2012 19th IEEE International Conference on Image Processing 2012
DOI: 10.1109/icip.2012.6467388
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Semantic-visual concept relatedness and co-occurrences for image retrieval

Abstract: This paper introduces a novel approach that allows the retrieval of complex images by integrating visual and semantic concepts. The basic idea consists of three aspects. First, we measure the relatedness of semantic and visual concepts and select the visually separable semantic concepts as elements in the proposed image signature representation. Second, we demonstrate the existence of concept co-occurrence patterns. We propose to uncover those underlying patterns by detecting the communities in a network struc… Show more

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Cited by 3 publications
(1 citation statement)
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“…One of the vital attribute which must be considered in the retrieval tasks associated with natural scene database is the co-occurrence information of concepts. Linan and Bhanu (2012; utilized the cooccurrence information of concepts along with semantic visual concept relatedness to perform image annotation and retrieval tasks. The application of cooccurrence information is limited to pairs of concepts and did not extend to higher levels.…”
Section: Literature Reviewmentioning
confidence: 99%
“…One of the vital attribute which must be considered in the retrieval tasks associated with natural scene database is the co-occurrence information of concepts. Linan and Bhanu (2012; utilized the cooccurrence information of concepts along with semantic visual concept relatedness to perform image annotation and retrieval tasks. The application of cooccurrence information is limited to pairs of concepts and did not extend to higher levels.…”
Section: Literature Reviewmentioning
confidence: 99%