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Ren-Jie Wang

dblp:56/1787 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 4 · 3 first-author

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
Rendering · 87% Image and video processing · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Rendering
non-photorealistic rendering
0.112007
Image-Based Color Ink Diffusion Rendering · IEEE Trans. Vis. Comput. Graph. 2007
Rendering › non-photorealistic rendering
painterly rendering
0.112007
Image-Based Color Ink Diffusion Rendering · IEEE Trans. Vis. Comput. Graph. 2007

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

texture synthesis · 0.1kubelka-munk theory · 0.1color segmentation · 0.1
YearPublicationVenuePosition
2014 Content-based image retrieval using H.264 intra coding features
Ren-Jie Wang, Ya-Ting Yang, Pao-Chi Chang
J. Vis. Commun. Image Represent.1
2014 Adaptive Downsampling Video Coding With Spatially Scalable Rate-Distortion Modeling
abstract
Downsampling video coding, whereby downsampled frames are encoded, provides improved perceptual quality in rate-constrained situations. This method shows considerable advantages over other approaches, particularly in wide-spreading high-definition video formats. This paper provides a comprehensive analysis of downsampling video coding. The study proposes a spatially scalable rate-distortion (RD) model, comprising quantization-distortion and quantization-rate models, and develops an optimal encoding frame size determination framework. The proposed method achieves a gain up to 2.3 dB peak signal-to-noise ratio (PSNR) at 1 Mb/s when compared with conventional full frame size coding. The RD performance is close to the optimal scenario, in which the ideal frame size is obtained by heuristically performing downsampling coding in various allowable sizes.
Ren-Jie Wang, Chih-Wei Huang, Pao-Chi Chang
IEEE Trans. Circuits Syst. Video Technol.1
2011 Quality Estimation for H.264/SVC Inter-layer Residual Prediction in Spatial Scalability
Ren-Jie Wang, Yan-Ting Jiang, Jiunn-Tsair Fang, Pao-Chi Chang
PSIVT (2)1
2007 Image-Based Color Ink Diffusion Rendering
abstract
This paper proposes an image-based painterly rendering algorithm for automatically synthesizing an image with color ink diffusion. We suggest a mathematical model with a physical base to simulate the phenomenon of color colloidal ink diffusing into absorbent paper. Our algorithm contains three main parts: a feature extraction phase, a Kubelka-Munk (KM) color mixing phase, and a color ink diffusion synthesis phase. In the feature extraction phase, the information of the reference image is simplified by luminance division and color segmentation. In the color mixing phase, the KM theory is employed to approximate the result when one pigment is painted upon another pigment layer. Then, in the color ink diffusion synthesis phase, the physically-based model that we propose is employed to simulate the result of color ink diffusion in absorbent paper using a texture synthesis technique. Our image-based ink diffusing rendering (IBCIDR) algorithm eliminates the drawback of conventional Chinese ink simulations, which are limited to the black ink domain, and our approach demonstrates that, without using any strokes, a color image can be automatically converted to the diffused ink style with a visually pleasing appearance.
Chung-Ming Wang, Ren-Jie Wang
IEEE Trans. Vis. Comput. Graph.2