NDLI: Multi-description of local interest point for partial-duplicate image retrieval

Content Provider	IEEE Xplore Digital Library
Author	Liang Li Shuqiang Jiang Qingming Huang
Copyright Year	2010
Description	Author affiliation: Key Lab of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy of Sciences, Beijing, China (Liang Li; Shuqiang Jiang; Qingming Huang)
Abstract	In partial-duplicate image retrieval, images are commonly represented using Bag-of-visual-Words (BoW) built from image local features, such as SIFT. Therefore, the discriminative power of the local features is closely related with the BoW image representation and its performance in different applications. In this paper, we first propose a rotation-invariant Local Self-Similarity Descriptor (LSSD), which captures the internal geometric layouts in the local textural self-similar regions around interest points. Then we combine LSSD with SIFT to develop a multi-description of images for retrieving partial-duplicate. Finally, we formulate the Semi-Relative Entropy as the distance metric. Retrieval performance of this multi-description evaluated in the Oxford building dataset and an image corpus crawled from Google shows that the average precision achieves 11.1% and 2.8% improvement, respectively, comparing with state-of-the-art bundling feature.
Starting Page	2361
Ending Page	2364
File Size	719837
Page Count	4
File Format	PDF
ISBN	9781424479924
ISSN	15224880
e-ISBN	9781424479948
e-ISBN	9781424479931
DOI	10.1109/ICIP.2010.5652210
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-26
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image retrieval Visualization Entropy Feature extraction Robustness Image color analysis Measurement Semi-Relative Entropy Partial-duplicate LSSD
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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