Evaluating machine learning techniques for automatic image annotations

6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

Volumn 7, Issue , 2009, Pages 245-249

  Alham, Nasullah Khalid ^a   Li, Maozhen ^a   Hammoud, Suhel ^a   Qi, Hao ^a  

^a BRUNEL UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC IMAGE ANNOTATION; CONTENT-BASED IMAGE RETRIEVAL; EVALUATION RESULTS; IMAGE ANNOTATION; LOW-LEVEL FEATURES; MACHINE LEARNING TECHNIQUES; RAPID DEVELOPMENT; RETRIEVAL ACCURACY; SEMANTIC GAP; VISUAL FEATURE;

FUZZY SYSTEMS; IMAGE ANALYSIS; IMAGE RETRIEVAL; LEARNING ALGORITHMS; LEARNING SYSTEMS; SEMANTICS;

FEATURE EXTRACTION;

EID: 76549086770     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FSKD.2009.531     Document Type: Conference Paper

References (20)

1. AWM Smeulders, M. Worring, S. Santini, A. Gupta, R. Jain, Content based Image Retrieval at the end of The Early Years". IEEE Transactions on Pattern and Machine Intelligence, vol. 22, no. 12, pp. 1349-1380, 2000.
2. L. Breiman, Bagging Predictors, Machine Learning, vol. 24, no. 2, pp. 123-140, 1996.
3. th International Conference on Machine Learning, pp. 148-156, 1996.
4. th Annual ACM Conference on Multimedia, pp. 467-470, 2005.
5. Y. Liu, D. Zhang, G. Lu, W. Ma, A Survey of Content-based Image Retrieval with High-Level Semantics, Pattern Recognition, vol. 40, no. 1, pp. 262-282, 2007.
6. Z. Gong, Q. Liu, J. Zhang, Web Image Retrieval Refinement by Visual Contents", Proc. of WAIM, pp. 134-145, 2006.
7. T. Berners-Lee, J. Hendler, and O. Lassila, The Semantic Web, Scientific American, 284(4):34-43, 2001.
8. O. Marques, N. Barman, Semi-Automatic Semantic Annotation of Images Using Machine Learning Techniques, Proc. of ISWC, pp. 550-565, 2003.
9. K.Petridis, et al, M-OntoMat-Annotizer: Image Annotation. Linking Ontologies and Multimedia Low-Level Features, Proc. of KES, pp. 633-640, 2006.
10. L.Hollink, A.Th.Schreiber, J.Wielemaker, B.Wielinga, Semantic Annotation of Image Collections, Proc. of KCAP'03.
11. H. Wang, S. Liu, L. Chia, Does Ontology Help in Image Retrieval? A Comparison between Keyword, Text Ontology and Multi-Modality Ontology Approaches, Proc. of ACM Multimedia, pp. 109-112, 2006.
12. J. Vompras, S. Conrad, A Semi-Automated Framework for Supporting Semantic Image Annotation, Proc. of ISWC, pp. 105-109, 2005.
13. O. Marques, N. Barman, Semi-Automatic Semantic Annotation of Images Using Machine Learning Techniques, Proc. of ISWC, pp. 550-565, 2003.
14. L. Wenyin, S. Dumais, Y. Sun, H. Zhang, M. Czerwinski and B. Field, Semi-Automatic Image Annotation, Proc. of INTERACT, pp.326-333, 2001.
15. A. Yavlinsky, E. Schofield, S. M. Rüger, Automated Image Annotation using Global Features and Robust Nonparametric Density Estimation, Proc. of CIVR, pp. 507-517, 2005.
16. J. Jeon, V. Lavrenko, and R. Manmatha, Automatic Image Annotation and Retrieval using Cross-Media Relevance Models, Proc. ACM SIGIR, pp. 119-126, 2003.
17. R. Jin, J. Chai, L. Si, Effective Automatic Image Annotation via a Coherent Language Model and Active Learning, Proc. of ACM Conference on Multimedia, pp. 892-899, 2004.
18. C. Wang, F. Jing, L. Zhang, H. Zhang, Content-Based Image Annotation Refinement, Proc. of CVPR, 2007.
19. T. Sikora, The MPEG-7 Visual Standard for Content Description - An Overview, IEEE Transactions on Circuits Systems and Video Technologies, vol. 11, no. 6, pp.696-702, 2001.
20. J. Platt, A Fast Algorithm for Training Support Vector Machines" Microsoft Research Tech Rep MSR-TR-98-14, 1998.