Sung-Jun Yoon, Yong-Woo Kim (Advised by Mun-Churl Kim) Awarded Gold Prize at IPIU 2018 (Best Paper Award)

M.S student Sung-Jun Yoon and Ph.D. student Yong-Woo Kim (Advised by Mun-Churl Kim) awarded the Gold Prize (Selected 2 first prize out of 280 published papers) at the "Workshop on Image Processing and Image Understanding (IPIU 2018)" conference held once a year as an academic event in the field of computer vision and image processing.

-Name of the Academic Event: Workshop on Image Processing and Image Understanding (IPIU 2018)

-Event Period: February 7th (Wed), 2018 - February 9th (Fri), 2018

-Place of Event: Maison Glad Jeju Hotel

-Title of Paper: A study on frame rate improvement using hierarchical convolution neural network

-Authors: Sung-Jun Yoon, Yong-Woo Kim, Mun-Churl Kim


In this paper, we propose a frame rate enhancement method using hierarchical convolution neural network. The convolutional neural network is constructed hierarchically, and the convolution operation is performed at the optimal position adaptively, so that the performance is robust against the interpolation of the fast moving object.

As a result, compared with the existing ICCV 2017 "Video Frame Interpolation via Adaptive Separable Convolution" algorithm, the improvement was 0.41dB in terms of peak signal-to-noise ratio (PSNR)

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