Recent trending on learning based video compression: A survey
The increase of video content and video resolution drive more exploration of video
compression techniques recently. Meanwhile, learning-based video compression is …
compression techniques recently. Meanwhile, learning-based video compression is …
When bitstream prior meets deep prior: Compressed video super-resolution with learning from decoding
The standard paradigm of video super-resolution (SR) is to generate the spatial-temporal
coherent high-resolution (HR) sequence from the corresponding low-resolution (LR) version …
coherent high-resolution (HR) sequence from the corresponding low-resolution (LR) version …
Deep video precoding
E Bourtsoulatze, A Chadha, I Fadeev… - … on Circuits and …, 2019 - ieeexplore.ieee.org
Several groups worldwide are currently investigating how deep learning may advance the
state-of-the-art in image and video coding. An open question is how to make deep neural …
state-of-the-art in image and video coding. An open question is how to make deep neural …
Using convolutional neural networks in the development of a water pipe leakage and location identification system
YL Tsai, HC Chang, SN Lin, AH Chiou, TL Lee - Applied Sciences, 2022 - mdpi.com
To overcome the challenges brought about by abnormal weather and the growing industrial
water consumption in Taiwan, the Taiwanese government is transporting water from the …
water consumption in Taiwan, the Taiwanese government is transporting water from the …
Multiple resolution prediction with deep up-sampling for depth video coding
The depth video contains large smooth contents with sharp edges. Since the deep learning-
based color video orientated intra prediction methods pay no attention to the characteristics …
based color video orientated intra prediction methods pay no attention to the characteristics …
Invertibility-driven interpolation filter for video coding
Motion compensation with fractional motion vector has been widely utilized in the video
coding standards. The fractional samples are usually generated by fractional interpolation …
coding standards. The fractional samples are usually generated by fractional interpolation …
Downsampling based light field video coding with restoration network using joint spatio-angular and epipolar information
V Van Duong, TN Huu, J Yim… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
This paper proposes a new downsampling-based light field video coding (D-LFVC)
framework whose success relies on how to design an effective restoration method that can …
framework whose success relies on how to design an effective restoration method that can …
HEVC intra frame coding based on convolutional neural network
The HEVC standard offers high performance with a lower bitrate for intra frame coding, but
still requires many bits. An alternative intra frame coding framework based on convolutional …
still requires many bits. An alternative intra frame coding framework based on convolutional …
Adaptive lightweight license plate image recovery using deep learning based on generative adversarial network
W Sereethavekul, M Ekpanyapong - IEEE Access, 2023 - ieeexplore.ieee.org
Many Convolutional Neural Networks (CNNs) methods have already surpassed traditional
approaches to image restoration tasks. Those CNNs models were usually designed to …
approaches to image restoration tasks. Those CNNs models were usually designed to …
Designs and Implementations in Neural Network-based Video Coding
The past decade has witnessed the huge success of deep learning in well-known artificial
intelligence applications such as face recognition, autonomous driving, and large language …
intelligence applications such as face recognition, autonomous driving, and large language …