Using color chains similarities for MLB sports image retrieval

Authors:
Chiunhsiun Lin;Ching-Hung Su;Hsuan Shu Huang;Kuo-Chin Fan
Affiliations:
National Taipei University, Taipei, Taiwan, Taiwan;The Department of Electronic Engineering, Lunghwa University of Science and Technology, Taoyuan County, Taiwan, Taiwan;Institute of Computer Science and Information Engineering, National Central University, Jhongli City, Taoyuan County, Taiwan, Taiwan;Institute of Computer Science and Information Engineering, National Central University, Jhongli City, Taoyuan County, Taiwan, Taiwan
Venue:
CSECS '10 Proceedings of the 9th WSEAS international conference on Circuits, systems, electronics, control & signal processing
Year:
2010

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Abstract

In this paper, we propose a practical image retrieval scheme is developed to retrieve images efficiently. The proposed scheme transfers each MLB sports image to a color chain using straightforward 8 rules. Subsequently, using the color chains to compare the images, namely color chains comparison. We succeed in transferring the image retrieval problem to chains comparison. Thus the computational complexity is decreased obviously. Our system keeps both advantages of the content based image retrieval system (similarity-based retrieval) and a text based image retrieval system (very rapid and mature).