An Efficient Method for Color-Based Image Retrieval System
DOI:
https://doi.org/10.51983/ajes-2014.3.2.1922Abstract
Content-based image retrieval systems retrieve images from a database that are determined to be similar to a query image based only on features extracted from the images. This paper focuses on color-based image retrieval. We define methods to improve the efficiency and effectiveness of color-based retrieval. We have tested our system using a collection of color images and query images. Color histograms are used to extract and store the color content of the images. Our empirical results are very encouraging. The main aim of this paper is to reduce substantially the total color space without degrading retrieval performance. In addition, we are able to improve performance by conducting object retrieval based solely on color.
References
T. S. Huang, Y. Rui, and S.-F. Chang, "Image retrieval: Past, Present and Future," in Proc. Int. Symp. Multimedia Inf. Process., 2007.
C. C. Venters and M. Cooper, "Content-based image retrieval," Tech. Rep., JISC Technology Application Program, 2009.
S. Selvam and Dr. S. Thabasu Kannan, "Design of an Effective Method for Image Retrieval," Int. J. Innovative Res. Adv. Eng., vol. 1, Mar. 2014, pp. 51-56.
S. Selvam and Dr. S. Thabasu Kannan, "An Empirical Review on Image Retrieval System by using Relevance Feedback," in Proc. Int. Symp. Research Innovation Quality Improvement Higher Education, Bharathiar University, Coimbatore, Oct. 2014, pp. 1-11.
P. G. B Enser, "Query analysis in a visual information retrieval context," J. Doc. Text Manage., pp. 25-52, 2013.
M. M. Flickner et al., "Query by image content: The QBIC system," IEEE Comput., pp. 23-31, Sept. 2009.
P. M. Kelly, M. Cannon, and D. R. Hush, "Query by Image Example: The CANDID approach," in Storage Retrieval Image Video Databases III, vol. 2420, pp. 238-248, SPIE, 2010.
C. Carson et al., "Blobworld: Image segmentation using Expectation-Maximization and its application to image querying," in Proc. Third Int. Conf. Visual Inf. Syst., 2012.
M. Das, E. M. Riseman, and B. A. Draper, "Focus: Searching for multi-colored objects in a diverse image database," in Proc. IEEE Conf. Comp. Vis. Pattern Recognit., pp. 756-761, Jun. 1997.
V. E. Ogle and M. Stonebraker, "Chabot: retrieval from a relational database of images," IEEE Comput., vol. 28, no. 9, pp. 40-48, Sept. 1995.
M. Ortega et al., "Supporting Similarity Queries," in Proc. ACM Int. Multimedia Conf., pp. 403-413, 2013.
P. Kerminen and M. Gabbouj, "The Visual Goodness Evaluation of Colors Based Retrieval Processes."
M. J. Swain and D. H. Ballard, "Indexing via Color Histograms," in Proc. ICCV'90, pp. 390-393, 1990.
T.-S. Chua, W.-C. Low, and C.-X. Chu, "Relevance feedback techniques for color-based image retrieval," in Proc. Multi-Media Modeling'98, IEEE Computer Society, pp. 24-31, 2011.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2014 The Research Publication
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.