Image annotation and retrieval based on multi-modal feature clustering and similarity propagation.

IMAGE ANNOTATION AND RETRIEVAL BASED ON MULTI-MODAL FEATURE CLUSTERING AND SIMILARITY PROPAGATION Mohamed Maher Ben Ismail

[1]  Shih-Fu Chang,et al.  Image Retrieval: Current Techniques, Promising Directions, and Open Issues , 1999, J. Vis. Commun. Image Represent..

[2]  Claire Cardie,et al.  Proceedings of the Eighteenth International Conference on Machine Learning, 2001, p. 577–584. Constrained K-means Clustering with Background Knowledge , 2022 .

[3]  Thomas G. Dietterich.  What is machine learning? , 2020, Archives of Disease in Childhood.

[4]  J. MacQueen.  Some methods for classification and analysis of multivariate observations , 1967 .

[5]  Jitendra Malik,et al.  Blobworld: A System for Region-Based Image Indexing and Retrieval , 1999, VISUAL.

[6]  Hichem Frigui,et al.  Clustering by competitive agglomeration , 1997, Pattern Recognit..

[7]  Hichem Frigui,et al.  Unsupervised learning of prototypes and attribute weights , 2004, Pattern Recognit..

[8]  R. Manmatha,et al.  Using Maximum Entropy for Automatic Image Annotation , 2004, CIVR.

[9]  Shih-Fu Chang,et al.  VisualSEEk: a fully automated content-based image query system , 1997, MULTIMEDIA '96.

[10]  Thomas S. Huang,et al.  Unifying Keywords and Visual Contents in Image Retrieval , 2002, IEEE Multim..

[11]  Dragutin Petkovic,et al.  Query by Image and Video Content: The QBIC System , 1995, Computer.

[12]  Y. Mori,et al.  Image-to-word transformation based on dividing and vector quantizing images with words , 1999 .

[13]  Susanne Ornager.  Image Retrieval: Theoretical Analysis and Empirical User Studies on Accessing Information in Images. , 1997 .

[14]  Michael J. Swain,et al.  Color indexing , 1991, International Journal of Computer Vision.

[15]  Xinhua Zhuang,et al.  Gaussian mixture density modeling, decomposition, and applications , 1996, IEEE Trans. Image Process..

[16]  Marcel Worring,et al.  Content-Based Image Retrieval at the End of the Early Years , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[17]  R. Manmatha,et al.  A Model for Learning the Semantics of Pictures , 2003, NIPS.

[18]  David A. Forsyth,et al.  Learning the semantics of words and pictures , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[19]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[20]  Martin Szummer,et al.  Indoor-outdoor image classification , 1998, Proceedings 1998 IEEE International Workshop on Content-Based Access of Image and Video Database.

[21]  Anil K. Jain,et al.  On image classification: city vs. landscape , 1998, Proceedings. IEEE Workshop on Content-Based Access of Image and Video Libraries (Cat. No.98EX173).

[22]  Larry A. Rendell,et al.  The Feature Selection Problem: Traditional Methods and a New Algorithm , 1992, AAAI.

[23]  Hichem Frigui,et al.  Simultaneous clustering and attribute discrimination , 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).

[24]  Larry A. Rendell,et al.  A Practical Approach to Feature Selection , 1992, ML.

[25]  Alberto Del Bimbo,et al.  Visual information retrieval , 1999 .

[26]  Jonathon S. Hare,et al.  Mind the gap: another look at the problem of the semantic gap in image retrieval , 2006, Electronic Imaging.

[27]  Ramesh C. Jain,et al.  A survey on the use of pattern recognition methods for abstraction, indexing and retrieval of images and video , 2002, Pattern Recognit..

[28]  David A. Forsyth,et al.  Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary , 2002, ECCV.

[29]  Michael I. Jordan,et al.  Modeling annotated data , 2003, SIGIR.