Sketch2Tag: automatic hand-drawn sketch recognition

Authors:
Zhenbang Sun;Changhu Wang;Liqing Zhang;Lei Zhang
Affiliations:
Shanghai Jiao Tong University, Shanghai, China;Microsoft Research Asia, Beijing, China;Shanghai Jiao Tong University, Shanghai, China;Microsoft Research Asia, Beijing, China
Venue:
Proceedings of the 20th ACM international conference on Multimedia
Year:
2012

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Abstract

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.