Automatic image annotation for semantic image retrieval

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4781 LNCS, Issue , 2007, Pages 369-378

  Shao, Wenbin ^a   Naghdy, Golshah ^a   Phung, Son Lam ^a  

^a UNIVERSITY OF WOLLONGONG   (Australia)

Author keywords

Image annotation; MPEG 7 visual descriptors; Pattern classification; Support vector machines

Indexed keywords

EDGE DETECTION; IMAGE CLASSIFICATION; MOTION PICTURE EXPERTS GROUP STANDARDS; SEMANTICS; SUPPORT VECTOR MACHINES;

IMAGE ANNOTATION; VISUAL DESCRIPTORS;

IMAGE RETRIEVAL;

EID: 38349032614     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-76414-4_36     Document Type: Conference Paper

References (21)

1. Long, F., Zhang, H., Feng, D.: Fundamentals of content-based image retrieval. In: Feng, D., Siu, W.C., Zhang, H.J. (eds.) Multimedia Information Retrieval and Management - Technological Fundamentals and Applications, Springer, Heidelberg (2002)
2. Smeulders, A.W.M., Worring, M., Santini, S., Gupta, A., Jain, R.: Content-based image retrieval at the end of the early years. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(12), 1349-1380 (2000)
3. Datta, R., Li, J., Wang, J.Z.: Content-based image retrieval: approaches and trends of the new age. In: The 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, pp. 253-262. ACM Press, New York (2005)
4. Eakins, J.P.: Retrieval of still images by content. In: Agosti, M., Crestani, F., Pasi, G. (eds.) ESSIR 2000. LNCS, vol. 1980, pp. 111-138. Springer, Heidelberg (2001)
5. Yiu, E.C.: Image classification using color cues and texture orientation. PhD thesis, Massachusetts Institute of Technology (1996)
6. Szummer, M., Picard, R.W.: Indoor-outdoor image classification. In: IEEE International Workshop on Content-Based Access of Image and Video Database, pp. 42-51. IEEE Computer Society Press, Los Alamitos (1998)
7. Vailaya, A., Jain, A., Zhang, H.J.: On image classification: city vs. landscape. In: IEEE Workshop on Content-Based Access of Image and Video Libraries, pp. 3-8. IEEE Computer Society Press, Los Alamitos (1998)
8. Vailaya, A., Figueiredo, M., Jain, A., Zhang, H.J.: Content-based hierarchical classification of vacation images. IEEE International Conference on Multimedia Computing and Systems 1, 518-523 (1999)
9. Lienhart, R., Hartmann, A.: Classifying images on the web automatically. Journal of Electronic Imaging 11(4), 445-454 (2002)
10. Hu, G.H., Bu, J.J., Chen, C.: A novel bayesian framework for indoor-outdoor image classification. International Conference on Machine Learning and Cybernetics 5, 3028-3032 (2003)
11. Gonzalez, R.C., Woods, R.E.: Digital image processing. Prentice Hall, New York (2002)
12. Gonzalez, R.C., Woods, R.E., Eddins, S.L.: Digital image processing using MATLAB. Prentice Hall, New York (2004)
13. Manjunath, B.S., Salembier, P., Sikora, T. (eds.): Introduction to MPEG-7: Multimedia content description interface. Wiley, Milton (2002)
14. MPEG-7 Video Group. Text of ISO/IEC 15938-3/FDIS information technology - Multimedia Content Description Interface - Part 3 Visual. In: ISO/IEC JTC1/SC29/WG11/N4358, Sydney (2001)
15. Nack, F., Lindsay, A.T.: Everything you wanted to know about MPEG-7, part 1. IEEE Multimedia 6(3), 65-77 (1999)
16. Nack, F., Lindsay, A.T.: Everything you wanted to know about MPEG-7part 2. IEEE Multimedia 6(4), 64-73 (1999)
17. Burges, C.J.C.: A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery 2(2), 121-167 (1998)
18. Cristianini, N., Shawe-Taylor, J.: An introduction to support vector machines and other kernel-based learning methods. Cambridge University Press, Cambridge (2001)
19. Abe, S.: Support vector machines for pattern classification, Springer, New York (2005)
20. Institute for Integrated Systems. MPEG-7 experimentation Model (XM), Software (2005), available at http://www.lis.e-technik.tu-muenchen.de/research/ bv/topics/mmdb/mpeg7.html
21. Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines, Software (2007), available at http://www.csie.ntu.edu.tw/~cjlin/libsvm