A query expansion framework in image retrieval domain based on local and global analysis

[1]  J. J. Rocchio,et al.  Relevance feedback in information retrieval , 1971 .

[2]  Gerard Salton,et al.  The SMART Retrieval System—Experiments in Automatic Document Processing , 1971 .

[3]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[4]  Aviezri S. Fraenkel,et al.  Local Feedback in Full-Text Retrieval Systems , 1977, JACM.

[5]  Michael McGill,et al.  Introduction to Modern Information Retrieval , 1983 .

[6]  Carolyn J. Crouch,et al.  An approach to the automatic construction of global thesauri , 1990, Inf. Process. Manag..

[7]  Tetsuya Morita,et al.  A fuzzy document retrieval system using the keyword connection matrix and a learning method , 1991 .

[8]  Hans-Peter Frei,et al.  Concept based query expansion , 1993, SIGIR.

[9]  Thomas S. Huang,et al.  Content-based image retrieval with relevance feedback in MARS , 1997, Proceedings of International Conference on Image Processing.

[10]  Gerard Salton,et al.  Improving Retrieval Performance by Relevance Feedback , 1997 .

[11]  Christos Faloutsos,et al.  MindReader: Querying Databases Through Multiple Examples , 1998, VLDB.

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

[13]  W. Bruce Croft,et al.  Improving the effectiveness of information retrieval with local context analysis , 2000, TOIS.

[14]  Qiang Yang,et al.  A unified framework for semantics and feature based relevance feedback in image retrieval systems , 2000, ACM Multimedia.

[15]  Shih-Fu Chang,et al.  Overview of the MPEG-7 standard , 2001, IEEE Trans. Circuits Syst. Video Technol..

[16]  Edward Y. Chang,et al.  Support vector machine active learning for image retrieval , 2001, MULTIMEDIA '01.

[17]  Joo-Hwee Lim.  Building Visual Vocabulary for Image Indexation and Query Formulation , 2001, Pattern Analysis & Applications.

[18]  Lei Zhu,et al.  Theory of keyblock-based image retrieval , 2002, TOIS.

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

[20]  Chih-Jen Lin,et al.  Probability Estimates for Multi-class Classification by Pairwise Coupling , 2003, J. Mach. Learn. Res..

[21]  R. Manmatha,et al.  Automatic Image Annotation and Retrieval using CrossMedia Relevance Models , 2003 .

[22]  R. Manmatha,et al.  Automatic image annotation and retrieval using cross-media relevance models , 2003, SIGIR.

[23]  Thomas S. Huang,et al.  Relevance feedback in image retrieval: A comprehensive review , 2003, Multimedia Systems.

[24]  Mounia Lalmas,et al.  A survey on the use of relevance feedback for information access systems , 2003, The Knowledge Engineering Review.

[25]  Chin-Hui Lee,et al.  An Adaptive Image Content Representation and Segmentation Approach to Automatic Image Annotation , 2004, CIVR.

[26]  Bo Zhang,et al.  An efficient and effective region-based image retrieval framework , 2004, IEEE Transactions on Image Processing.

[27]  Mingjing Li,et al.  Relevance Feedback and Learning in Content-Based Image Search , 2004, World Wide Web.

[28]  Christopher J. C. Burges,et al.  A Tutorial on Support Vector Machines for Pattern Recognition , 1998, Data Mining and Knowledge Discovery.

[29]  S. Sathiya Keerthi,et al.  Which Is the Best Multiclass SVM Method? An Empirical Study , 2005, Multiple Classifier Systems.

[30]  Eugene Kim,et al.  Overview of the ImageCLEFmed 2006 Medical Retrieval and Medical Annotation Tasks , 2006, CLEF.

[31]  Wei-Ying Ma,et al.  Exploring statistical correlations for image retrieval , 2006, Multimedia Systems.

[32]  Bernt Schiele,et al.  International Journal of Computer Vision manuscript No. (will be inserted by the editor) Semantic Modeling of Natural Scenes for Content-Based Image Retrieval , 2022 .

[33]  Ying Liu,et al.  A survey of content-based image retrieval with high-level semantics , 2007, Pattern Recognit..

[34]  Robert Marti,et al.  Which is the best way to organize/classify images by content? , 2007, Image Vis. Comput..

[35]  James Ze Wang,et al.  Image retrieval: Ideas, influences, and trends of the new age , 2008, CSUR.

[36]  Claudio Gutierrez,et al.  Survey of graph database models , 2008, CSUR.

[37]  Bipin C. Desai,et al.  A unified image retrieval framework on local visual and semantic concept-based feature spaces , 2009, J. Vis. Commun. Image Represent..

[38]  Prabir Bhattacharya,et al.  Image retrieval with automatic query expansion based on local analysis in a semantical concept feature space , 2009, CIVR '09.

[39]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.