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ICMCS
2008
IEEE

Ontology-based visual word matching for near-duplicate retrieval

8 years 8 months ago
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.
Yu-Gang Jiang, Chong-Wah Ngo
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICMCS
Authors Yu-Gang Jiang, Chong-Wah Ngo
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