Title
Dynamic Directional Navigation In Content-Based Image Retrieval
Keywords
Database query processing; Image databases; Information retrieval
Abstract
Nowadays' image retrieval techniques focus on modifying a query contour based on the relative correlations of relevant images. The spatial relationship between the relevant images and all the other images in database (i.e. the directional information) is not explored and utilized well. From the aspect of feature space, when a user selects relevant images, the direction to the potential relevant images is implicitly expressed. In this paper, we propose a Dynamic Directional Navigation (DDN) system to explore the directional information and navigate in the data space to find similar images. Multiple queries will be used when the relevant images point to different directions. The experiment results indicate that our technique can address the semantic gap well in Content-Based Image Retrieval (CBIR) and achieves better precision and recall than the previous techniques. © 2008 IEEE.
Publication Date
10-23-2008
Publication Title
2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings
Number of Pages
1253-1256
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ICME.2008.4607669
Copyright Status
Unknown
Socpus ID
54049140484 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/54049140484
STARS Citation
Yu, Ning; Hua, Kien A.; and Cheng, Hao, "Dynamic Directional Navigation In Content-Based Image Retrieval" (2008). Scopus Export 2000s. 9733.
https://stars.library.ucf.edu/scopus2000/9733