Image retrieval based on integration between YCbCr color histogram and shape feature
Inhaltsverzeichnis
Referenz
Saad, M.H.; Saleh, H.I.; Konbor, H.; Ashour, M.;: Image retrieval based on integration between YCbCr color histogram and shape feature. Computer Engineering Conference (ICENCO), 2011 Seventh International , pp.97-102, 27-28 Dec. 2011
DOI
http://dx.doi.org/10.1109/ICENCO.2011.6153939
Abstract
Content-Based Image Retrieval (CBIR) considers the characteristics of the image itself, for example its shapes, colors and textures. The Current approaches to CBIR differ in terms of which image features are extracted. Recent work deals with combination of distances or scores from different and independent representations. Content-based image retrieval has many application areas such as, education, commerce, military, searching, biomedicine and web image classification. This paper proposes a new image retrieval system, which uses color and Shape descriptions information to form the feature vectors. Bhattacharyya distance and histogram intersection are used to perform feature matching. This framework integrates the ycbcr color histogram which represents the global feature and Fourier descriptor as local descriptor to enhance the retrieval results. The proposed technique is proper for precisely retrieving images even in deformation cases such as geometric deformations and noise. It is tested on a standard image databases such as Wang and UCID database. Experimental work show that the proposed approach improves the precision and recall of retrieval results compared to other approaches reported in literature.
Extended Abstract
Bibtex
@INPROCEEDINGS{6153939,
author={M. H. Saad and H. I. Saleh and H. Konbor and M. Ashour},
booktitle={Computer Engineering Conference (ICENCO), 2011 Seventh International},
title={Image retrieval based on integration between YCbCr color histogram and shape feature},
year={2011},
pages={97-102},
keywords={Fourier transforms;content-based retrieval;feature extraction;image retrieval;shape recognition;visual databases;Bhattacharyya distance;CBIR;Fourier descriptor;YCbCr color histogram;color description information;content based image retrieval;feature extraction;feature matching;geometric deformations;histogram intersection;image databases;image retrieval;independent representations;shape description information;shape feature;Image segmentation;MPEG 7 Standard;CBIR;EHD;FCTH;Fourier descriptor;Image retireval;MPEG7;YCbCr},
doi={10.1109/ICENCO.2011.6153939},
url={http://dx.doi.org/10.1109/ICENCO.2011.6153939 http://de.evo-art.org/index.php?title=Image_retrieval_based_on_integration_between_YCbCr_color_histogram_and_shape_feature },
month={Dec},
}
Used References
Mohamed Ahmed Ebrahim Helala, Mazen Mohamed Selim, Hala Helmy Zayed, "An Image Retrieval Approach Based on Composite Features and Graph Matching," iccee, vol. 1, pp.466-473, 2009 Second International Conference on Computer and Electrical Engineering, 2009. http://dx.doi.org/10.1109/ICCEE.2009.86
Shamik Sural, Gang Qian, and Sakti Pramanik. Segmentation and histogram generation using the hsv color space for image retrieval. Proceedings of the 6th ACM international conference on Image and video retrieval, Amsterdam, The Netherlands, 2:11-589-11-592, 2002. http://dx.doi.org/10.1109/ICIP.2002.1040019
Barcellos, R; Oliani, R. S.; Lorenzi, L. T.; Gonzaga, A. "Content Based Image Retrieval Using Color Autocorrelograms in HSV Color Space", In Proceedings Of Xviii Brazilian Symposium on Computer Graphics and Image Processing - Sibgrapi 2005, ISBN: 85-7669-036-5.
Ji-quan Ma, "Content-Based Image Retrieval with HSV Color Space and Texture Features," wism, pp.61-63, 2009 International Conference on Web Information Systems and Mining, 2009 http://dx.doi.org/10.1109/WISM.2009.20
M. H. Saad, H. I. Saleh, H. Konbor, M. Ashour, " Image Retrieval based on Integration between YCbCr Color Histogram and Texture Feature ", to be published at international journal of computer theory and engineering (IJCTE) in Vol. 3, No. 5, 2011. http://dx.doi.org/10.7763/IJCTE.2011.V3.395
Ka-Man Wong, Kwok-Wai Cheung and Lai-Man Po, "MIRROR: an interactive content based image retrieval system", Proceedings of IEEE International Symposium on Circuit and Systems, vol. 2, Japan, May 2005, pp. 1541-1544, 23-26. http://dx.doi.org/10.1109/ISCAS.2005.1464894
Jose M. Martinez, Mpeg-7 overview (http://www.chiariglione.org/mpeg/standards/mpeg-7/mpeg-7.htm).
Qasim Iqbal and J.K. Aggarwal. Combining structure, color and texture for image retrieval: A performance evaluation. 16th International Conference on Pattern Recognition (ICPR), 2:438-443, 2002. http://dx.doi.org/10.1109/ICPR.2002.1048333
S. A. Chatzichristo-s and Y. S. Boutalis, "FCTH - Fuzzy Color and Texture Histogram - A low level Feature for Accurate Image Retrieval ", 9th International Workshop on Image Analysis for Multimedia Interactive Services, IEEE Computer Society, Klagenfurt, Austria, 2008, pp. 191-196. http://dx.doi.org/10.1109/WIAMIS.2008.24
D. Zhang and G. Lu.," An Integrated Approach to Shape Based Image Retrieval ", ACCV2002: The 5th Asian Conference on Computer Vision, 23-25 January 2002.
D. Zhang and G. Lu.," Content-Based Shape Retrieval Using Different Shape Descriptors: A Comparative Study". In Proc. of IEEE Conference on Multimedia and Expo (ICME'01), Tokyo, August, 2001. http://dx.doi.org/10.1109/ICME.2001.1237928
Keinosuke Fukunaga. Introduction to statistical pattern recognition (2nd ed.)Academic Press. 1990.
Sylvie Philipp-Foliguet, Julien Gony, and Philippe-Henri Gosselin. Frebir: An image retrieval system based on fuzzy region matching. Comput. Vis. Image Underst., 113(6):693-707, 2009. http://dx.doi.org/10.1016/j.cviu.2008.11.002
Zhang H. LongF. and Dagan Feng D. Fundamentals of content-based image retrieval,in multimedia information retrieval and management - technological fundamentals and applications. Springer-Verlag, pages 1-26, 2003.
J. Stottinger, N. Sebe, T. Gevers, and A. Hanbury. Colour interest points for image retrieval. Vision Winter Workshop, 2007.
James Z. Wang, Jia Li and Gio Wiederhold, "SIMPLIcity: Semantics-Sensitive Integrate, Matching for Picture Libraries", IEEE transactions on pattern analysis and machine intelligence, Volume 23, no. 9, September 2001. http://dx.doi.org/10.1109/34.955109
G. Schaefer and M. Stich, "UCID -An Uncompressed Colour Image Database", Proc. SPIE, Storage and Retrieval Methods and Applications for Multimedia, pp. 472-480, San Jose, USA 2004. http://dx.doi.org/10.1117/12.525375
Links
Full Text
http://www.ijcte.org/papers/395-G1136.pdf
