Evaluation of VISTO: a new vector image search tool

Authors:
Tania Di Mascio;Daniele Frigioni;Laura Tarantino
Affiliations:
Dipartimento di Ingegneria Elettrica e dell'Informazione, Università dell'Aquila, L'Aquila, Italy;Dipartimento di Ingegneria Elettrica e dell'Informazione, Università dell'Aquila, L'Aquila, Italy;Dipartimento di Ingegneria Elettrica e dell'Informazione, Università dell'Aquila, L'Aquila, Italy
Venue:
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
Year:
2007

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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 user-based 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.