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Principles of Visual Information Retrieval 2001

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Michael S. Lew:
Principles of Visual Information Retrieval. Advances in Computer Vision and Pattern Recognition, Springer 2001, ISBN 978-1-84996-868-3

Fundamental Principles

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Michael S. Lew, Thomas S. Huang:
Visual Information Retrieval: Paradigms, Applications, and Research Issues. 3-10
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Theo Gevers:
Color-Based Retrieval. 11-49
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Nicu Sebe, Michael S. Lew:
Texture Features for Content-Based Retrieval. 51-85
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Remco C. Veltkamp, Michiel Hagedoorn:
State of the Art in Shape Matching. 87-119
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Jean-Michel Jolion:
Feature Similarity. 121-143
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Michael S. Lew:
Feature Selection and Visual Learning. 145-162
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Michael S. Lew, Nicu Sebe, Paul C. Gardner:
Video Indexing and Understanding. 163-196

Advanced Topics

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Shi-Kuo Chang, Erland Jungert:
Query Languages for Multimedia Search. 199-217
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Yong Rui, Thomas S. Huang:
Relevance Feedback Techniques in Image Retrieval. 219-258
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Stan Sclaroff, Marco La Cascia, Saratendu Sethi, Leonid Taycher:
Mix and Match Features in the ImageRover Search Engine. 259-277
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Vassilis Athitsos, Charles H. Frankel, Michael J. Swain:
Integrating Analysis of Context and Image Content. 279-296
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Clement H. C. Leung, Simon So, Audrey M. Tam, Dwi Sutanto, Philip Kwok Chung Tse:
Semantic-Based Retrieval of Visual Data. 297-318
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John P. Eakins:
Trademark Image Retrieval. 319-350

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