SFNIC: Hybrid Spatial‐Frequency Information for Lightweight Neural Image Compression
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 +5 more
wiley +1 more source
Object Detection-Based Video Compression
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
Quality of Experience (QoE)-Aware Fast Coding Unit Size Selection for HEVC Intra-prediction [PDF]
The exorbitant increase in the computational complexity of modern video coding standards, such as High Efficiency Video Coding (HEVC), is a compelling challenge for resource-constrained consumer electronic devices.
Erabadda, Buddhiprabha +3 more
core +1 more source
Design of Efficient Perspective Affine Motion Estimation/Compensation for Versatile Video Coding (VVC) Standard [PDF]
The fundamental motion model of the conventional block-based motion compensation in High Efficiency Video Coding (HEVC) is a translational motion model. However, in the real world, the motion of an object exists in the form of combining many kinds of motions.
Young-Ju Choi +3 more
openaire +1 more source
Adaptive Parallelization Based on Frame‐Level and Tile‐Level Parallelisms for VVC Encoding
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 +4 more
wiley +1 more source
Decoder-ROI based Versatile Video Coding for Multi-Object Tracking Vision Task [PDF]
The video encoding standards High Efficiency Video Coding (HEVC) and, more recently, Versatile Video Coding (VVC) have introduced significant advancements in multimedia communication applications, such as video conferencing, broadcasting, and notably, E ...
Bui, Huong Thanh +2 more
core +2 more sources
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 +4 more
wiley +1 more source
A fast CU partition algorithm of ERP 360‐degree video based on deep learning
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 +3 more
wiley +1 more source
Latitude‐Guided Adaptive Inter‐Frame CU Partitioning for Fast Panoramic Video Encoding
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 +3 more
wiley +1 more source
Efficient VVC Intra Prediction Based on Deep Feature Fusion and Probability Estimation
The ever-growing multimedia traffic has underscored the importance of effective multimedia codecs. Among them, the up-to-date lossy video coding standard, Versatile Video Coding (VVC), has been attracting attentions of video coding community.
Feng, Weize +4 more
core

