Korea Advanced Institute of Science and Technology

Agency for Defense Development

Se Hwan Ki

Mun Churl Kim

Dong Hyun Kim

Seung Ho Baek

Jong Hwan Ko

Dae Eun Kim

Jeung Won Choi

Ju Hyun Jung

Ki Nam Jun

No Hyeok Park

Disclosed are a video processing method and a device therefor. The video processing method may include receiving a video comprising a plurality of temporal portions, receiving a first model parameter corresponding to a first neural network to process the video entirely, receiving residues between the first model parameter and a plurality of second model parameters corresponding to a plurality of second neural networks to process the plurality of temporal portions, and performing at least one of super-resolution, reverse or inverse tone mapping, tone mapping, frame interpolation, motion deblurring, denoising, and compression artifact removal on the video based on the residues.

Video processing method and apparatus

Provided are a method and an apparatus for performing scalable video decoding, wherein the method and the apparatus down-sample input video, determine the down-sampled input video as base layer video, generate prediction video for enhancement layer video by applying an up-scaling filter to the base layer video, and code the base layer video and the prediction video, wherein the up-scaling filter is a convolution filter of a deep neural network.

Apparatus and method for performing scalable video decoding

Growing community of inventors

Daejeon, South Korea

Se Hwan Ki