Results 51 to 60 of about 747 (178)

Versatile Video Coding-Post Processing Feature Fusion: A Post-Processing Convolutional Neural Network with Progressive Feature Fusion for Efficient Video Enhancement

Applied Sciences
Advanced video codecs such as High Efficiency Video Coding/H.265 (HEVC) and Versatile Video Coding/H.266 (VVC) are vital for streaming high-quality online video content, as they compress and transmit data efficiently.
Tanni Das, Xilong Liang, Kiho Choi
doaj   +1 more source

High‐Fidelity Ultra‐High‐Definition Chroma Reconstruction in the Scaled YCbCr Colour Space via LUL0 Factorisation and Generalised Lifting

IET Image Processing, Volume 20, Issue 1, January/December 2026.
To enhance high‐fidelity chroma reconstruction, this paper introduces a scaled YCbCr colour space implemented via a novel analytical LUL_0 factorisation and generalised lifting schemes for exact integer reversibility. Experiments on 240 ultra‐high‐definition images demonstrate that this approach achieves an average colour peak signal‐to‐noise ratio ...
Dan Li, Jiashu Zhang, Bormin Huang
wiley   +1 more source

Intra Prediction and Mode Coding in VVC

, 2022
S.3834-3847This paper presents the intra prediction and mode coding of the Versatile Video Coding (VVC) standard. This standard was collaboratively developed by the Joint Video Experts Team (JVET).
Filippov, A., De-Luxan-Hernandez, S., Pfaff, J., Chen, J., Rufitskiy, V., Auwera, G. van der, Wiegand, T., Liu, S., Ramasubramonian, A.K., Zhao, X.   +9 more
core   +1 more source

VVC coded distortion prediction model based on frame-level transform coefficient modeling of generalized Gaussian distribution

Dianxin kexue, 2023
In versatile video coding (VVC), a variety of advanced coding tools work together to achieve excellent coding performance.Compared with high efficient video coding (HEVC), the transform coefficient distribution (TCD) of VVC has sharper peaks.In order to ...
Yiyin GU, Hongkui WANG, Haibin YIN
doaj   +2 more sources

Transform Network Architectures for Deep Learning Based End-to-End Image/Video Coding in Subsampled Color Spaces

IEEE Open Journal of Signal Processing, 2021
Most of the existing deep learning based end-to-end image/video coding (DLEC) architectures are designed for non-subsampled RGB color format. However, in order to achieve a superior coding performance, many state-of-the-art block-based compression ...
Hilmi Egilmez, Ankitesh Kumar Singh, Muhammed Coban, Marta Karczewicz, Yinhao Zhu, Yang Yang, Amir Said, Taco Cohen   +7 more
doaj   +1 more source

SFNIC: Hybrid Spatial‐Frequency Information for Lightweight Neural Image Compression

CAAI Transactions on Intelligence Technology, Volume 10, Issue 6, Page 1717-1730, December 2025.
ABSTRACT Neural image compression (NIC) has shown remarkable rate‐distortion (R‐D) efficiency. However, the considerable computational and spatial complexity of most NIC methods presents deployment challenges on resource‐constrained devices. We introduce a lightweight neural image compression framework designed to efficiently process both local and ...
Youneng Bao, Wen Tan, Mu Li, Jiacong Chen, Qingyu Mao, Yongsheng Liang   +5 more
wiley   +1 more source

Object Detection-Based Video Compression

Applied Sciences, 2022
Video compression is designed to provide good subjective image quality, even at a high-compression ratio. In addition, video quality metrics have been used to show the results can maintain a high Peak Signal-to-Noise Ratio (PSNR), even at high ...
Myung-Jun Kim, Yung-Lyul Lee
doaj   +1 more source

Adaptive Parallelization Based on Frame‐Level and Tile‐Level Parallelisms for VVC Encoding

Concurrency and Computation: Practice and Experience, Volume 37, Issue 25-26, 30 November 2025.
ABSTRACT To meet the growing demand for high‐efficiency video compression standards, Versatile Video Coding (VVC) has been developed as a successor to High Efficiency Video Coding (HEVC). VVC offers approximately a 50% reduction in bitrate compared to HEVC while maintaining comparable visual quality.
Karin Onouchi, Masayuki Sato, Hiroe Iwasaki, Kazuhiko Komatsu, Hiroaki Kobayashi   +4 more
wiley   +1 more source

Exploring High Dimensional Feature Space With Channel‐Spatial Nonlinear Transforms for Learned Image Compression

CAAI Transactions on Intelligence Technology, Volume 10, Issue 4, Page 1235-1253, August 2025.
ABSTRACT Nonlinear transforms have significantly advanced learned image compression (LIC), particularly using residual blocks. This transform enhances the nonlinear expression ability and obtain compact feature representation by enlarging the receptive field, which indicates how the convolution process extracts features in a high dimensional feature ...
Wen Tan, Fanyang Meng, Chao Li, Youneng Bao, Yongsheng Liang   +4 more
wiley   +1 more source

Open GOP Resolution Switching in HTTP Adaptive Streaming with VVC

, 2021
S.91-95The user experience in adaptive HTTP streaming relies on offering bitrate ladders with suitable operation points for all users and typically involves multiple resolutions. While open GOP coding structures are generally known to provide substantial
Sanchez, Y., Wieckowski, A., Christian Bartnik, Schierl, T., Cornelius Hellge, Thomas Schierl, Bartnik, C., Skupin, R., Hellge, C., Adam Wieckowski, Benjamin Bross, Yago Sanchez, Bross, B., Robert Skupin   +13 more
core   +1 more source