[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.4218/etrij.11.1510.0023

Image Description and Matching Scheme Using Synthetic Features for Recommendation Service

Yang, Won-Keun (School of Electronic Engineering, Inha University)
Cho, A-Young (Mechatronics & Storage R&D Lab., LG Electronics Inc.)
Oh, Weon-Geun (Contents Research Laboratory, ETRI)
Jeong, Dong-Seok (School of Electronic Engineering, Inha University)

Publication Information

ETRI Journal / v.33, no.4, 2011 , pp. 589-599 More about this Journal

Abstract

This paper presents an image description and matching scheme using synthetic features for a recommendation service. The recommendation service is an example of smart search because it offers something before a user's request. In the proposed extraction scheme, an image is described by synthesized spatial and statistical features. The spatial feature is designed to increase the discriminability by reflecting delicate variations. The statistical feature is designed to increase the robustness by absorbing small variations. For extracting spatial features, we partition the image into concentric circles and extract four characteristics using a spatial relation. To extract statistical features, we adapt three transforms into the image and compose a 3D histogram as the final statistical feature. The matching schemes are designed hierarchically using the proposed spatial and statistical features. The result shows that each feature is better than the compared algorithms that use spatial or statistical features. Additionally, if we adapt the proposed whole extraction and matching scheme, the overall performance will become 98.44% in terms of the correct search ratio.

Keywords

Image description; image matching; recommendation service; spatial feature; statistical feature;

Citations & Related Records

Times Cited By KSCI : 1 (Citation Analysis)
Times Cited By Web Of Science : 1 (Related Records In Web of Science)
Times Cited By SCOPUS : 2

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