Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
10-2008
Abstract
This paper proposes a novel approach to exploit the ontological relationship of visual words by linguistic reasoning. A visual word ontology is constructed to facilitate the rigorous evaluation of linguistic similarity across visual words. The linguistic similarity measurement enables cross-bin matching of visual words, compromising the effectiveness and speed of conventional keypoint matching and bag-of-word approaches. A constraint EMD is proposed and experimented to efficiently match visual words. Empirical findings indicate that the proposed approach offers satisfactory performance to near-duplicate retrieval, while still enjoying the merit of speed efficiency compared with other techniques.
Discipline
Data Storage Systems | Graphics and Human Computer Interfaces
Research Areas
Intelligent Systems and Optimization
Publication
Proceedings of 2008 IEEE International Conference on Multimedia and Expo, ICME 2008, Hannover, Germany, June 23-26
First Page
125
Last Page
128
ISBN
9781424425716
Identifier
10.1109/ICME.2008.4607387
Publisher
IEEE
City or Country
Hannover, Germany
Citation
1
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.