Affiliation:
1. Sichuan University of Science and Engineering
Abstract
Content-based image search is an urgent problem as the next generation of search engines. This paper firstly analyzes and discusses its main features and key techniques, and then presents a designs method of image search engine based on image content. Next, we give a detailed elaboration about the main function modules and introduce the testing process. By using data filtering technology and ELFHash algorithms, the search time-consume is less than 1 second. The testing results finally prove the overall performance of our image search engine is excellent and achieves the desired design requirements.
Publisher
Trans Tech Publications, Ltd.
Reference6 articles.
1. Zhu X J, Goldberg A B, Eldawy M, et al. Proceedings of the 22nd AAAI Conference on Artificial Intelligence, Vancouver (2007), p.681.
2. Wang J Z, Geman D, Luo J B, et al. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 30(2008), p.1873.
3. J.R. Smith S.F. Chang. Proceedings of the fourth ACM international conference on Multimedia, New York (1996), p.87.
4. Ma Q, Nadamoto A, Tanaka K. Proceedings of the 2nd ACM International Workshop on Multimedia Databases, Washington D C (2004), p.45.
5. Xu Fenggang, et al. Computer Engineering and Applications, Vol. 4 (2006), p.95.