Fuzzy aesthetic semantics description and extraction for art image retrieval

Computers and Mathematics with Applications

Volumn 57, Issue 6, 2009, Pages 1000-1009

  Li, Qingyong ^a   Luo, Siwei ^a   Shi, Zhongzhi ^b  

^a BEIJING JIAOTONG UNIVERSITY   (China)

^b INSTITUTE OF COMPUTING TECHNOLOGY   (China)

Author keywords

Art image retrieval; Content based image retrieval; Fuzzy set; Linguistic variable

Indexed keywords

CONTENT BASED RETRIEVAL; FEATURE EXTRACTION; FUZZY SETS; IMAGE PROCESSING; INFORMATION RETRIEVAL; INFORMATION THEORY; LINGUISTICS; NEURAL NETWORKS; SEMANTICS; VISUAL COMMUNICATION;

AESTHETIC PERCEPTIONS; ART IMAGE RETRIEVAL; CONTENT-BASED IMAGE RETRIEVAL; DAILY LIVES; EMPIRICAL STUDIES; EXCELLENT PERFORMANCE; FUZZY APPROACHES; FUZZY SET; HIGH-LEVEL SEMANTICS; IMAGE SETS; LINGUISTIC EXPRESSIONS; LINGUISTIC VARIABLE; RETRIEVAL ACCURACIES; RETRIEVAL TECHNOLOGIES; SEMANTIC FEATURES; VISUAL INFORMATIONS;

IMAGE RETRIEVAL;

EID: 60349124508     PISSN: 08981221     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.camwa.2008.10.058     Document Type: Article

References (12)

1. Smeulders A., Worring M., Santini S., et al. Content-based image retrieval at the end of the early years. IEEE Transaction on PAMI 22 12 (2000) 1349-1379
2. Colombo C., et al. Semantics in visual information retrieval. IEEE Multimedia 6 3 (1999) 38-53
3. Shuqiang Jiang, Tiejun Huang, Wen Gao, An ontology-based approach to retrieval digitized art images, in: Proceeding of the IEEE/WIC/ACM International Conference on Web Intelligence, 2004, pp. 131-137
4. Li Q., Shi Z., and Shi Z. Linguistic Expression Based Image Description Framework and its Application to Image Retrieval. In: Nachtegael M., Van der Weken D., Kerre E.E., and Philips W. (Eds). Soft Computing in Image Processing-Recent Advances Series: Studies in Fuzziness and Soft Computing vol. 210 (2007) 97-120
5. C.C. Chen, A.D. Bimbo, G. Amato, N. Boujemaa, et al. Report of the delos-nsf working group on digital imagery for significant cultural and historical materials, DELOS-NSF Reports, December, 2002
6. Liu Y., Zhang D., Lu G., and Ma W.Y. A survey of content-based image retrieval with high-level semantics. Pattern Recognition 40 (2007) 262-282
7. Datta R., Joshi D., Li J., and Wang J. Studying aesthetics in photographic images using a computational approach. ECCV 3 (2006) 288-301
8. Zadeh L.A. The concept of a linguistic variable and its application to approximate reasoning - I. Information Sciences 8 (1975) 199-249
9. Zadeh L.A. The concept of a linguistic variable and its application to approximate reasoning - II. Information Sciences 8 (1975) 301-357
10. Zadeh L.A. The concept of a linguistic variable and its application to approximate reasoning - III. Information Sciences 9 (1975) 43-80
11. R. Arnheim, Art and Visual Perception: A Psychology of the Creative Eye, Regents of the University of California, Palo Alto, CA, 1954
12. Itten J. The Art of Color: The Subjective Experience and Objective Rationale of Color (1997), Wiley