USTC-TD: A Test Dataset and Benchmark for Image and Video Coding in 2020s
Image/video coding has been a remarkable research area for both academia and industry
for many years. Testing datasets, especially high-quality image/video datasets are desirable …
for many years. Testing datasets, especially high-quality image/video datasets are desirable …
NVC-1B: A Large Neural Video Coding Model
The emerging large models have achieved notable progress in the fields of natural
language processing and computer vision. However, large models for neural video coding …
language processing and computer vision. However, large models for neural video coding …
Bi-Directional Deep Contextual Video Compression
Deep video compression has made remarkable process in recent years, with the majority of
advancements concentrated on P-frame coding. Although efforts to enhance B-frame coding …
advancements concentrated on P-frame coding. Although efforts to enhance B-frame coding …
Prediction and Reference Quality Adaptation for Learned Video Compression
X Sheng, L Li, D Liu, H Li - arXiv preprint arXiv:2406.14118, 2024 - arxiv.org
Temporal prediction is one of the most important technologies for video compression.
Various prediction coding modes are designed in traditional video codecs. Traditional video …
Various prediction coding modes are designed in traditional video codecs. Traditional video …
ECVC: Exploiting Non-Local Correlations in Multiple Frames for Contextual Video Compression
In Learned Video Compression (LVC), improving inter prediction, such as enhancing
temporal context mining and mitigating accumulated errors, is crucial for boosting rate …
temporal context mining and mitigating accumulated errors, is crucial for boosting rate …
Optimizing H. 266/VVC Intra Coding with a Genetic Algorithm: Balancing Speed and Quality.
MK I Ibraheem, AV Dvorkovich - Fusion: Practice & …, 2024 - search.ebscohost.com
The growing need for high-definition video material requires improvements in video
encoding systems that maximize encoding performance while simultaneously improving …
encoding systems that maximize encoding performance while simultaneously improving …
A Loss-initiated GAN-based Convolutional LSTM Method for Compression and Motion Estimation-Based Objective Enhancement in Images and Videos
RN Mudhavath, J Kumar, AR Yadav, R Kumar - 2024 - researchsquare.com
The issues of finding a suitable loss function for perceived similarity and enhancing
perceptual quality in substantially compressed videos still need to be resolved. The LIGAN …
perceptual quality in substantially compressed videos still need to be resolved. The LIGAN …
Accelerated and Memory-Efficient Distributed Deep Learning: Leveraging Quantization, Parallelism Techniques, and Mix-Match Runtime Communication
R Gulhane - 2024 - rave.ohiolink.edu
In recent years, there has been significant research and development in Deep Learning (DL)
due to its efficiency and extensive applicability across diverse domains, including Computer …
due to its efficiency and extensive applicability across diverse domains, including Computer …