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Shin-Bei Tsai

dblp:226/0262 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
—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
Image and video coding · 56% Image and video processing · 44%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing › image resampling › image rescaling
image upsampling
0.312018
Adaptive Effective Wiener Filter- and Regression-Based Upsampling for Asymmetric Resolution Stereoscopic Video Coding · IEEE Trans. Image Process. 2018
Image and video coding › multiview video coding
stereo video coding
0.312018
Adaptive Effective Wiener Filter- and Regression-Based Upsampling for Asymmetric Resolution Stereoscopic Video Coding · IEEE Trans. Image Process. 2018
Image and video coding › multiview video coding
inter-view prediction
0.112018
Adaptive Effective Wiener Filter- and Regression-Based Upsampling for Asymmetric Resolution Stereoscopic Video Coding · IEEE Trans. Image Process. 2018

Methods — techniques the papers use, named apart from their topics

residual compensation · 0.3linear regression · 0.3adaptive fusion · 0.3
YearPublicationVenuePosition
2018 Adaptive Effective Wiener Filter- and Regression-Based Upsampling for Asymmetric Resolution Stereoscopic Video Coding
abstract
In asymmetric resolution stereoscopic video coding (ARSVC), a stereoscopic video consists of one full-sized leftview video sequence and the synchronized quarter-sized rightview video sequence for achieving a bitrate reduction effect by the encoder. Prior to displaying 3D scenes on the screen, it is necessary to upsample the decoded downsampled right-view video sequence at the client side. In this paper, we propose an effective adaptive upsampling method for ARSVC. First, we employ the resolution- and texture-consistency (RTC) consideration in the conventional Wiener filter-based interpolation scheme, called RTCWF, to enhance the upsampling accuracy in the spatial domain. Second, we propose a linear regression-based interview prediction (LRIP) scheme with residual compensation (RC), called LRIPRC, to increase the upsampling accuracy in the interview domain. Third, we propose an adaptive fusion-based approach to integrate RTCWF and LRIPRC, called RTCWFLRIPRC, to maximize the quality improvement of the upsampled image. Based on seven typical test stereoscopic video sequences, in 3D-HEVC, the experimental results demonstrated that in terms of six well-known quality metrics and execution time requirements, our RTCWF-LRIPRC method outperforms the state-of-the-art upsampling methods for ARSVC.
Kuo-Liang Chung, Shin-Bei Tsai, Yu-Ling Tseng, Chi-Chao Huang
IEEE Trans. Image Process.2