Sketch-based retrieval of ClipArt drawings

Manuel J. Fonseca, B. Barroso, Pedro Ribeiro, J. Jorge
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引用次数: 12

Abstract

These days there are a lot of vector drawings available for people to integrate into documents. These come in a variety of formats, such as Corel, Postscript, CGM, WMF and recently SVG. Typically, such ClipArt drawings tend to be archieved and accessed by categories (e.g. food, shapes, transportation, etc.). However, to find a drawing among hundreds of thousands is not an easy task. While text-driven attempts at classifying image data have been recently supplemented with query-by-image content, these have been developed for bitmap-type data and cannot handle vectorial information. In this paper we present an approach to allow indexing and retrieving vector drawings by content from large datasets. Our prototype can already handle databases with thousands of drawings using commodity hardware. Furthermore, preliminary usability assessments show promising results and suggest good acceptance of sketching as a query mechanism by users.
基于草图的ClipArt图形检索
现在有很多矢量图可供人们集成到文档中。它们有多种格式,如Corel、Postscript、CGM、WMF和最近的SVG。通常,这样的ClipArt绘图倾向于按类别(例如食物、形状、运输等)进行存档和访问。然而,要在成千上万幅画中找到一幅画并非易事。虽然文本驱动的图像数据分类尝试最近补充了按图像内容查询,但这些都是为位图类型的数据开发的,不能处理矢量信息。在本文中,我们提出了一种方法,允许索引和检索矢量图的内容从大型数据集。我们的原型已经可以使用商用硬件处理带有数千张图纸的数据库。此外,初步的可用性评估显示了有希望的结果,并表明用户很容易接受草图作为一种查询机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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