Demo Data from EDBT 2026 / reviewers in the wild / expert
Hsing-Ying Zhong
dblp:42/6128
· DBLP profile ↗
5ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 5Artificial intelligence and machine learning · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
4 papers |
Visual content generation and editing · 57% Image and video processing · 43% | |
| Artificial intelligence
1 paper |
Video understanding and tracking · 100% |
Topics — the 6 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visual content generation and editing
video editing |
0.2 | 2 | 2009 | Motion inpainting and extrapolation for special effect production · ACM Multimedia 2009 Video falsifying by motion interpolation and inpainting · CVPR 2008 |
Image and video processing › video restoration
video inpainting |
0.2 | 2 | 2008 | Motion extrapolation for video story planning · ACM Multimedia 2008 Video falsifying by motion interpolation and inpainting · CVPR 2008 |
Image and video processing › video restoration
motion inpainting |
0.1 | 1 | 2009 | Motion inpainting and extrapolation for special effect production · ACM Multimedia 2009 |
Visual content generation and editing
video generation |
0.1 | 1 | 2008 | Motion extrapolation for video story planning · ACM Multimedia 2008 |
Visual content generation and editing › texture synthesis
dynamic texture synthesis |
0.0 | 1 | 2009 | Motion inpainting and extrapolation for special effect production · ACM Multimedia 2009 |
Image and video processing
motion analysis |
0.0 | 1 | 2008 | Motion extrapolation for video story planning · ACM Multimedia 2008 |
Methods — techniques the papers use, named apart from their topics
motion interpolation · 0.2graph cuts · 0.2motion inpainting · 0.1frame interpolation · 0.1video inpainting · 0.1video combination · 0.1video alteration · 0.1motion tracking · 0.1motion extrapolation · 0.1mean-shift tracking · 0.1mean shift tracking · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Motion inpainting and extrapolation for special effect productionabstractSpecial effect production is an important technology for movie industry. Although sophisticated equipments can be used to produce scenery such as fire and smoke, usually, the approach is expensive and perhaps dangerous. Can sceneries be re-produced based on existing videos using digital technology? The answer is yes but it is difficult. In this video demonstration, we propose new mechanisms using motion inpainting technologies. Dynamic texture can be altered and reused under control. In addition, actors with repeated motion can be interpolated or extrapolated and incorporated into the falsified scenery. We demonstrate using our tool to produce realistic video narratives based on existing videos. Five sets of results as well as the source videos used are available at http://member.mine.tku.edu.tw/www/ACMMM09VideoDemo. Nick C. Tang, Hsing-Ying Zhong, Joseph C. Tsai, Timothy K. Shih, Hong-Yuan Mark Liao |
ACM Multimedia | 2 |
| 2008 | Video falsifying by motion interpolation and inpaintingabstractWe change the behavior of actors in a video. For instance, the outcome of a 100-meter race in the Olympic game can be falsified. We track objects and segment motions using a modified mean shift mechanism. The resulting video layers can be played in different speeds and at different reference points with respect to the original video. In order to obtain a smooth movement of target objects, a motion interpolation mechanism is proposed based on continuous stick figures (i.e., a video of human skeleton) and video inpainting. The video inpainting mechanism is performed in a quasi-3D space via guided 3D patch matching for filling. Interpolated target objects and background layers are fused by using graph cut. It is hard to tell whether a falsified video is the original. We demonstrate the original and the falsified videos in our website at http://www.mine.tku.edu.tw/video_demo/). The proposed technique can be used to create special effects in movie industry. Timothy K. Shih, Nick C. Tang, Joseph C. Tsai, Hsing-Ying Zhong |
CVPR | 4 |
| 2008 | Motion extrapolation for video story planningabstractWe create video scenes using existing videos. A panorama is generated from background video, with foreground objects removed by video inpainting technique. A video planning script is provided by the user on the panorama with accurate timing of actors. Actions of these actors are extensions of existing cyclic motions, such as walking, tracked and extrapolated using our motion analysis techniques. Although the types of video story generated are limited, however, it is possible to use the mechanism proposed to generate forgery videos. Interested readers should visit our tool demonstration and forgery videos at http://member.mine.tku.edu.tw/www/ACMMM08-VideoPlanning. Nick C. Tang, Timothy K. Shih, Hong-Yuan Mark Liao, Joseph C. Tsai, Hsing-Ying Zhong |
ACM Multimedia | 5 |
| 2008 | Video falsifying for special effect productionabstractVideo Falsifying is a technique for generating fake video by altering, combining, or creating new video contents. For instance, the outcome of a 100-meter race can be changed. Alternatively, the winner of a horse race can be created from combined videos. The technique is for special effect production in movie industry. We demonstrate how to use our video falsifying techniques in special effects production. Interested readers should look at our demonstration website at http://member.mine.tku.edu.tw/www/ACMMM08VideoDemo. Nick C. Tang, Timothy K. Shih, Hsing-Ying Zhong, Joseph C. Tsai, Chin-Yao Tang |
ACM Multimedia | 3 |
| 2007 | Scratch Line Removal on Aged FilmsabstractAged motion pictures may contain different types of defects, such as spikes and scratch lines. Several detection mechanisms were proposed to find scratches. However, it is relatively hard to precisely restore aged films if the continuation of image property is not considered in the temporal domain. This paper proposes a technique on restoring aged films based on simultaneously considering the outmost patches/pixels which are going to be inpainted. The inpainting order plays an important factor for human visualization. By eliminating the inpainting order problem, the results of restored films have good quality as compared to earlier approach. Application of our technique can be used in the restoration of aged films. Yang-Ta Kao, Timothy K. Shih, Hsing-Ying Zhong, Liang-Kuang Dai |
ISM | 3 |