Results 61 to 70 of about 492 (173)
Hierarchical Gradient Similarity Based Video Quality Assessment Metric
Video quality assessment (VQA) plays an important role in video applications for quality evaluation and resource allocation. It aims to evaluate video quality in a way that is consistent with human perception.
Jie Yang +5 more
core +2 more sources
The heterogeneity of the network at the edge creates unequal bandwidth availability for clients connected through diverse networks and devices. This variability can lead to bandwidth fluctuations and slow response times, resulting in buffering or degraded streaming performance.
Reza Kalan +3 more
wiley +1 more source
Video Quality Assessment (VQA) using Vision Transformers
In this paper, we check the potential of vision transformers in the field of Video Quality Assessment (VQA). Vision Transformers (ViT) are used in field of computer vision based on working nature of transformers in Natural Language Processing (NLP) tasks. They work on the relationship between the input tokens internally.
Kallam Lalithendar Reddy +3 more
openaire +1 more source
Benford's Law in Basic RNN and Long Short‐Term Memory and Their Associations
This work examines neural networks from a novel perspective, demonstrating two key findings as proof of concept: (1) Benford's Law is present in neural network weights, and (2) higher‐accuracy models exhibit stronger conformity to Benford's Law. ABSTRACT Benford's Law describes the distribution of numerical patterns, specifically focusing on the ...
Farshad Ghassemi Toosi
wiley +1 more source
The Rise of Large Language Models: Evolution, Applications, and Future Directions
This paper provides a comprehensive Systematic Literature Review (SLR) on Large Language Models (LLMs), covering their evolution, applications, evaluation metrics, and challenges. It identifies key research gaps and future directions, offering a structured taxonomy and analysis of performance environments, datasets, and open issues in LLM research ...
Amir Masoud Rahmani +2 more
wiley +1 more source
No-Reference Video Quality Assessment based on The Dover Framework using A Transfer Learning Method
No-reference Video Quality Assessment (VQA) presents a critical challenge in digital multimedia. This study explores video quality measurement using the DOVER framework combined with a transfer learning method. While existing approaches often rely on end-
Ardhi Muda Ariska +1 more
doaj +1 more source
VQA 2 : Visual Question Answering for Video Quality Assessment
23 pages 12 ...
Ziheng Jia +9 more
openaire +2 more sources
Weak Supervision: A Survey on Predictive Maintenance
The authors conduct a comprehensive examination of Weakly Supervised Learning for Predictive Maintenance, the survey discusses the challenges and identifies open research lines. ABSTRACT The maintenance advancements achieved in Industry 4.0 generate large amounts of data, necessitating complete, accurate, and precise labels for training datasets to ...
Antonio M. Martínez‐Heredia +1 more
wiley +1 more source
Video Quality Assessment with Texture Information Fusion for Streaming Applications
The rise in video streaming applications has increased the demand for video quality assessment (VQA). In 2016, Netflix introduced Video Multi-Method Assessment Fusion (VMAF), a full reference VQA metric that strongly correlates with perceptual quality ...
Balakrishna Menon, Vignesh Vijayakumar +6 more
core +2 more sources
Video Quality Assessment Methods : A Bird's-eye view [PDF]
The proliferation of multimedia technology and services in today's world provide ample research scope in the frontiers of visual signal processing. Wide spread usage of video based applications in heterogeneous environment needs viable methods of Video ...
Dr. S. Chandramathi, Arun kumar P M
core +1 more source

