Affiliation:
1. Shandong Institute of Business and Technology
2. Shandong Normal University
Abstract
Image retrieval is generally divided into two categories: one is text-based Image Retrieval; another is content-based Image Retrieval. Early image retrieval technology is mainly based on the text, after 90 years, the content-based image retrieval emerged. So far, we mainly use image retrieval technology that based on color, texture, layout analysis and retrieval. That is: content-based Image Retrieval (CBIR). This paper review the two kinds of image retrieval methods, and introduces a variety of techniques in content-based image retrieval, we also prospect of fusion research of text and content.
Publisher
Trans Tech Publications, Ltd.
Reference10 articles.
1. Ahmad IS. Text-based Image Indexing and Retrieval Using Formal Concept Analysis. Ksii Transactions on Internet and Information Systems. 2008, 2(3): 150-170.
2. Wang Bin. An Invariant Region-Shape Descriptor Based on Fourier Transform. Acta electronica Sinica, 2012, 40(1): 84-88.
3. Luo Ronghua, Min Huaqing, Chen Peng. Affine Invariant Feature of Mult-i Scale Maximally Stable Extremal Region. Journal of Computer Research and Development, 2011, 48(3): 508-515.
4. Yuan Jie, Wei Baogang, Wang Lidong. An Image Retrieval Method Synthesizing PHOG Shape Description and Wavelet Pyramid Energy Distribution. Acta Electronica Sinica, 2011, 39(9): 2114-2119.
5. Khalid S. Incremental indexing and retrieval mechanism for scalable and robust shape matching. Multimedia Systems. 2012, 18(4): 319-336.