Results 51 to 60 of about 298 (152)
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 +7 more
doaj +1 more source
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
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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
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
Saliency-Enabled Coding Unit Partitioning and Quantization Control for Versatile Video Coding
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 +4 more
doaj +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
Image Compression Model Based on Dynamic Convolution and Vision Mamba
An end‐to‐end image compression model integrates Vision Mamba and omni‐dimensional dynamic convolution. Enhancements to the variational autoencoder‐based framework improved its global information modelling. Two models, lightweight and heavyweight, are designed to compete with the methods of recent years.
Lingchen Qiu +4 more
wiley +1 more source
Low Complexity Decision Algorithm for CU Partition Based on Image Texture Information and LGBM
In order to solve the problem of insufficient compression efficiency of High-Efficiency Video coding (HEVC) in the current video market, a new generation of Versatile Video Coding (VVC) has been proposed. However, the newly added Multi-Type Tree (MTT) in
Erlin Tian, Xiaowei Qian, Qiuwen Zhang
doaj +1 more source

