Ontology-based visual word matching for near-duplicate retrieval

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.

• Type: Conference
• Year: 2008
• Where: ICMCS
• Authors: Yu-Gang Jiang, Chong-Wah Ngo
• Keywords: ICMCS 2008, Linguistic Similarity, Multimedia, Visual Word Ontology, Visual Words