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; |
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, 2002D
(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 videoCNTT 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.MoriCM.SawawkiCN.HagitaCH.MuraseCN.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