Title
A Linear System Of Equations With Constraints For Multipoint Queries In Image Retrieval
Abstract
In this paper, we argue that two inferences can be made from the results of recent studies: the continuity of image representation and the non-homogeneity of feature space. These characteristics enable the identification of points that satisfy the constraints established in multipoint queries in any orthogonal feature representations. The set can be described by a linear system of equations with constraints. We look at several existing techniques and propose one that can retrieve the set efficiently. We evaluated the performance of our present technique on large sets of images. The results, indicate that the new representation matches semantic classes of images very well. The superiority of our approach is evident in the experimental results and in actual implementation. ©2006 IEEE.
Publication Date
12-1-2006
Publication Title
MMM2006: 12th International Multi-Media Modelling Conference - Proceedings
Volume
2006
Number of Pages
256-263
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
34047253570 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/34047253570
STARS Citation
Vu, Khanh; Hua, Kien A.; and Yu, Ning, "A Linear System Of Equations With Constraints For Multipoint Queries In Image Retrieval" (2006). Scopus Export 2000s. 7753.
https://stars.library.ucf.edu/scopus2000/7753