Content-based Image Retrieval using Spatial-color and Gabor Texture on a Mobile Device
- Department of Applied Computer Engineering, Dankook University
152, Jukjeon-ro, Suji-gu, Yongin-si, Gyeonggi-do, 448-701, Korea
hwany1458@empas.com - Division of Electrical and Computer Engineering, Chungnam National University
99, Daehak-ro, Yuseong-gu, Daejon, 305-764, Korea
kimbona@cnu.ac.kr - Department of Applied Computer Engineering, Dankook University
152, Jukjeon-ro, Suji-gu, Yongin-si, Gyeonggi-do, 448-701, Korea
sbrhee@dankook.ac.kr
Abstract
Mobile image retrieval is one of the most exciting and fastest growing research fields in the area of multimedia technology. As the amount of digital contents continues to grow users are experiencing increasing difficulty in finding specific images in their image libraries. This paper proposes a new efficient and effective mobile image retrieval method that applies a weighted combination of color and texture utilizing spatial-color and second order statistics. The system for mobile image searches runs in real-time on an iPhone and can easily be used to find a specific image. To evaluate the performance of the new method, we assessed the Xcode simulations performance in terms of average precision and F-score using several image databases and compare the results with those obtained using existing methods such as MPEG-7. Experimental trials revealed that the proposed descriptor exhibited a significant improvement of over 13% in retrieval effectiveness, compared to the best of the other descriptors.
Key words
Mobile Content-Based Image Retrieval, Image Representation and Recognition, Image Descriptor, Spatial-Color, Gabor Texture
Digital Object Identifier (DOI)
https://doi.org/10.2298/CSIS120716035L
Publication information
Volume 10, Issue 2 (April 2013)
Special Issue on Advances on Mobile Collaborative Systems
Year of Publication: 2013
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium
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How to cite
Lee, Y., Kim, B., Rhee, S.: Content-based Image Retrieval using Spatial-color and Gabor Texture on a Mobile Device. Computer Science and Information Systems, Vol. 10, No. 2, 807-823. (2013), https://doi.org/10.2298/CSIS120716035L