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SAMI 2011 • 9th IEEE International Symposium on Applied Machine Intelligence and Informatics • January 27-29, 2011 • Smolenice, Slovakia

Sketch4Match – Content-based Image Retrieval System Using Sketches B. Sz´ nt´ , P. Pozsegovics, Z. V´ mossy, Sz. Sergy´ n a o a a ´ Obuda University/Institute of Software Technology, Budapest, Hungary {szanto90balazs, pozsee1st}@gmail.com, {vamossy.zoltan, sergyan.szabolcs}@nik.uni-obuda.hu is visual type, we look for images using other images, and follow this approach also at the categorizing. In this case we search using some features of images, and these features are the keywords. At this moment unfortunately there are not frequently used retrieval systems, which retrieve images using the non-textual information of a sample image. What can be the reason? One reason may be that the text is a human abstraction of the image. To give some unique and identi able information to a text is not too dif cult. At the images the huge number of data and the management of those cause the problem. The processing space is enormous. Our purpose is to develop a content based image retrieval system, which can retrieve using sketches in frequently used databases. The user has a drawing area where he can draw those sketches, which are the base of the retrieval method. Using a sketch based system can be very important and ef cient in many areas of the life. In some cases we can recall our minds with the help of gures or drawing. In the following paragraph some application possibilities are analyzed. The CBIR systems have a big signi cance in the criminal investigation. The identi caton of unsubstantial images, tattoos and graf ties can be supported by these systems. Similar applications are implemented in [9], [10], [11]. Another possible application area of sketch based information retrieval is the searching of analog circuit graphs from a big database [7]. The user has to make a sketch of the analog circuit, and the system can provide many...
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