Classification error rate for quantitative evaluation of content-based image retrieval systems

Proceedings - International Conference on Pattern Recognition

Volumn 2, Issue , 2004, Pages 505-508

  Deselaers, Thomas ^a   Keysets, Daniel ^a   Ney, Hermann ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ANNOTATIONS; CONTENT-BASED IMAGE RETERIVAL (CBIR); ERROR RATE (ER); PERFORMANCE EVALUATION;

ALGORITHMS; CORRELATION METHODS; DATABASE SYSTEMS; GRAPH THEORY; MATRIX ALGEBRA; OBJECT RECOGNITION;

CONTENT BASED RETRIEVAL;

EID: 10044279105     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2004.1334280     Document Type: Conference Paper

References (12)

1. H. Burkhardt and S. Siggelkow. Invariant Features in Pattern Recognition - Fundamentals and Applications, chapter 7, pp. 269-307. Wiley, 2001.
2. T. Deselaers. Features for Image Retrieval. Diploma thesis, Lehrstuhl für Informatik VI, RWTH Aachen, University of Technology, Aachen, Germany, Dec. 2003.
3. D. Fend, W. Siu, and H. Zhang, editors. Multimedia Information Retrieval and Management - Technological Fundamentals and Applications. Springer, 2003.
4. R. Fergus, P. Perona, and A. Zissermann. Object Class Recognition by Unsupervised Scale-invariant Learning. In Proc. CVPR, pp. 264-271, Blacksburg, VG, June 2003.
5. H. Müller, W. Müller, D. M. Squire, S. Marchand-Maillet, and T. Pun. Performance Evaluation in Content-based Image Retrieval: Overview and Proposals. Pattern Recognition Letters, 22(5):593-601, 2001.
6. S. Obdrzalek and J. Matas. Image Retrieval Using Local Compact DCT-based Representation. In Proc. DAGM, LNCS 2781, pp. 490-497, Magdeburg, Germany, Sept. 2003.
7. R. Paredes, J. Perez-Cortes, A. Juan, and E. Vidal. Local Representations and a Direct Voting Scheme for Face Recognition. In Workshop on Pattern Recognition in Information Systems, pp. 71-79, Setúbal, Portugal, July 2001.
8. H. Shao, T. Svoboda, T. Tuytelaars, and L. V. Gool. HPAT Indexing for Fast Object/Scene Recognition based on Local Appearance. In Proc. CIVR, LNCS 2728, pp. 71-80, Urbana-Champaign, IL, July 2003.
9. H. Shao, T. Svoboda, and L. van Gool. ZuBuD - Zurich Buildings Database for Image Based Recognition. Technical Report No. 260, Computer Vision Lab, Swiss Federal Institute of Technology, Zurich, Switzerland, Apr. 2003.
10. A.W.M. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain. Content-based Image Retrieval: The End of the Early Years. IEEE Trans. PAMI, 22(12):1349-1380, Dec. 2000.
11. H. Tamura, S. Mori, and T. Yamawaki. Textural Features Corresponding to Visual Perception. IEEE Trans. Systems, Man, and Cybemetcs, SMC-8(6):460-472, June 1978.
12. M. Weber. Unsupervised Learning of Models for Object Recognition. PhD thesis, California Institute of Technology, Pasadena, CA, 2000.