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Web-based Image Retrieval and Classification System using Sketch Query  

이상봉 (연세대학교 컴퓨터과학과)
고병철 (연세대학교 컴퓨터과학과)
변혜란 (연세대학교 컴퓨터학과)
Publication Information
Journal of KIISE:Software and Applications / v.30, no.7_8, 2003 , pp. 703-712 More about this Journal
Abstract
With the explosive growth n the numbers and sizes of imaging technologies, Content-Based Image Retrieval (CBIR) has been attacked the interests of researchers in the fields of digital libraries, image processing, and database systems. In general, in the case of query-by-image, in user has to select an image from database to query, even though it is not his completely desired one. However, since query-by-sketch approach draws a query shape according to the user´s desire it can provide more high-level searching interface to the user compared to the query-b-image. As a result, query-by-sketch has been widely used. In this paper, we propose a Java-based image retrieval system that consists of sketch query and image classification. We use two features such as color histogram and Haar wavelets coefficients to search similar images. Then the Leave-One-Out method is used to classify database images. The categories of classification are photo & painting, city & nature, and sub-classification of nature image. By using the sketch query and image classification, w can offer convenient image retrieval interface to user and we can also reduce the searching time.
Keywords
Content-based Image Retrieval; Query-by-sketch; Image Clsassification;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Venkat N. Gudivada, Vijay V. Raghavan, 'Content Based Image Retrieval Systems,' IEEE Computer, 1995   DOI   ScienceOn
2 James Ze Wang, Gio Wiederhold, Oscar Firschein, Sha Xin Wei, 'Wavelet-based Image indexing techiniques with partial sketch retrieval capability,' Proceedings of the Fourth forum on Research and Technology Advances in Digital Libraries, 1997   DOI
3 J. R. Smith and S. F. Chang, 'VisualSEEK : A Fully Automated Content-Based Image Query System,' ACM Multimedia 1996, Boston MA, Nov, 1996   DOI
4 J. R. Smith, Chung-Sheng Li, 'Decoding image semantics using composite region templates,' IEEE Workshop on Content-based Access of Image and Video Libraries, June, 1998   DOI
5 J. R. Smith. 'Integrated Spatial and Feature Image Systems: Retrieval, Compression and Analysis,' Ph.D. thesis, Graduate School of Arts and Sciences, Columbia University, February, 1997
6 Jing Huang, S Ravi Kumar, Ramin Zabih, 'An Automatic Hierarchical Image Classification scheme,' ACM Multimedia 1998   DOI
7 A. Vailaya, A. K. Jain and H. J. Zhang, 'On Image Classification : City Image vs. Landscapes,' Pattern Recognition, vol.31, no. 12, 1998
8 http://www.cselt.it/mpeg/
9 Charles E. Jacobs, Adam Finkelstein, David Salesin, 'Fast Multiresolution Image Querying,' SIGGRAPH 95, New York, 1995   DOI
10 Eric J. Stollnitz, Tony D. DeRose, David H. Salesin, Wavelets for computer Graphics-Theory and Applications, p.245, Morgan Kaufmann Publishers, Inc. 1996
11 Shi-Kuo Chang, Qing-Yun Shi, Cheng-Wen Yan, 'Iconic Indexing by 2-D Strings,' IEEE Transaction on Patter Analysis and Machine Intelligence, Vol. 9, No. 3, May, 1987
12 Rafael C. Gonzales and Richard E. Woods. Digital Image Processing, p.716, Addison Wesley Publishing Company, Reading, Massachussetts, 1993
13 Ioannis Pitas, Digital image processing algorithms, p.362, Prentice Hall international series in acoustics, speech, and signal processing, 1993
14 Martin Szummer and Rosalind W. Picard, 'Indoor-Outdoor Image Classification,' IEEE International Workshop on Content-based Access of Image and Video Databases, Jan 1998   DOI
15 D. Androutsos, K.N. Plataniotis and A.N. Venetsanopoulos, 'Image region extraction for contentbased image retrieval,' EUSIPCO 1998, Rhodes, Greece, September 7-10, 1998
16 D. Androutsos, K. N. Plataniotis, A. N. Venetsanopoulos, 'Vector Angular Distance Measure for Indexing and Retrieval of Color,' SPIE Electrical Imaging '99, vol. 3656, p.604-613, January 1999
17 Earl Gose, Richard Johnsonbaugh, Steve Jost, Pattern Recognition and Image analysis, p.484, Prentice Hall, 1996