More about HKUST
Interaction Techniques for Layout Editing of Graphic Elements
PhD Thesis Proposal Defence Title: "Interaction Techniques for Layout Editing of Graphic Elements" by Mr. Pengfei XU Abstract: Creating or editing a layout of graphic elements is a common task in many scenarios, for example, the creation of diagram or photo collage. To obtain a target layout, typically the user needs to perform a series of manual operations, such as selecting, resizing and positioning. This process gives the user full control of the final layout, while it is tedious and error-prone, especially when the target layout is complex. This thesis focuses on developing interactive techniques to facilitate the process of creating or editing the layout of graphic elements. We introduce three interactive techniques to improve the user's performance. With these techniques, the user may perform the selection and manipulation operations easier and more efficiently. First, we introduce a new selection tool called Lazy Selection. It is a scribble-based tool for quick selection of one or more desired shape elements by roughly stroking through the elements. Our algorithm automatically refines the selection and reveals the user's intention. It first extracts selection candidates from the scribble-covered elements by examining the underlying patterns and then ranks them based on their location and shape with respect to the user-sketched scribble. Such a design makes this tool tolerant to imprecise input systems and applicable to touch systems without suffering from the fat finger problem. Second, we present GACA, a group-aware command-based arrangement tool. Compared with the traditional command-based arrangement tools, it reduces the numbers of selection operation and command invocation. The key idea is that an issued arrangement command is in fact very informative, instructing how to automatically decompose a 2D layout into multiple 1D groups. each of which is compatible with the command. We present a parameter-free, command-driven grouping approach so that users can easily predict our grouping results. We also design a simple user interface to enable explicit control of grouping and arrangement. Third, we present a framework for automatic global beautification of layouts. To facilitate ambiguity resolution in layout beautification, we present a novel user interface for visualizing and editing inferred relationships. First, our interface provides a preview of the beautified layout with inferred constraints, without directly modifying the input layout. In this way, the user can easily keep refining beautification results by interactively repositioning and/or resizing elements in the input layout. Second, we present a gestural interface for editing automatically inferred constraints by directly interacting with the visualized constraints via simple gestures. Date: Friday, 19 September 2014 Time: 2:00pm - 4:00pm Venue: Room 3501 lifts 25/26 Committee Members: Prof. Chiew-Lan Tai (Supervisor) Dr. Huamin Qu (Chairperson) Prof. Chi-Shing Chung Prof. Long Quan **** ALL are Welcome ****