Sketch2Tag:自动手绘草图识别

Zhenbang Sun, Changhu Wang, Liqing Zhang, Lei Zhang
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引用次数: 7

摘要

在这项工作中,我们介绍了sket2tag系统,用于手绘草图的识别。由于手绘草图中出现了很大的变化,大多数现有的工作都局限于特定的领域或有限的预定义类。与现有作品不同的是,Sketch2Tag是一个通用的素描识别系统,旨在识别儿童能够识别的任何有语义意义的物体。该系统允许用户在查询面板上绘制草图,然后提供实时识别结果。为了提高识别覆盖率,利用网络规模的剪贴画图像集作为识别系统的知识库。更好地理解用户的绘图将对各种应用程序具有重要价值,例如,通过将识别结果结合为文本查询来改进基于草图的图像搜索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sketch2Tag: automatic hand-drawn sketch recognition
In this work, we introduce the Sketch2Tag system for hand-drawn sketch recognition. Due to large variations presented in hand-drawn sketches, most of existing work was limited to a particular domain or limited predefined classes. Different from existing work, Sketch2Tag is a general sketch recognition system, towards recognizing any semantically meaningful object that a child can recognize. This system enables a user to draw a sketch on the query panel, and then provides real-time recognition results. To increase the recognition coverage, a web-scale clipart image collection is leveraged as the knowledge base of the recognition system. Better understanding a user's drawing will be of great value to a variety of applications, such as, improving the sketch-based image search by combining the recognition results as textual queries.
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