NONLINEAR REVISION CONTROL SYSTEM AND METHOD FOR IMAGES

• US 20130076773A1
• Filed: 09/22/2011
• Published: 03/28/2013
• Est. Priority Date: 09/22/2011
• Status: Abandoned Application

• Current Assignee: National Tsing Hua University
• Original Assignee: National Tsing Hua University
• Inventors: Wei, Li-Yi, Chang, Chun-Fa, CHEN, Hsiang-Ting
• Application Number:
  US13/241,182
• Publication Number:
  US 20130076773A1
• Time in Patent Office: Days
• US Class Current: 345/589
• CPC Class Codes: G06T 11/206 Drawing of charts or graphs
• CPC Class Codes: G06T 11/60 Editing figures and text; Combining figures or text

Abstract

A nonlinear revision control system for images is designed with the common digital editing and sketching workflows in mind. DAG (directed acyclic graph) is used as the core structure and DAG nodes represent editing operations, and DAG edges indicate the corresponding spatial, temporal and semantic relationships. DAG is visualized in RevG (revision graph), which provides not only a meaningful display of the revision history, but also an intuitive interface for common revision control operations such as review, replay, diff, addition, branching, merging, and conflict resolving. Beyond revision control, the system also facilitates artistic creation processes in common image editing and digital painting workflows. A prototype system has been built upon GIMP, an open source image editor, and demonstrates its effectiveness through a formative user study and comparisons with alternative revision control systems.

Claims

1. A nonlinear revision control system for images, the system comprising:

a frontend used as an external user interface;

a backend coupled to the frontend, wherein the backend further comprises;

a repository for storing recorded logs and revision control information derived from user editing actions;

a first data structure for analyzing and transforming the logs from the repository;

a plurality of filters for simplifying the logs from the first data structure; and

a second data structure for storing the simplified logs from the plurality of filters and being rendered in the frontend; and

an image editor communicated with and applied for the backend.

2. The nonlinear revision control system for images of claim 1, wherein the first data structure is a DAG having nodes and edges, the DAG nodes representing editing operations, and the DAG edges representing corresponding nonlinear spatial, temporal and semantic relationships between recorded image editing operations.

3. The nonlinear revision control system for images of claim 1, wherein the second data structure is a revision graph (RegV) having nodes and edges, which provides not only a meaningful display of a revision history, but also an intuitive interface for common revision control operations such as review, replay, diff, addition, branching, merging, and conflict resolving.

4. The nonlinear revision control system for images of claim 1, wherein the frontend is a renderer selected from the group consisting of:

GTK, Linux, Windows and related Operational system.

5. The nonlinear revision control system for images of claim 1, wherein the plurality of filters comprise:

a visual importance filter coupled to the first data structure, to dynamically simplify the DAG into the RevG for proper display;

a layout filter coupled to the visual importance filter, for determining a position, path, shape and color of the nodes of the RevG via a classical hierarchical layout algorithm; and

a viewport filter coupled to the second data structure, for culling the nodes and edges of the RevG outside a current viewport.

6. The nonlinear revision control system for images of claim 1, wherein the image editor is one selected from the group consisting of:

GIMP (GNU Image Manipulation Program), Photoshop and related image editing program, the image editor further comprising;

a logger for recording the user editing actions; and

a replayer for replaying the user editing actions.

7. A nonlinear revision control method for images, the method comprising the steps of:

(a) recording editing actions by an image editor;

(b) transferring the editing actions as recorded logs from the image editor into a repository;

(c) storing the recorded logs as a text form in the repository;

(d) constructing the text form into a DAG;

(e) creating a RevG from the DAG; and

(f) showing the RevG at a UI frontend.

8. The nonlinear revision control method for images of claim 7, wherein the DAG and the RevG respectively have nodes and edges.

9. The nonlinear revision control method for images of claim 8, wherein the DAG nodes represent editing operations, and the DAG edges represent corresponding nonlinear spatial, temporal and semantic relationships between recorded image editing operations.

10. The nonlinear revision control method for images of claim 7, wherein the nodes and edges of the RegV provide not only a meaningful display of a revision history, but also an intuitive interface for common revision control operations such as review, replay, diff, addition, branching, merging, and conflict resolving.

11. The nonlinear revision control method for images of claim 7, wherein step (e) further comprises the following steps:

(e1) dynamically simplifying the DAG into the RevG for proper display;

(e2) determining a position, path, shape and color of the nodes of the RevG via a classical hierarchical layout algorithm; and

(e3) culling the nodes and edges of the RevG outside a current viewport.

12. The nonlinear revision control method for images of claim 11, wherein step (e1) further comprises the following steps:

(e11) assigning a visual importance value to each node of the DAG; and

(e12) filtering the DAG into the RevG according to a threshold assigned to a current RevG window resolution.