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Spatial layout representation for query-by-sketch content-based image retrieval

delete2002-11-01
delete6
PRE
AI
E
Eugenio Di Sciascio
F
Francesco M. Donini
M
Marina Mongiello
DOI：10.1016/S0167-8655(02)00124-1delete
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Abstract

Abstract

En 中文
Most content-based image retrieval techniques and systems rely on global features, ignoring the spatial relationships in the image. Other approaches take into account spatial composition but usually focus on iconic or symbolic images. Nevertheless a large class of users' queries request images having regions, or objects, in well-determined spatial arrangements. Within the framework of query-by-sketch image retrieval, we propose a structured spatial layout representation. The approach provides a way to extract the image content starting from basic features and combining them in a higher-level description of spatial layout of components, characterizing the semantics of the scene. We also propose an algorithm that measures a weighted global similarity between a sketched query and a database image. (C) 2002 Elsevier Science B.V. All rights reserved.
Keywords:
image retrieval
similarity retrieval
query by sketch
spatial relationships
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Journal

Pattern Recognition Letters cover
Pattern Recognition Letters
IF:
3.3
Papers:
7.8K
Citations:
1.6W

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