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Title: Semantic image retrieval system based on object relationships
Authors: Shivakumar, S.
Goel, N.
Ananthanarayana, V.S.
Cyriac, C.
Rajaram, P.
Issue Date: 2013
Citation: 2013 IEEE 2nd International Conference on Image Information Processing, IEEE ICIIP 2013, 2013, Vol., , pp.276-281
Abstract: Semantic-based image retrieval has recently become popular as an avenue to improve retrieval accuracy. The 'semantic gap' between the visual features and the high-level semantic features could be narrowed down by utilizing this kind of retrieval method. However, most of the current methods of semantic-based image retrieval utilize visual semantic features and do not consider spatial relationships. We build a system for content-based image retrieval from image collections on the web and tackle the challenges of distinguishing between images that contain similar objects, in order to capture the semantic meaning of a search query. In order to do so, we utilize a combination of segmentation into objects as well as the relationships of these objects with each other. � 2013 IEEE.
Appears in Collections:2. Conference Papers

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