SketchMaker: Sketch extraction and reuse for interactive scene sketch composition

Liu, Fang, Deng, Xiaoming, Song, Jiancheng, Lai, Yu-Kun ORCID: https://orcid.org/0000-0002-2094-5680, Liu, Yong-Jin, Wang, Hao, Ma, Cuixia, Qin, Shengfeng and Wang, Hongan 2022. SketchMaker: Sketch extraction and reuse for interactive scene sketch composition. ACM Transactions on Interactive Intelligent Systems 12 (3) , pp. 1-26. 10.1145/3543956

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Abstract

Sketching is an intuitive and simple way to depict sciences with various object form and appearance characteristics. In the past few years, widely available touchscreen devices have increasingly made sketch-based human-AI co-creation applications popular. One key issue of sketch-oriented interaction is to prepare input sketches efficiently by non-professionals because it is usually difficult and time-consuming to draw an ideal sketch with appropriate outlines and rich details, especially for novice users with no sketching skills, thus sketching brings great obstacles for sketch applications in daily life. On the other hand, hand-drawn sketches are scarce and hard to collect. Given the fact that there are several large-scale sketch datasets providing sketch data resources, but they usually have a limited number of objects and categories in sketch, and do not support users to collect new sketch materials according to their personal preferences. In addition, few sketch-related applications support the reuse of existing sketch elements. Thus, knowing how to extract sketches from existing drawings and effectively re-use them in interactive scene sketch composition will provide an elegant way for sketch-based image retrieval (SBIR) applications, which are widely used in various touch screen devices. In this study, we first conduct a study on current SBIR to better understand the main requirements and challenges in sketch-oriented applications. Then we develop the SketchMaker as an interactive sketch extraction and composition system to help users generate scene sketches via reusing object sketches in existing scene sketches with minimal manual intervention. Moreover, we demonstrate how SBIR improves from composited scene sketches to verify the performance of our interactive sketch processing system. We also include a sketch-based video localization task as an alternative application of our sketch composition scheme. Our pilot study shows that our system is effective and efficient, and provides a way to promote practical applications of sketches.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	Association for Computing Machinery (ACM)
ISSN:	2160-6455
Date of First Compliant Deposit:	4 July 2022
Date of Acceptance:	22 May 2022
Last Modified:	05 Dec 2024 07:30
URI:	https://orca.cardiff.ac.uk/id/eprint/151004

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