Image Retrieval Techniques for Color based Images from Large Set of DataBase
|
10.5120/5035-7186 |
Venkata Ramana R Chary, Rajya D Lakshmi and K V N Sunitha. Article: Image Retrieval Techniques for Color based Images from Large Set of DataBase. International Journal of Computer Applications 40(4):33-39, February 2012. Full text available. BibTeX
@article{key:article,
author = {R. Venkata Ramana Chary and D. Rajya Lakshmi and K. V. N. Sunitha},
title = {Article: Image Retrieval Techniques for Color based Images from Large Set of DataBase},
journal = {International Journal of Computer Applications},
year = {2012},
volume = {40},
number = {4},
pages = {33-39},
month = {February},
note = {Full text available}
}
Abstract
In content-based image retrieval, interactive systems have attracted a lot of research interest in recent years. Comparatively early systems, which focused on fully automatic strategies, recent approaches have supporting many are concentrated. Assuming that a user is looking for a set of images with similar feature using the query concept within a huge database . Proposed system focus on the retrieval of images within a large image collection based on color projections and different geometric mathematical approaches are applied for retrieval of images . before Appling rules images are sub grouping using threshold method , in this paper R G B color combinations considered for retrieval of images and reduced comparing steps . this technique obtained fast and efficient results comparatively previous methods . the aim is to improve the efficiency to retrieve the query Concept.
References
- Image Annotation by Input-Output Structural Grouping Sparsity Han, Y.; Wu, F.; Tian, Q.; Zhuang, Y.; Y. Han is with the School of Computer Science and Technology, Tianjin University, China[JAN 2012]
- R.Datta, D.Joshi, J.Li, J.Z.Wang. “Image Retrieval: ideas , Influences, and Trends of the New Age”. ACM Transactions on Com?puting Surveys, Vol. 40, No. 2(2008)
- Najlae Idrissi. “Bridging the Semantic Gap for Texture?based Image Retrieval and Navigation, Journal Of Multimedia”, Vol.4, No.5, October 2009
- M. L. Kherfi, D. Ziou, and A. Benard. “Image retrieval from the World Wide Web: Issues, techniques and systems”. ACM Computing Surveys, 36(1):35{67, 2006}
- A. W. M. Smeulders , M. Worring, S. Santini, A. Gupta, and R. Jain. “Content?based image retrieval at the end of the early years”. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(12):1349?1380, December 2008.
- Tag-based Image Retrieval Improved by Augmented Features and Group-based Refinement Chen, L.; Xu, D.; Tsang, I.; Luo, J.; IEEE(JAN 2012)
- P.L. Stanchev, D. Green Jr., B. Dimitrov, “High level color simi?larity retrieval”, Int. J. Inf. Theories Appl. 10 (3) (2003) 363–369.
- V. Mezaris, I. Kompatsiaris, M.G. Strintzis, “An ontology approach to object?based image retrieval”, Proceedings of the ICIP, vol. II, 2003, pp. 511–514 .
- Huan Wang, Song Liu, liang tien chia. “Image retrieval with a multi?modality ontology”. Multimedia System (2008)
- Aigrain, P et al (1996) “Content-based representation and retrieval of visual media – a state-of-the-art review” Multimedia Tools and Applications 3(3), 179-202.
- Stricker, M and Orengo, M (1995) “Similarity of color images” in Storage and Retrieval for Image and Video Databases III (Niblack, W R and Jain, R C, eds), Proc SPIE 2420, pp 381-392
- Androutsas, D et al (1998) “Image retrieval using directional detail histograms” in Storage and Retrieval for Image and Video Databases VI, Proc SPIE 3312, 129-137
- R.Venkata Ramana Chary , Dr. D. Rajya Lakshmi, Dr. K.V.N. Sunitha Published an International Journal on “Image Retrieval and Similarity Measurement Based on Image Feature” in International Journal of Computer Science and Technology (IJCST) Volume 2 ,Issue 4 OCT-DEC 2011.PP385-389 ISSN :0976-8491(ONLINE)|ISSN:2229-4333(PRINT).
- R.Venkata Ramana Chary, Dr. K.V.N. Sunitha, Dr. D. Rajya Lakshmi Published an International journal “Quality Measures on Multispectral Images” in international journal of Image Processing and Applications(IJIPA) ,volume 2(1),2011,July- December 2011 .pp 101-105 ISSN:0975-8178.