Abstract
Low-level image feature extraction is the basis of content based image retrieval (CBIR) systems. In that process, the usage of more than one descriptors has tremendous impact on the increasing of system accuracy. Based on that fact, in this paper we combined color and texture feature in the feature extraction process, namely Color Layout Descriptor (CLD) for color feature extraction and Edge Histogram Descriptor (EHD) for texture feature extraction. We measure the system performance on retrieving top-5, top-10, top-15, and top-20 relevant images. We successfully demonstrated in the experiment, that the combination of color and texture descriptor might be improved the performance of retrieval system, significantly. In our proposed system, the combination of CLD and EHD reaches 72.82% in accuracy, using adaptive weight in Late Fusion Method.
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References
Datta, R., Joshi, D., Li, J., Wang, J.Z.: Image retrieval: ideas, influences, and trends of the new age. ACM Comput. Surv. 40(2), 1–60 (2008)
Penatti, O.A.B.B., Valle, E., Torres, R.: Comparative study of global color and texture descriptors for web image retrieval. J. Vis. Commun. Image Represent. 23(2), 359–380 (2012)
Choraś, R.S., Andrysiak, T., Choraś, M.: Integrated color, texture and shape information for content-based image retrieval. Pattern Anal. Appl. 10(4), 333–343 (2007)
Chang, S.F., Sikora, T., Puri, A.: Overview of the MPEG-7 standard. IEEE Trans. Circuits Syst. Video Technol. 11(6), 688–695 (2001)
Sikora, T.: The MPEG-7 visual standard for content description-an overview. IEEE Trans. Circuits Syst. Video Technol. 11(6), 696–702 (2001)
Eidenberger, H.: How good are the visual MPEG-7 features? In: SPIE Visual Communications and Image Processing Conference, pp. 476–488 (2003)
Kasutani, E., Yamada, A.: The MPEG-7 color layout descriptor: a compact image feature description for high-speed image/video segment retrieval. In: International Conference on Image Processing, vol. 1, pp. 674–677 (2001)
Kim, S.M., Park, S.J., Won, C.S.: Image Retrieval via query-by-layout using MPEG-7 visual descriptors. ETRI J. 29(2), 246–248 (2007)
Jalab, H.A.: Image retrieval system based on color layout descriptor and Gabor filters. In: 2011 IEEE Conference on Open Systems, pp. 32–36 (2011)
Bleschke, M., Madonski, R., Rudnicki, R.: Image retrieval system based on combined MPEG-7 texture and colour descriptors. In: 2009 MIXDES International Conference Mixed Design of Integrated Circuits & Systems, pp. 0–4 (2009)
Won, C.S., Park, D.K., Park, S.J.: Efficient use of MPEG-7 edge histogram descriptor. ETRI J. 24(1), 23–30 (2002)
Li, J., Wang, J.Z.: Automatic linguistic indexing of pictures by a statistical modeling approach. IEEE Trans. Pattern Anal. Mach. Intell. 25(9), 1075–1088 (2003)
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Rachmawati, E., Afkar, M.S., Purnama, B. (2017). Adaptive Weight in Combining Color and Texture Feature in Content Based Image Retrieval. In: Herawan, T., Ghazali, R., Nawi, N.M., Deris, M.M. (eds) Recent Advances on Soft Computing and Data Mining. SCDM 2016. Advances in Intelligent Systems and Computing, vol 549. Springer, Cham. https://doi.org/10.1007/978-3-319-51281-5_40
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DOI: https://doi.org/10.1007/978-3-319-51281-5_40
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