Detection of hevc double compression with non-aligned gop structures via inter-frame quality degradation analysis

Q Xu, X Jiang, T Sun, AC Kot - Neurocomputing, 2021 - Elsevier
Detection of double compression is of great significance to reveal video compression
history. However, efficient detection algorithm for High Efficiency Video Coding (HEVC) …

GAN-based effective bit depth adaptation for perceptual video compression

D Ma, F Zhang, DR Bull - 2020 IEEE International Conference …, 2020 - ieeexplore.ieee.org
Resolution and effective bit depth (EBD) adaptation have been recently utilised in video
compression to improve coding efficiency. This type of approach dynamically reduces …

An efficient framework of reference picture resampling (RPR) for video coding

T Fu, K Zhang, L Zhang, S Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In Versatile Video Coding (VVC), reference picture resampling (RPR) is supported to
change resolution without inserting an instantaneous decoder refresh (IDR) picture or intra …

Towards hybrid-optimization video coding

S Huo, D Liu, H Zhang, L Li, S Ma, F Wu… - ACM Computing …, 2024 - dl.acm.org
Video coding that pursues the highest compression efficiency is the art of computing for rate-
distortion optimization. The optimization has been approached in different ways, exemplified …

System and method for designing efficient super resolution deep convolutional neural networks by cascade network training, cascade network trimming, and dilated …

H Ren, M El-Khamy, J Lee - US Patent 11,354,577, 2022 - Google Patents
Apparatuses and methods of manufacturing same, systems, and methods are described. In
one aspect, a method includes generating a convolutional neural network (CNN) by training …

Video compression based on jointly learned down-sampling and super-resolution networks

Y Wei, L Chen, L Song - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
With the blooming of deep learning technology in computer vision, the integration of deep
learning and the traditional video coding has made significant improvements, especially …

Multisensor collaboration network for video compression based on wavelet decomposition

H Lan, Z Ji, C Jung, D Zou, M Li - IEEE Transactions on Circuits …, 2022 - ieeexplore.ieee.org
Multi-sensor data has significant advantages over single sensor data due to the unique
property of each sensor. We discover that multi-sensor collaboration can save bits and …

Convolutional neural network-based sub-pixel line-edged angle detection with applications in measurement

S Pang, Z Chen, F Yin - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
High precision measurement is becoming an imperative requirement in many applications.
A novel sub-pixel line-edged angle detection method based on convolutional neural …

Spatial resolution adaptation framework for video compression

M Afonso, F Zhang, DR Bull - Applications of Digital Image …, 2018 - spiedigitallibrary.org
This paper presents a resolution adaptation framework for video compression. It dynamically
applies spatial resampling, trading off the relationship between spatial resolution and …

[PDF][PDF] Deep learning-based switchable network for in-loop filtering in high efficiency video coding.

HK Joy, MR Kounte - International Journal of Electrical & Computer …, 2023 - academia.edu
The video codecs are focusing on a smart transition in this era. A future area of research that
has not yet been fully investigated is the effect of deep learning on video compression. The …