Query by concept - an image retrieval method for landscape images
Query by concept - an image retrieval method for landscape images
- Author(s): Yaowei Wang ; Limin Su ; Senlin Luo
- DOI: 10.1049/cp:20080362
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- Author(s): Yaowei Wang ; Limin Su ; Senlin Luo Source: 5th International Conference on Visual Information Engineering (VIE 2008), 2008 p. 484 – 487
- Conference: 5th International Conference on Visual Information Engineering (VIE 2008)
- DOI: 10.1049/cp:20080362
- ISBN: 978 0 86341 914 0
- Location: Xi'an, China
- Conference date: 29 July-1 Aug. 2008
- Format: PDF
QBE was the most popular manner of CBIR systems. But, "Semantic Gap" is an obstacle to make QBE more efficient. The contribution of this paper was that a framework of QBC (query by concept) was proposed to minimize the effect of "semantic gap". Also, a method was proposed to obtain concepts. An attempt was made with landscape images with "blue sky" and "green grass". Experiment data were about 7000 images collected from Corel database and Internet. The experimental results demonstrated the method was feasible, effective and robust.
Inspec keywords: image retrieval; geography; geophysics computing
Subjects: Geography and cartography computing; Computer vision and image processing techniques; Information retrieval techniques
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