SketchMaker: Sketch Extraction and Reuse for Interactive Scene Sketch Composition

Author:

Liu Fang1ORCID,Deng Xiaoming2ORCID,Song Jiancheng3ORCID,Lai Yu-Kun4ORCID,Liu Yong-Jin1ORCID,Wang Hao5ORCID,Ma Cuixia6ORCID,Qin Shengfeng7ORCID,Wang Hongan8ORCID

Affiliation:

1. BNRist, MOE-Key Laboratory of Pervasive Computing, Department of Computer Science and Technology, Tsinghua University, Beijing, China

2. State Key Laboratory of Computer Science and Beijing Key Lab of Human-Computer Interaction, Institute of Software, Chinese Academy of Sciences, Beijing, China

3. State Key Laboratory of Computer Science and Beijing Key Lab of Human-Computer Interaction, Institute of Software, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Beijing, China

4. School of Computer Science and Informatics, Cardiff University, Cardiff, UK

5. Alibaba Group, Beijing, China

6. State Key Laboratory of Computer Science and Beijing Key Lab of Human-ComputerInteraction, Institute of Software, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China

7. School of Design, Northumbria University, Newcastle upon Tyne, UK

8. State Key Laboratory of Computer Science and Beijing Key Lab of Human-Computer Interaction, Institute of Software, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China

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.

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Human-Computer Interaction

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Highly adaptive multi-modal image matching based on tuning-free filtering and enhanced sketch features;Information Fusion;2024-12

2. Human-Robot Interactive Creation of Artistic Portrait Drawings;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Research on hand sketch recognition method based on Sketch-AlexNet;Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023);2023-08-01

4. A State-of-Art Review on Intelligent Systems for Drawing Assisting;Lecture Notes in Computer Science;2023

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