Native Resolution Detection for 4K-UHD Videos

Zaixin Yang, Yu Dong, Li Song, Rong Xie, Lin Li, Yanan Feng
October 2020
Cite DOI

Abstract

There are many resolution enhancement methods to produce 4K-UHD videos including interpolation and deep learning based Super-Resolution, but lack of details, aliasing and unnatural transition are still inevitable and affect viewer’s immersive experience. Therefore, it is necessary to detect authenticity and native resolution of 4K-UHD videos. In this paper, we propose a new native resolution detection method for 4K-UHD videos. The method is based on extracting feature from the DCT frequency domain and integrating this feature in all frames. Our method can determine authenticity of 4K-UHD videos as well as native resolution, no matter which kind of SR model is applied for upscaling.

Type
Conference paper
Publication
2020 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)
"Discrete cosine transforms" "Videos" "DCT" "feature extraction" "Interpolation" "native 4K" "Native resolution" "Reliability" "Super-Resolution" "Superresolution" "UHDTV" "upscaling detection"
Li Song
Li Song
Professor, IEEE Senior Member

Professor, Doctoral Supervisor, the Deputy Director of the Institute of Image Communication and Network Engineering of Shanghai Jiao Tong University, the Double-Appointed Professor of the Institute of Artificial Intelligence and the Collaborative Innovation Center of Future Media Network, the Deputy Secretary-General of the China Video User Experience Alliance and head of the standards group.