Results 51 to 60 of about 2,242,158 (154)

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

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

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

Saliency-Enabled Coding Unit Partitioning and Quantization Control for Versatile Video Coding

Information, 2022
The latest video coding standard, versatile video coding (VVC), has greatly improved coding efficiency over its predecessor standard high efficiency video coding (HEVC), but at the expense of sharply increased complexity.
Wei Li, Xiantao Jiang, Jiayuan Jin, Tian Song, Fei Richard Yu   +4 more
doaj   +1 more source

A fast CU partition algorithm of ERP 360‐degree video based on deep learning

Electronics Letters, Volume 61, Issue 1, January/December 2025.
The main contributions of this article include three aspects. (1) Establishing a training and validation dataset with latitudinal and quantized parameter characteristics, (2) designing a lightweight convolutional neural network for predicting coding unit (CU) partition, and (3) developing a decision‐making algorithm capable of predicting partitioning ...
Hai Xiang, Fen Chen, Zongju Peng, Lian Huang   +3 more
wiley   +1 more source

Latitude‐Guided Adaptive Inter‐Frame CU Partitioning for Fast Panoramic Video Encoding

Electronics Letters, Volume 61, Issue 1, January/December 2025.
This letter proposes a multi‐feature attentive convolutional neural network (MFA‐CNN)‐based fast coding unit (CU) partitioning algorithm for panoramic video inter‐coding in versatile video coding (VVC). To address coding efficiency in panoramic videos, the algorithm employs latitude‐guided adaptive partitioning threshold and dynamic quantisation ...
Wenjun Zheng, Chao Yang, Ping An, Xinpeng Huang   +3 more
wiley   +1 more source