Abstract
In this paper, a textile image search system is proposed to query similar textile images in an image database. Five feature descriptors about the color, texture, and shape defined in the MPEG-7 specification, which are relevant to textile image characteristics, are extracted from a dataset. First, we tune the feature weights using a genetic algorithm, based on a predefined training dataset. Then, for each extracted feature descriptor, we use K-means to partition it into four clusters and combine them together to obtain an MPEG-7 signature. Finally, when users input a query image, the system finds out similar images by combining the results based on MPEG-7 signatures and the ones in three nearest classes. The experimental results show that the similar images returned from an image database to a query textile image are acceptable for humans and with good quality.
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References
Bober, M.: MPEG-7 visual shape descriptors. IEEE Transactions on Circuits and Systems for Video Technology 11(6), 716–719 (2001)
Chang, S.F., Sikora, T., Puri, A.: Overview of the MPEG-7 standard. IEEE Transactions on Circuits and Systems for Video Technology 11(6), 688–695 (2001)
Huang, Y.F., Chen, H.W.: A multi-type indexing CBVR system constructed with MPEG-7 visual features. In: Zhong, N., Callaghan, V., Ghorbani, A.A., Hu, B. (eds.) AMT 2011. LNCS, vol. 6890, pp. 71–82. Springer, Heidelberg (2011)
ISO/IEC 15938-3, Information Technology – Multimedia Content Description Interface-Part3: Visual (2002)
King, I., Lau, T.K.: A feature-based image retrieval database for the fashion, textile, and clothing industry in Hong Kong. In: Proc. International Symposium on Multi-technology Information Processing, pp. 233–240 (1996)
Lai, C.C., Chen, Y.C.: A user-oriented image retrieval system based on interactive genetic algorithm. IEEE Transactions on Instrumentation and Measurement 60(10), 3318–3325 (2011)
Manjunath, B.S., Ohm, J.R., Vasudevan, V.V., Yamada, A.: Color and texture descriptors. IEEE Transactions on Circuits and Systems for Video Technology 11(6), 703–715 (2001)
Martinez, J.M., Koenen, R., Pereira, F.: MPEG-7: the generic multimedia content description standard, part 1. IEEE Multimedia 9(2), 78–87 (2002)
Martinez, J.M.: MPEG-7 overview (version 10). ISO/IEC JTC1/SC29/WG11 N6828 (2004)
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)
Whitley, D.: A genetic algorithm tutorial. Statistics and Computing 4(2), 65–85 (1994)
Zhang, Y., Milios, E., Zincir-Heywood, N.: Narrative text classification for automatic key phrase extraction in web document corpora. In: Proc. the 7th Annual ACM International Workshop on Web Information and Data Management, pp. 51–58 (2005)
Globle-Tex Co., Ltd., http://www.globle-tex.com/
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Huang, YF., Lin, SM. (2014). Searching Images in a Textile Image Database. In: Tan, Y., Shi, Y., Coello, C.A.C. (eds) Advances in Swarm Intelligence. ICSI 2014. Lecture Notes in Computer Science, vol 8795. Springer, Cham. https://doi.org/10.1007/978-3-319-11897-0_32
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DOI: https://doi.org/10.1007/978-3-319-11897-0_32
Publisher Name: Springer, Cham
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