FIRE - Flexible image retrieval engine: ImageCLEF 2004 evaluation

Lecture Notes in Computer Science

Volumn 3491, Issue , 2005, Pages 688-698

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

^a RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; COMPUTER PROGRAMMING LANGUAGES; FEATURE EXTRACTION; MEDICAL APPLICATIONS; QUERY LANGUAGES; TEXT PROCESSING;

IMAGE RETRIEVAL ENGINES; MEDICAL RETRIEVAL; QUERY FORMULATIONS; TEXTUAL INFORMATION;

CONTENT BASED RETRIEVAL;

EID: 24944436314     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11519645_67     Document Type: Conference Paper

References (17)

1. Smeulders, A.W.M., Worring, M., Santini, S., Gupta, A., Jain, R.: Content-based image retrieval: The end of the early years. IEEE Trans. on Pattern Analysis and Machine Intelligence 22 (2000) 1349-1380
2. Müller, H., Müller, W., Marchand-Maillet, S., Squire, D.M.: Strategies for positive and negative relevance feedback in image retrieval. In: International Conference on Pattern Recognition. Volume 1 of Computer Vision and Image Analysis, Barcelona, Spain (2000) 1043-1046
3. Deselaers, T.: Features for image retrieval. Diploma thesis, Lehrstuhl für Informatik VI, RWTH Aachen University, Aachen, Germany (2003)
4. Faloutsos, C., Barber, R., Flickner, M., Hafner, J., Niblack, W., Petkovic, D., Equitz, W.: Efficient and effective querying by image content. Journal of Intelligent Information Systems 3 (1994) 231-262
5. Puzicha, J., Rubner, Y., Tomasi, C., Buhmann, J.: Empirical evaluation of dissimilarity measures for color and texture. In: International Conference on Computer Vision. Volume 2, Corfu, Greece (1999) 1165-1173
6. Keysers, D., Gollan, C., Ney, H.: Classification of medical images using non-linear distortion models. In: Bildverarbeitung für die Medizin, Berlin, Germany (2004) 366-370
7. Keysers, D., Gollan, C., Ney, H.: Local context in non-linear deformation models for handwritten character recognition. In: International Conference on Pattern Recognition. Volume 4, Cambridge, UK (2004) 511-514
8. Keysers, D., Macherey, W., Ney, H., Dahmen, J.: Adaptation in statistical pattern recognition using tangent vectors. IEEE Trans. on Pattern Analysis and Machine Intelligence 26 (2004) 269-274
9. Haberäcker, P.: Praxis der Digitalen Bildverarbeitung und Mustererkennung. Carl Hanser Verlag, München, Wien (1995)
10. Haralick, R.M., Shanmugam, B., Dinstein, I.: Texture features for image classification. IEEE Trans. on Systems, Man, and Cybernetics 3 (1973) 610-621
11. Gu, Z.Q., Duncan, C.N., Renshaw, E., Mugglestone, M.A., Cowan, C.F.N., Grant, P.M.: Comparison of techniques for measuring cloud texture in remotely sensed satellite meteorological image data. Radar and Signal Proc. 136 (1989) 236-248
12. Tamura, H., Mori, S., Yamawaki, T.: Textural features corresponding to visual perception. IEEE Trans. on Systems, Man, and Cybernetics 8 (1978) 460-472
13. Siggelkow, S.: Feature Histograms for Content-Based Image Retrieval. PhD thesis, University of Freiburg, Institute for Computer Science, Freiburg, Germany (2002)
14. Deselaers, T., Keysers, D., Ney, H.: Features for image retrieval - a quantitative comparison. In: DAGM 2004, Pattern Recognition, 26th DAGM Symposium. Number 3175 in LNCS, Tübingen, Germany (2004) 228-236
15. Clough, P., Müller, H., Sanderson, M.: The CLEF Cross Language Image Retrieval Track (ImageCLEF) 2004. In: Fifth Workshop of the Cross-Language Evaluation Forum (CLEF 2004). LNCS (2005) in press
16. Deselaers, T., Keysers, D., Ney, H.: Classification error rate for quantitative evaluation of content-based image retrieval systems. In: International Conference on Pattern Recognition. Volume 2, Cambridge, UK (2004) 505-508
17. Lehmann, T., Güld, M., Thies, C., Fischer, B., Spitzer, K., Keysers, D., Ney, H., Kohnen, M., Schubert, H., Wein, B.: The irma project - a state of the art report on content-based image retrieval in medical applications. In: Korea-Germany Joint Workshop on Advanced Medical Image Processing, Seoul, Korea (2003) 161-171