NDLI: Bag-of-features signature using invariant region descriptor for object retrieval

Content Provider	IEEE Xplore Digital Library
Author	Ayoung Cho Won-Keun Yang Dong-Seok Jeong Weon-Geun Oh
Copyright Year	2011
Description	Author affiliation: Dept. of Content Research Laboratory, Electronics and Telecommunication Research Institute, Deajeon, Korea (Weon-Geun Oh) \|\| Sch. of Electronic Engineering, Inha University, Incheon, Korea (Ayoung Cho; Won-Keun Yang; Dong-Seok Jeong)
Abstract	In recent years, a content-based method such as ‘bag-of-features’ (BoF) is coming to the fore as an object recognition and classification technique. This paper proposes a BoF signature using invariant region descriptor for object retrieval. The region descriptors are extracted from dense sampled regions in the training images. These descriptors are quantized by hierarchical k-means clustering in a vocabulary tree of visual words. Each image is represented by occurrence of visual words, and then we use linear combination distance measure in the matching. In the experiments, we use object images that are taken in different condition to evaluate the retrieval performance. The test results show that the proposed method outperforms the BoF method using SURF descriptor. The proposed method searches 2.9 correct images among 3 on average up to the top 3% rank in database. Therefore, the proposed method is considered as an effective technique in terms of retrieval accuracy.
Starting Page	1
Ending Page	4
File Size	690330
Page Count	4
File Format	PDF
ISBN	9781612846774
e-ISBN	9781612846781
e-ISBN	9781612846767
DOI	10.1109/FCV.2011.5739754
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-02-09
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Vocabulary Histograms Computer vision Bag-of-features Clustering algorithms Feature extraction Content-based retrieval Indexes Object recognition Region descriptor
Content Type	Text
Resource Type	Article

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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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