Results 51 to 60 of about 839 (127)
Low-Consumption Partial Transcoding by HEVC
, 2023 A transcoding scheme for the High Efficiency Video Coding (HEVC) is proposed that allows any partial frame modification to be followed by a partial re-compression of only the modified areas, while guaranteeing identical reconstruction of non-modified ...
Abdoli, Mohsen +2 more
core
, 2023 Learning-based video compression has been extensively studied over the past years, but it still has limitations in adapting to various motion patterns and entropy models.
Chen, Yu +4 more
core
This paper provides a survey of the latest developments in visual signal coding and processing with generative models. Specifically, our focus is on presenting the advancement of generative models and their influence on research in the domain of visual ...
Chen, Zhibo +3 more
core +2 more sources
, 2023 Recently, learned video compression has achieved exciting performance. Following the traditional hybrid prediction coding framework, most learned methods generally adopt the motion estimation motion compensation (MEMC) method to remove inter-frame ...
Huang, Qian +4 more
core
CNN-based Prediction of Partition Path for VVC Fast Inter Partitioning Using Motion Fields
, 2023 The Versatile Video Coding (VVC) standard has been recently finalized by the Joint Video Exploration Team (JVET). Compared to the High Efficiency Video Coding (HEVC) standard, VVC offers about 50% compression efficiency gain, in terms of Bjontegaard ...
Guillemot, Christine +4 more
core
Intra Prediction Method for Depth Video Coding by Block Clustering through Deep Learning. [PDF]
Sensors (Basel), 2022 Lee DS, Kwon SK.
europepmc +1 more source
NRVC: Neural Representation for Video Compression with Implicit Multiscale Fusion Network. [PDF]
Entropy (Basel), 2023 Liu S +6 more
europepmc +1 more source
A Study on Fast and Low-Complexity Algorithms for Versatile Video Coding. [PDF]
Sensors (Basel), 2022 Choi K.
europepmc +1 more source
Deep Learning Post-Filtering Using Multi-Head Attention and Multiresolution Feature Fusion for Image and Intra-Video Quality Enhancement. [PDF]
Sensors (Basel), 2022 Schiopu I, Munteanu A.
europepmc +1 more source
Convolutional Neural Network (CNN) and Transformer have attracted much attention recently for video post-processing (VPP). However, the interaction between CNN and Transformer in existing VPP methods is not fully explored, leading to inefficient ...
Cui, Wenxue +3 more
core