Information Retrieval through SVG-based Vector Images Using an Original Method

Vector images are becoming more advanced and diffused on the Internet due to their unique characteristics over traditional raster images. As a W3C standard, SVG is a brand-new vector-based image format built on readable/searchable plain-text source code which inherited from XML technology, thus is suitable for Content-based image retrieval. CBIR is the application of computer vision to the image retrieval problem, which analyzes the actual contents of the images themselves rather than relying on annotations or keywords generated by human labor. Without textual descriptions or label information, successful retrieval of relevant images from large- scale image collections is a very interesting yet challenging task, so in this paper, we propose a prototype system based on SVG technology and emphasize the method of similarity measurement, also covers the implementation of the principles, which provides CBIR services.