SketchMaker: Sketch Extraction and Reuse for Interactive Scene Sketch Composition

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.

Investigating effects of future path visualisation on path choices during collision encounters

“…Al Kabary and Schuldt (2013), proposed SportsSense, where hand drawn sketches have been used to query and retrieve motion data. In most of the similar works that followed, sketches of users were transformed to motion query to retrieve real movement sequences (Wang et al, 2019, Liu et al, 2022Probst et al, 2018. While less works have applied sketches to AR studies, most works predominately use sketches to create 3D objects (Olsen et al, 2009) and then apply animations like moving objects along user-defined motion paths as in (Thorne et al, 2004).…”

Research on hand sketch recognition method based on Sketch-AlexNet

“…Recognition and processing of hand-drawn sketches have become an active area of research in the fields of computer vision and human-computer interaction due to their potential to provide richer and more intuitive input methods for tasks such as intelligent assisted design [2][3] , virtual reality [4] [5] , natural language processing [6] , and more.…”