"Convolution"

3D-BitNet: Flow-Agnostic and Precise Network for video Bit-Depth Expansion

Bit-depth expansion(BDE) algorithms have made great progress on single image. However, it is hard to directly apply on videos with no temporal constraint. Aiming at the problem of video BDE, we adopt an encoder-decoder structure with 3D convolution …

FPGA Based Video Transcoding System with 2K-4K Super-Resolution Conversion

We present a FPGA-based system supporting video stream transcoding with 2k full high-definition (FHD) video to 4k ultra high-definition (UHD) video super- resolution(SR) conversion. Our system focuses on building a functional pipeline with …

Advanced CNN Based Motion Compensation Fractional Interpolation

Fractional-sample precision motion compensation has been widely adopted in a series of video coding standards to further improve compression efficiency. Usually, signal decomposition based interpolation filters are used to generate fractional samples …

Deep Video Inverse Tone Mapping

Inverse tone mapping is an important topic in High Dynamic Range technology. Recent years, deep learning based image inverse tone mapping methods have been extensively studied and perform better than classical inverse tone mapping methods. However, …

GPU accelerated high-quality video/image super-resolution

This paper presents several novel GPU optimization technologies to accelerate the SRCNN(Super-Resolution Convolutional Neural Network) - one of the best super-resolution algorithm. We first directly parallelize and implement the SRCNN, then …