Abstract
Indexing and retrieval by color descriptions are very important to finding certain web resources, which is typical in the example of online clothing search. However, both keyword matching and semantic mediation by the current ontologies may suffer from the semantic gap between the similarity evaluation and the human perception, which requests the exploitation of “deeper” semantics of color descriptions to reduce this gap. Considering the inherent variability and imprecision characterizing color naming, this paper proposes a novel approach to define (1) the fuzzy semantics of color names on the HSL color space together with their knowledge representation in fuzzy conceptual graphs, and (2) the associated measures to evaluate the similarity between fuzzified color descriptions. The experimental results rendered by the prototype clothing search system have preliminarily shown the strength of the deeper semantics surpassing the ability of both keywords and a concept hierarchy, in handling the matching problem of color descriptions in the targeted web resource search.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Shoemaker, S.: Colors, Subjective Relations, and Qualia. Philos. 7, 55–66 (1996)
Kedad, Z., Métais, E.: Ontology-Based Data Cleaning. In: Andersson, B., Bergholtz, M., Johannesson, P. (eds.) NLDB 2002. LNCS, vol. 2553, pp. 137–149. Springer, Heidelberg (2002)
Sarifuddin, M., Missaoui, R.: A New Perceptually Uniform Color Space with Associated Color Similarity Measure for Content-Based Image and Video Retrieval. In: Proc. of ACM SIGIR 2005 Workshop on Multimedia Information Retrieval (MMIR 2005), pp. 1–8 (2005)
Binaghi, E., Ventura, A.D., Rampini, A., Schettini, R.: A Knowledge-Based Environment for Assessment of Color Similarity. In: Proc. of the 2nd IEEE Int’l. Conf. on Tools for Artificial Intelligence, pp. 768–775 (1990)
Chien, B.-C., Cheng, M.-C.: A Color Image Segmentation Approach Based on Fuzzy Similarity Measure. In: Proc. of the 2002 IEEE Int’l. Conf. on Fuzzy Systems (FUZZ-IEEE 2002), pp. 449–454 (2002)
Younes, A.A., Truck, I., Akdag, H.: Color Image Profiling Using Fuzzy Sets. Turk. J. Elec. Engin. 13(3), 343–359 (2005)
Thomopoulos, R., Buche, P., Haemmerlé, O.: Different Kinds of Comparisons Between Fuzzy Conceptual Graphs. In: Ganter, B., de Moor, A., Lex, W. (eds.) ICCS 2003. LNCS, vol. 2746, pp. 54–68. Springer, Heidelberg (2003)
Liu, Y., Zhang, D., Lu, G., Ma, W.-Y.: Region-Based Image Retrieval with High-Level Semantic Color Names. In: Chen, Y.-P.P. (ed.) Proc. of the 11th Int’l. Conf. on Multi Media Modeling (MMM 2005), pp. 180–187 (2005)
Das, M., Manmatha, R., Riseman, E.M.: Indexing Flowers by Color Names using Domain Knowledge-driven Segmentation. In: Proc. of the 4th IEEE Workshop on Applications of Computer Vision (WACV 1998), pp. 94–99 (1998)
Wang, S., Pan, J.Z.: Ontology-Based Representation and Query of Colour Descriptions from Botanical Documents. In: Meersman, R., Tari, Z. (eds.) OTM 2005. LNCS, vol. 3761, pp. 1279–1295. Springer, Heidelberg (2005)
Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 2nd edn. Prentice-Hall, Englewood Cliffs (2002)
Sowa, J.F.: Conceptual Structures: Information Processing in Mind and Machine. Addison-Wesley, Reading (1984)
Zhong, J., Zhu, H., Li, J., Yu, Y.: Conceptual Graph Matching for Semantic Search. In: Priss, U., Corbett, D.R., Angelova, G. (eds.) ICCS 2002. LNCS (LNAI), vol. 2393, pp. 92–106. Springer, Heidelberg (2002)
Tu, K., Lu, J., Zhu, H., Liu, G., Yu, Y.: A Semantic Search Approach by Graph Matching with Negations and Inferences. In: Ganter, B., de Moor, A., Lex, W. (eds.) ICCS 2003. LNCS, vol. 2746, pp. 378–391. Springer, Heidelberg (2003)
The Official Description Logics WWW Home Page: http://dl.kr.org/
Straccia, U.: Reasoning within Fuzzy Description Logics. J. Artif. Intell. Res. 14, 137–166 (2001)
Fellbaum, C. (ed.): WordNet: An Electronic Lexical Database. MIT Press, Cambridge MA (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhu, H., Zhang, H., Yu, Y. (2006). Deeper Semantics Goes a Long Way: Fuzzified Representation and Matching of Color Descriptions for Online Clothing Search. In: Aberer, K., Peng, Z., Rundensteiner, E.A., Zhang, Y., Li, X. (eds) Web Information Systems – WISE 2006. WISE 2006. Lecture Notes in Computer Science, vol 4255. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11912873_44
Download citation
DOI: https://doi.org/10.1007/11912873_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-48105-8
Online ISBN: 978-3-540-48107-2
eBook Packages: Computer ScienceComputer Science (R0)