CtuNet: A Deep Learning-based Framework for Fast CTU Partitioning of H265/HEVC Intra- coding
Nowadays, real-time multimedia applications mandate high video quality while maintaining reasonable bitrates. The H.264 coding delivered inexpensive bitrate costs compared to other coding schemes while maintaining high-grade video quality, yet bounded to
Farid Zaki +2 more
doaj +1 more source
End-to-end security for video distribution [PDF]
Content distribution applications such as digital broadcasting, video-on-demand services, video conferencing, surveillance, and telesurgery are confronted with difficultiesbesides the inevitable compression and quality challengeswith respect to ...
Boho, Andras +7 more
core +1 more source
Research on Adding Global Registration Model in Video Coding With Local Affine Motion Model
With the widespread application of local affine (LA) motion models in various video coding standards, this study explores the implementation methods and performance changes of introducing a global registration model in an encoder that already includes a LA motion model.
Zhe Zheng +7 more
wiley +1 more source
Cross‐Platform Based Scalable 3D Media Sequence Playback Framework Architecture
This paper presents a novel study on a web playback framework designed to efficiently render stereoscopic 3D media content across various platforms within web environments. We propose a scalable 3D media web playback framework (S3WPF) that leverages advanced encoding technology.
Kwangmu Shin, Sunghoon Kim
wiley +1 more source
Spatial-Temporal Residue Network Based In-Loop Filter for Video Coding
Deep learning has demonstrated tremendous break through in the area of image/video processing. In this paper, a spatial-temporal residue network (STResNet) based in-loop filter is proposed to suppress visual artifacts such as blocking, ringing in video ...
Jia, Chuanmin +4 more
core +1 more source
MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video
The past few years have witnessed great success in applying deep learning to enhance the quality of compressed image/video. The existing approaches mainly focus on enhancing the quality of a single frame, not considering the similarity between ...
Guan, Zhenyu +5 more
core +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 Prediction Mode Decisions for Low Complexity MV-HEVC
The increased number of possible inter-prediction blocks sizes, improved the coding efficiency of High Efficiency Video Coding (HEVC), but at the same time it also increased the complexity of the encoder.
Shahid Nawaz Khan +3 more
doaj +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
Steerable-Discrete-Cosine-Transform (SDCT): Hardware Implementation and Performance Analysis
In the last years, the need for new efficient video compression methods grown rapidly as frame resolution has increased dramatically. The Joint Collaborative Team on Video Coding (JCT-VC) effort produced in 2013 the H.265/High Efficiency Video Coding ...
Riccardo Peloso +5 more
doaj +1 more source

