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	Two-level description and unbalanced region matching in image retrieval
	Dai Sheng-yang ; Zhang Yu-jin
	2010-05-06 ; 2010-05-06
关键词	Practical Theoretical or Mathematical Experimental/ content-based retrieval feature extraction image matching image retrieval image segmentation/ two-level description TLD unbalanced region matching URM spatial information content-based image retrieval global feature based algorithm image segmentation/ B6135 Optical, image and video signal processing C1250M Image recognition C5260B Computer vision and image processing techniques C7250R Information retrieval techniques
中文摘要	Research on integrating spatial information into content-based image retrieval is aimed at solving the problem caused by global feature based algorithm. Most systems derive the spatial information from image segmentation. However, the description of images based on one-level description (OLD) and the inevitable inaccuracy of segmentation results limit the performance. The proposed two-level description (TLD) describes images by a rough description and a detailed description to avoid improper spatial constrain caused by OLD. Similarity measurement based on unbalanced region matching (URM) is introduced in taking the advantage of TLD to reduce the influence of inaccurate segmentation. The performance of the system is illustrated by experimental results with 700 query images randomly selected from a database of 7000 general-purpose images.
语种	中文 ; 中文
出版者	Chinese Inst. Electron ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/11865]
专题	清华大学
推荐引用方式 GB/T 7714	Dai Sheng-yang,Zhang Yu-jin. Two-level description and unbalanced region matching in image retrieval[J],2010, 2010.
APA	Dai Sheng-yang,&Zhang Yu-jin.(2010).Two-level description and unbalanced region matching in image retrieval..
MLA	Dai Sheng-yang,et al."Two-level description and unbalanced region matching in image retrieval".(2010).

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