New Research Progress in Image Retrieval

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.

• Periodical: Applied Mechanics and Materials (Volumes 333-335)
• Pages: 1076-1079
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.333-335.1076
• Online since: July 2013
• Authors: Fan Hui, Guo Jie, Jin Jiang Li
• Keywords: Content-Based Image Retrieval, Mage Retrieval, Text-Based Image Retrieval

References

[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.

DOI: 10.3837/tiis.2008.03.002

[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.

DOI: 10.1007/s00530-011-0252-y

[6] Shao Zhenfeng, Li Deren, Zhu Xianqiang. A Multi-scale and Multi-orientation Image Retrieval Method Based on Rotation-invariant Texture Features . Science China, 2011, 41(3): 283-296.

DOI: 10.1007/s11432-011-4207-x

[7] Gonde AB, Maheshwari RP, Balasubramanian R. Modified curvelet transform with vocabulary tree for content based image retrieval. Digital Signal Processing, 2013, 23(1): 142-150.

DOI: 10.1016/j.dsp.2012.04.019

[8] Wang Xiangyang, Yang Hongying, Zheng Hongliang, Wu Junfeng. A Color Block-histogram Image Retrieval Based on Visual Weight. Acta Automatica Sinica, 2010, 36(10): 1489-1492.

DOI: 10.3724/sp.j.1004.2010.01489

[9] She Qiao Qiao, Yu Yang, Jiang, Zhou Zhihua. Large-ScaleImage Annotation via Random Forest Based Label Propagation . Journal of Computer Research and Development, 2012, 49(11): 2289-2295.

[10] Schroth G, Hilsenbeck S, Huitl R, Schweiger F, Steinbach E. Exploiting Text-Related Features for Content-based Image Retrieval, IEEE International Symposium on Multimedia, 2011, 77-84.

DOI: 10.1109/ism.2011.21