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Dongsan Jun

Researcher at Electronics and Telecommunications Research Institute

Publications -  52
Citations -  892

Dongsan Jun is an academic researcher from Electronics and Telecommunications Research Institute. The author has contributed to research in topics: Encoder & Motion compensation. The author has an hindex of 12, co-authored 51 publications receiving 827 citations. Previous affiliations of Dongsan Jun include Kyungnam University & KAIST.

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Patent

A method and an apparatus for processing a video signal

TL;DR: In this paper, an apparatus for processing a video signal and method thereof are disclosed, which includes receiving prediction mode information, interpolating information and a residual of a current block, reconstructing an interpolating pixel using the interpolating and a neighbor block, and reconstructing the current block using the pixel, the prediction mode and the residual.
Patent

Method and an apparatus for processing a video signal

TL;DR: In this paper, an apparatus for processing a video signal and method thereof are disclosed, which includes receiving prediction mode information, interpolating information and a residual of a current block, reconstructing an interpolating pixel using the interpolating and a neighbor block, and reconstructing the current block using the pixel, the prediction mode and the residual.
Journal ArticleDOI

Early Coding Unit-Splitting Termination Algorithm for High Efficiency Video Coding (HEVC)

TL;DR: This work proposes a new approach that can terminate the quadtree‐based structure early, based on the RD costs of the parent and current levels, and shows that this algorithm provides a significant time reduction for encoding, with only a small loss in video quality.
Journal ArticleDOI

A Fast Intra-Prediction Method in HEVC Using Rate-Distortion Estimation Based on Hadamard Transform

TL;DR: Among the many predefined modes, the intra‐prediction mode is chosen using the difference between the minimum and second minimum of the rate‐distortion cost estimation based on the Hadamard transform, which achieves a nearly similar coding performance to that of HEVC test model 2.1.
Journal ArticleDOI

An SAD-Based Selective Bi-prediction Method for Fast Motion Estimation in High Efficiency Video Coding

TL;DR: A selective bi‐prediction method is proposed to reduce the encoding complexity of HEVC by evaluating the statistical property of the sum of absolute differences in the motion estimation process and determining whether bi-prediction is performed.