SketchMaker: Sketch Extraction and Reuse for Interactive Scene Sketch Composition

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2022-07-26 DOI:https://dl.acm.org/doi/10.1145/3543956
Fang Liu, Xiaoming Deng, Jiancheng Song, Yu-Kun Lai, Yong-Jin Liu, Hao Wang, Cuixia Ma, Shengfeng Qin, Hongan Wang
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引用次数: 0

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.

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SketchMaker:素描提取和重用交互式场景素描组成
速写是一种直观、简单的方式来描绘具有各种物体形式和外观特征的科学。在过去的几年里,广泛使用的触摸屏设备越来越多地使基于草图的人类-人工智能共同创造应用程序流行起来。面向草图的交互的一个关键问题是非专业人员有效地准备输入草图,因为绘制具有适当轮廓和丰富细节的理想草图通常是困难和耗时的,特别是对于没有草图技能的新手用户。因此,素描给素描在日常生活中的应用带来了很大的障碍。另一方面,手绘草图是稀缺的,很难收集。鉴于目前有几个大规模的草图数据集提供草图数据资源,但它们通常在草图中的对象和类别数量有限,并且不支持用户根据个人喜好收集新的草图资料。此外,很少有草图相关的应用程序支持现有草图元素的重用。因此,了解如何从现有图纸中提取草图并有效地在交互式场景草图构图中重用它们,将为基于草图的图像检索(SBIR)应用提供一种优雅的方式,这些应用广泛应用于各种触摸屏设备。在本研究中,我们首先对当前的SBIR进行了研究,以更好地了解面向草图的应用中的主要需求和挑战。然后我们开发了SketchMaker作为一个交互式草图提取和构图系统,以帮助用户通过重用现有场景草图中的对象草图来生成场景草图,并减少人工干预。此外,我们演示了如何从合成场景草图改进SBIR,以验证我们的交互式草图处理系统的性能。我们还包括一个基于草图的视频定位任务,作为我们的草图组合方案的另一个应用。初步研究表明,该系统是有效的、高效的,为促进草图的实际应用提供了一条途径。
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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CiteScore
7.20
自引率
4.30%
发文量
567
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