List of Journals    /    Call For Papers    /    Subscriptions    /    Login
 
 
 
 
 SEARCH
By Author By Title
 
 
ABOUT CSC
 About CSC Journals
 CSC Journals Objectives
 List of Journals
 CALL FOR PAPERS
 Call For Papers CFP
 Special Issue CFP
AUTHOR GUIDELINES
 Submission Guidelines
 Peer Review Process
 Helpful Hints For Getting Published
 Plagiarism Policies
 Abstracting & Indexing
 Open Access Policy
 Submit Manuscript
 FOR REVIEWERS
 Reviewer Guidelines
 FOR EDITORIAL
 Editor Guidelines
 Join Us As Editor
 Launch Special Issue
 Suggest New Journal
 CSC LIBRARY
 Browse CSC Library
 Open Access Policy
  SERVICES
 Conference Partnership Program (CPP)
 Abstracting & Indexing
 SUBSCRIPTIONS
 Subscriptions
 Discounted Packages
 Archival Subscriptions
 How to Subscribe
 Librarians
 Subscriptions Agents
 Order Form
 DOWNLOADS
 
 
 
 
Content Based Image Retrieval using Color Boosted Salient Points and Shape features of an image
Full text
 PDF(174.5KB)
Source 
International Journal of Image Processing (IJIP)
Table of Contents
Download Complete Issue    PDF(1.27MB)
Volume:  2    Issue:  1
Pages:  1-34
Publication Date:   February 2008
ISSN (Online): 1985-2304
Pages 
10 - 17
Author(s)  
Hiremath P.S - India
 
Published Date   
30-02-2008 
Publisher 
CSC Journals, Kuala Lumpur, Malaysia
ADDITIONAL INFORMATION
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
 
KEYWORDS:   Color saliency, Local descriptors, Gradient vector flow field 
 
 
This Manuscript is indexed in the following databases/websites:-
1. Directory of Open Access Journals (DOAJ)
2. OpenJ-Gate
3. ScientificCommons
4. Docstoc
5. Scribd
6. PDFCAST
7. WorldCat
8. Google Scholar
9. CiteSeerX
10. Academic Index
11. refSeek
12. Bielefeld Academic Search Engine (BASE)
13. ResearchGATE
14. Microsoft Academic Search
15. iSEEK
16. Socol@r
 
 
Salient points are locations in an image where there is a significant variation with respect to a chosen image feature. Since the set of salient points in an image capture important local characteristics of that image, they can form the basis of a good image representation for content-based image retrieval (CBIR). Salient features are generally determined from the local differential structure of images. They focus on the shape saliency of the local neighborhood. Most of these detectors are luminance based which have the disadvantage that the distinctiveness of the local color information is completely ignored in determining salient image features. To fully exploit the possibilities of salient point detection in color images, color distinctiveness should be taken into account in addition to shape distinctiveness. This paper presents a method for salient points determination based on color saliency. The color and texture information around these points of interest serve as the local descriptors of the image. In addition, the shape information is captured in terms of edge images computed using Gradient Vector Flow fields. Invariant moments are then used to record the shape features. The combination of the local color, texture and the global shape features provides a robust feature set for image retrieval. The experimental results demonstrate the efficacy of the method. 
 
 
 
1 Ritendra Datta, Dhiraj Joshi, Jia Li and James Wang, "Image Retrieval: Ideas, Influences, and Trends of the New Age", Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval, November 10-11, 2005, Hilton, Singapore.
2 C. Carson, S. Belongie, H. Greenspan, and J. Malik, "Blobworld: Image Segmentation Using Expectation-Maximization & Its Application to Image Querying," in IEEE Trans. On PAMI, vol. 24, No.8, pp. 1026-1038, 2002.
3 Y. Chen and J. Z. Wang, "A Region-Based Fuzzy Feature Matching Approach to Content-Based Image Retrieval," in IEEE Trans. On PAMI, vol. 24, No.9, pp. 1252-1267, 2002.
4 . J. Li, J.Z. Wang, and G. Wiederhold, "IRM: Integrated Region Matching for Image Retrieval," in Proc. of the 8th ACM Int. Conf. on Multimedia, pp. 147-156, Oct. 2000.
5 http://wang.ist.psu.edu
6 R. Rahamani, S. Goldman, H. Zhang, J. Krettek and J. Fritts, “Localized content-based image retrieval”, ACM workshop on Multimedia Image Retrieval, pp. 227-236, 2005.
7 Chenyang Xu, Jerry L Prince, "Snakes,Shapes, and Gradient Vector Flow", IEEE Transactions on Image Processing, Vol-7, No 3,PP 359-369, March 1998.
8 T. Gevers and A.W.M. Smeuiders., "Combining color and shape invariant features for image retrieval", Image and Vision computing, vol.17(7),pp. 475-488 , 1999.
9 A.K.Jain and Vailalya,, "Image retrieval using color and shape", pattern recognition, vol. 29, pp. 1233-1244, 1996.
10 D.Lowe, "Distinctive image features from scale invariant keypoints", International Journal of Computer vision, vol. 2(6),pp.91-110,2004.
11 K.Mikolajezyk and C.Schmid, "Scale and affine invariant interest point detectors", International Journal of Computer Vision, vol. 1(60),pp. 63-86, 2004.
12 C. Harris and M. Stephens, "A combined corner and edge detectors", 4th Alvey Vision Conference, pp. 147-151, 1988.
13 QTian, Y. Wu and T. Huang, “Combine user defined region-of-interest and spatial layout for image retrieval”, ICIP 2000.
14 P. Howarth and S.Ruger, "Robust texture features for still-image retrieval", IEE. Proceedings of Visual Image Signal Processing, Vol. 152, No. 6, December 2005.
15 Dengsheng Zhang, Guojun Lu, "Review of shape representation and description techniques", Pattern Recognition Vol. 37, pp 1-19, 2004.
16 J. van de Weijer, Th. Gevers, J-M Geusebroek, "Boosting Color Saliency in Image Feature Detection", IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 27 (4), April 2005.
 
 
 
 
 
 
 
 
Hiremath P.S : Colleagues
Jagadeesh Pujari : Colleagues  
 
 
 
  Untitled Document
 
Copyrights (c) 2012 Computer Science Journals. All rights reserved.
Best viewed at 1152 x 864 resolution. Microsoft Internet Explorer.
 
  
 
Copyrights & Usage: Articles published by CSC Journals are Open Access. Permission to copy and distribute any other content, images, animation and other parts of this website is prohibited. CSC Journals has the rights to take action against individual/group if they are found victim of copying these parts of the website.