Modeling spatial and semantic cues for large-scale near-duplicated image retrieval

Abstract

Bag-of-visual Words (BoW) image representation has been illustrated as one of the most promising solutions for large-scale near-duplicated image retrieval. However, the traditional visual vocabulary is created in an unsupervised way by clustering a large number of image local features. This is not ideal because it largely ignores the semantic and spatial… (More)
DOI: 10.1016/j.cviu.2010.11.003

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