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Byung Cheol Song
Researcher at Inha University
Publications - 248
Citations - 2414
Byung Cheol Song is an academic researcher from Inha University. The author has contributed to research in topics: Motion estimation & Motion compensation. The author has an hindex of 22, co-authored 230 publications receiving 2040 citations. Previous affiliations of Byung Cheol Song include LG Electronics & Samsung.
Papers
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Patent
Method of and apparatus for video intraprediction encoding/decoding
TL;DR: In this paper, a method of and apparatus for video intraprediction encoding/decoding is presented. But the method is not suitable for the use of video data in the real world.
Patent
Image encoding/decoding method and apparatus
TL;DR: In this paper, an image encoding/decoding method and apparatus are provided, in which one of a plurality of color component images is predicted from a different color component image reconstructed using a correlation between the plurality of colour component images.
Book ChapterDOI
Self-supervised Knowledge Distillation Using Singular Value Decomposition
TL;DR: In this article, a knowledge distillation using singular value decomposition (SVD) was proposed to improve the quality of the transferred knowledge from T-DNN to improve its performance.
Journal ArticleDOI
Video Super-Resolution Algorithm Using Bi-Directional Overlapped Block Motion Compensation and On-the-Fly Dictionary Training
TL;DR: This paper presents a video super-resolution algorithm to interpolate an arbitrary frame in a low resolution video sequence from sparsely existing high resolution key-frames and shows that the proposed algorithm provides significantly better subjective visual quality as well as higher peak-to-peak signal- to-noise ratio than those by previous interpolation algorithms.
Posted Content
Self-supervised Knowledge Distillation Using Singular Value Decomposition
TL;DR: A new knowledge distillation using singular value decomposition (SVD) is proposed and outperforms the S-DNN driven by the state-of-the-art distillation with a performance advantage of 1.79%.