Research and Design for Image Search Engine

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.

• Periodical: Advanced Materials Research (Volume 651)
• Pages: 906-909
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.651.906
• Online since: January 2013
• Authors: Ling Qiu, Zheng Xi Wei
• Keywords: Image Recognition, Image Search Engine, Multi-Thread, Web Crawler

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