Abstract
We present en experimental evaluation of VISTO (Vector Image Search TOol), a new content-based image retrieval (CBIR) system that deals with vector images in SVG (Scalable Vector Graphics) format, differently to most of the CBIR tools available in the literature that deal with raster images. The experimental evaluation of retrieval systems is a critical part in the process of continuously improving the existing retrieval metrics. While researchers in text image retrieval have long been using a sophisticated set of tools for userbased evaluation, this does not yet apply to image retrieval. In this paper, we make a step forward toward this direction and present an experimental evaluation of VISTO in a framework for the production of 2D animation. © Springer-Verlag Berlin Heidelberg 2007.
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Di Mascio, T., Frigioni, D., & Tarantino, L. (2007). Evaluation of VISTO: A new vector image search TOol. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4552 LNCS, pp. 836–845). Springer Verlag. https://doi.org/10.1007/978-3-540-73110-8_92
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