NDLI: Intra-class key feature weighting method for vocabulary tree based image retrieval

Content Provider	IEEE Xplore Digital Library
Author	Donggeun Yoo Chaehoon Park Yukyung Choi In So Kweon
Copyright Year	2012
Description	Author affiliation: Department of Electrical Engineering, KAIST, Daejeon 373-1, Korea (Donggeun Yoo; Chaehoon Park; Yukyung Choi; In So Kweon)
Abstract	With the existing feature weighting methods of image retrieval field, it was impossible to use the fact that images have different key features depending on their classes because the same weight is applied to every image class. We propose a method of indexing features of each class in order of importance and giving them relevant weights, which can be applied to image retrieval. We designed a simple weight mapping function in order to enhance the distinctiveness between the image classes and also proposed a method to re-rank sub-class image set to apply different weight vectors to image retrieval framework. Wedemonstrated the proposed method on the existing image retrieval framework to compare and verify the performance. Proposed method was evaluated with UKBench Dataset and the result showed a noticeable improvement.
Starting Page	517
Ending Page	520
File Size	552701
Page Count	4
File Format	PDF
ISBN	9781467331111
e-ISBN	9781467331128
e-ISBN	9781467331104
DOI	10.1109/URAI.2012.6463058
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-26
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Histograms Feature Weighting Image color analysis Image Retrieval Object Retrieval Image retrieval Vectors Vocabulary Tree Standards
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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