[1]ZHANG Jing,SHEN Lan-sun,David Dagan FENG.computer interaction technology? in image searches: a survey[J].CAAI Transactions on Intelligent Systems,2007,2(4):14-20.
Copy

computer interaction technology? in image searches: a survey

References:
[1]沈兰荪,卓 力.小波编码与网络视频传输[M]. 北京:科学出版社,2005.
[2]LI Xiaohua, SHEN Lansun. Detecting faces in the wavelet compressed domain[A ]. In Proceedings of SPIE: Visual Communications and Image Processing 2005[C] . Beijing,2005.
[3]LIU Danghui, SHEN Lansun, LAN Kinman, et al. Face recognition based on ill um ination restoration[A]. In Proceeding of 2004 International Symposium Multime dia: Video and Speech Proceeding[C]. Hong Kong,China,2004.
[4]FASEL B, LUETTIN J. Automatic facial expression analysis: a survey[J]. Pattern Recognition, 2003, 36(1): 259-275.
[5]OUDEVER P. The production and recognition of emotions in speech: features and algorithms[J].Int J of HumanComputer Studies, 2003, 59(1-2):157-183 .
[6]MARCEL S. Gestures for multimodal interfaces: a review[R]. Technical Report IDIAPRR 02-34,2002.
[7]HU Weiming, TAN Tieniu, WANG Liang, et al. A survey on visual surveillance o f object motion and behaviors [J]. IEEE Trans on Systems, Man, and Cybernetic s, 2004, 34(8):3.
[8]DUCHOWSKI A. A breadthfirst survey of eye tracking applications[J]. B ehavior Research Methods, Instruments, and Computer, 2002, 34(4):455-470.
[9]PORTA M. Visionbased user interfaces: methods and applications[J]. Int J Humancomputer Studies, 2002, 57(1):27-73.
[10]DURIC Z, GRAY W, HEISHMAN R, et al. Integrating perceptual and co gnitive mo deling for adaptive and intelligent humancomputer interaction [J]. Proceedin gs of the IEEE, 2002, 90(7):1272-1289.
[11]OVIATT S, DARRELL T, FLICKNER M. Multimodal interfaces that flex, ada pt, and persist[J]. Communications of the ACM, 2004, 47( 1 ): 30-75.
[12]KISACANIN B, PAVLOVIC V, HUANG T. Realtime vision for humancomputer i nteraction [M]. New York:SpringerVerlag,2005.
[13]QVARFORDT P, ZHAI Shumin. Conversing with the user based on eyegaze pat terns[A].Conf HumanFactors in Computing System[C]. New York,2005.
[14]TURK M, KOLSCH M. Perceptual interfaces[M]. Englewood Cliffs:Prentice Hall, 2004.
[15]TURK M, ROBERTSON G. Perceptual interfaces[J]. Communications of the A CM, 2000, 43(3):32-34.
[16]SELKER T. Visual attentive interfaces[J]. BT Technology Journal, 2004, 22(4):146-150.
[17]CHEN J,BOUMAN C,DALTON J.Hierarchical browsing and search of large ima ge databases[J]. IEEE Trans Image Process, 2000, 9(3): 442-445.
[18]ISHIKAWA Y, SUBRAMANYA R, FALOUTSOS C. MindReader: query databases throug h multiple examples[A]. International Conf on Very Large Data Bases (VLDB) [C]. New York, USA, 1998.
[19]RUI Y, HUANG T. Optimizing learning in image retrieval[A]. IEEE Conf Computer Vision and Pattern Recognition[C]. South Carolina, USA, 2000.
[20]ZHOU X, HUANG T. Small sample learning during multimedia retrieval using Bi asMap[A]. IEEE Int Conf Computer Vision and Pattern Recognition[C]. Hawai i, USA, 2001.
[21]CHEN Y, ZHOU X, HUANG T. Oneclass SVM for learning in image retrieval [A]. International Conf on Image Processing[C]. Thessaloniki, 2001.
[22]WU Y, TIAN Q, HUANG T S. Discriminant EM algorithm with application to ima ge retrieval[A]. IEEE Conf Computer Vision and Pattern Recognition[C].South Carolina, USA,2000.
[23]MACARTUR S, BRODLEY C, SHYU C. Relevance feedback decision trees in conte nt based image retrieval[A]. IEEE Workshop CBAIVL[C]. South Carolina, USA, 2000.
[24]TIEU K, VIOLA P. Image retrieval[A]. IEEE Conf Computer Vision an d Pattern Recognition[C]. South Carolina, USA, 2000.
[25]TONG S, CHANG E. Support vector machine active learning for image retriev al[A]. ACM Multimedia[C]. Ottawa, Canada, 2001.
[26]TONG S, KOLLER D. Support vector machine active learning with application s to text classification[A]. International Conf on Machine Learning[C]. Stanford, USA, 2000.
[27]VASCONCELOS N, LIPPMAN A. Bayesian relevance feedback for contentbased image retrieval[A]. IEEE Workshop CBAIVL[C]. South Carolina, USA, 2000.
[28]WONG S, ZIARKO W, WONG P. Generalized vector space model in information r et rieval[A]. Proceedings of the 8th ACM SIGIR Conference on Research and Develo pment in Information Retrieval[C]. Montreal, Canada, 1985.
[29]RUI Y, HUANG T, ORTEGA M, et al. Relevance feedback: a power tool in inte ra ctive contentbased image retrieval[J]. IEEE Trans Circuits System Video Tec hnology, 1998, 8(5):644-655.
[30]PICARD R, MINKA T, SZUMMER M. Modeling user subjectivity in image librari es[A]. International Conf on Image Processing[C]. Lausanne, Switzerland, 1 996.
[31]WOOD M, CAMPBELL N, THOMAS B. Iterative refinement by relevance feedback in contentbased digital image retrieval[A]. ACM Multimedia[C].Bristol, UK, 1998.
[32]LAAKSONEN J, KOSKELA M, OJA E. PicSOM: selforganizing maps for content bas ed image retrieval[A]. INNSIEEE International Joint Conference on Neural Ne tworks[C]. Washington, DC, USA, 1999.
[33]SALTON G. Automatic text processing[M]. MA: AddisonWesley, 1989.
[34]SCHETTINI R, CIOCCA G, GAGLIARDI I. Contentbased color image retrieval wit h relevance feedback[A]. International Conf on Image Processing[C]. Kobe, J apan, 1999.
[35]GUO G, ZHANG H, LI S. Boosting for contentbased audio classification an d r etrieval: an evaluation[R]. Microsoft Research Technical Report: MSRTR200 1-15,2001.
[36]XU Y, SABER E, TEKALP A. Hierarchical content description and object for mation by learning[A]. IEEE Workshop CBAIVL[C]. Colorado, USA, 1999.
[37]RATAN A, GRIMSON M, LOZANO P. A framework for learning query concepts in im age classification[A]. IEEE Conf Computer Vision and Pattern Recognition[C ]. Fort Collins, USA, 1999.
[38]FORSYTH D, FLECK M. Finding people and animals by guided assembly[A]. International Conf on Image Processing[C].Santa Barbara, USA, 1997.
【39]HONG P, HUANG T. Spatial pattern discovering by learning the isomorphic s ub graph from multiple attributed relation graphs[A]. 8th International Wo rkshop on Combinatorial Image Analysis[C]. Pniladelphia,USA, 2001.
[40]TSAI W, FU K. Errorcorrecting isomorphism of attributed relational grap hs for pattern analysis[J]. IEEE Transaction System Man Cybern, 1979, 9(12): 757 -768.
[41]OYEKOYA O, STENTIFORD F. Eye tracking as a new interface for image retrie val[J]. BT Technology, 2004, 22(7):161-169.
[42]KASTER T, PFEIFFER M, BAUCKHAGE C. Combining speech and haptics for intui ti ve and efficient navigation through image databases[A]. ICMI 2003[C]. Vanco uver, Canada, 2003.
Similar References:

Memo

-

Last Update: 2009-05-07

Copyright © CAAI Transactions on Intelligent Systems