Demo Data from EDBT 2026 / reviewers in the wild / expert
Wenchong Lin
dblp:204/9711
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 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
1 paper |
Visual content generation and editing · 61% Image and video coding · 30% Virtual and augmented reality · 9% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visual content generation and editing
image retargeting |
0.3 | 1 | 2017 | QoE-Guided Warping for Stereoscopic Image Retargeting · IEEE Trans. Image Process. 2017 |
Image and video coding
quality assessment |
0.3 | 1 | 2017 | QoE-Guided Warping for Stereoscopic Image Retargeting · IEEE Trans. Image Process. 2017 |
Visual content generation and editing › image retargeting
stereo image retargeting |
0.3 | 1 | 2017 | QoE-Guided Warping for Stereoscopic Image Retargeting · IEEE Trans. Image Process. 2017 |
Virtual and augmented reality › 3d display
stereoscopic display |
0.1 | 1 | 2017 | QoE-Guided Warping for Stereoscopic Image Retargeting · IEEE Trans. Image Process. 2017 |
Methods — techniques the papers use, named apart from their topics
warping · 0.3energy optimization · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | QoE-Guided Warping for Stereoscopic Image RetargetingabstractIn the field of stereoscopic 3D (S3D) display, it is an interesting as well as meaningful issue to retarget the stereoscopic images to the target resolution, while the existing stereoscopic image retargeting methods do not fully take user's Quality of Experience (QoE) into account. In this paper, we have presented a QoE-guided warping method for stereoscopic image retargeting, which retarget the stereoscopic image and adapt its depth range to the target display while promoting user's QoE. Our method takes shape preservation, visual comfort preservation, and depth perception preservation energies into account, and simultaneously optimizes the 2D coordinates and depth information in 3D space. It also considers the specific viewing configuration in the visual comfort and depth perception preservation energy constraints. Experimental results on visually uncomfortable and comfortable stereoscopic images demonstrate that in comparison with the existing stereoscopic image retargeting methods, the proposed method can achieve a reasonable performance optimization among the QoE's factors of image quality, visual comfort, and depth perception, leading to promising overall S3D experience. Feng Shao 0001, Wenchong Lin, Weisi Lin, Qiuping Jiang, Gangyi Jiang |
IEEE Trans. Image Process. | 2 |