NDLI: Region correspondence for image retrieval using graph-theoretic approach and maximum likelihood estimation

Content Provider	IEEE Xplore Digital Library
Author	Chuech-Yu Li Chiou-Ting Hsu
Copyright Year	2004
Description	Author affiliation: Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan (Chuech-Yu Li; Chiou-Ting Hsu)
Abstract	This paper proposes employing an efficient graph-theoretic approach to estimate the region correspondence between two images. We represent each image as an attributed graph and transform the image matching problem into a graph matching problem. During the image retrieval process, we formulate the matching problem as a maximum likelihood estimation and propose an optimization technique to derive its closed-form solution. Hence, we are capable of measuring the image distance in terms of both the estimated region correspondence and the low-level features. This paper has two main contributions. First, our proposed matching technique is efficient and applicable to the interactive process of image retrieval. Second, with the estimated region correspondence, the proposed matching criterion, which is defined in terms of matched regions and penalized with unmatched regions, achieves satisfactory performance for retrieval applications.
Starting Page	421
Ending Page	424
File Size	279908
Page Count	4
File Format	PDF
ISBN	0780385543
ISSN	15224880
DOI	10.1109/ICIP.2004.1418780
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-24
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image retrieval Maximum likelihood estimation Image matching Image databases Feedback Iterative algorithms Computer science Estimation theory Content based retrieval Human factors
Content Type	Text
Resource Type	Article

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