICEJ (the Institute of Electronics, Information and Communication Engineers of Japan) Meeting on Image Recognition and Understanding, 2005.
(9) General Chairman for the IEICEJ (the Institute of Electronics, Information and Communication Engineers of Japan) Meeting on Image Recognition and Understanding, 2006.


Memberships:
Member of IECEJ, The Institute of Electrical and Communication Engineers of Japan.
Senior Member of IEEE, The Institute of Electrical and Electronics Engineers.
Member of IPSJ, Information Processing Society of Japan