Results 51 to 60 of about 80,728 (157)

Recent progression of artificial intelligence driven no-reference video quality assessment techniques in multimedia services

Discover Computing
The importance of maintaining consistent visual quality has increased significantly due to the rapid advancement of video acquisition technologies, high-speed Internet connectivity, the widespread adoption of social media platforms, and the growing ...
Anish Kumar Vishwakarma, Rakesh Ranjan, Rahul Priyadarshi, D. Samuel Kollie   +3 more
doaj   +1 more source

No-reference Video Quality Assessment and Applications.

, 2014
published
openaire   +2 more sources

A Lightweight ROI-Based No-Reference Video Error-Tolerability Testing Framework: A Case Study on YOLOv7 Object Detection Using 300-Frame QCIF Videos

IEEE Access
In AIoT edge systems, video-based object detection is essential for smart surveillance, industrial inspection, and real-time monitoring. However, hardware faults in video decoders can introduce subtle but functionally critical visual errors that degrade ...
Jun-Tsung Wu, Tong-Yu Hsieh, Hideyuki Ichihara, Tomoo Inoue   +3 more
doaj   +1 more source

Video dataset containing video quality assessment scores obtained from standardized objective and subjective testing

Data in Brief
This paper presents a dataset comprising 700 video sequences encoded in the two most popular video formats (codecs) of today, H.264 and H.265 (HEVC). Six reference sequences were encoded under different quality profiles, including several bitrates and ...
Jaroslav Frnda, Marek Durica, Jerry Chun-Wei Lin, Philippe Fournier-Viger   +3 more
doaj   +1 more source

Role of Visual Saliency in Video Quality Assessments

IEEE Access
The human visual system naturally prioritizes unique and salient objects within a scene. In computer vision, visual saliency refers to the property that makes specific regions stand out in an image or video.
Syeda Eesha-Tir-Razia, Qaisar Abbas, Imran Fareed Nizami, Adil Ali Raja, Mutlaq B. Aldajani, Mudasir Wahab, Tallha Akram, Sadiq Ahmad   +7 more
doaj   +1 more source

BLVQE: Blind Laparoscopic Video Quality Evaluator using spatio-temporal interdependency and textural cues

Biomedical Engineering Advances
Quality assessment of laparoscopic videos is critical for ensuring accurate diagnostics and surgical precision. Traditional quality assessment methods typically focus on either spatial or textural features independently, limiting their effectiveness in ...
Sria Biswas, Rohini Palanisamy
doaj   +1 more source

Efficient Computational Cost Saving in Video Processing for QoE Estimation

IEEE Access
No-Reference video quality assessment has become a trending and challenging hot topic in estimating perceived quality in audiovisual content. In this paper, we present a proposal to considerably reduce the computational cost of video processing without ...
Alvaro Llorente, Javier Guinea Perez, Juan Antonio Rodrigo, David Jimenez, Jose Manuel Menendez   +4 more
doaj   +1 more source

Robust Video List Decoding in Error-Prone Transmission Systems Using a Deep Learning Approach

IEEE Access
This paper introduces a novel deep-learning assisted video list decoding method for error-prone video transmission systems. Unlike traditional list decoding techniques, our proposed system uses a Transformer-based no-reference image quality assessment ...
Yujing Zhang, Stephane Coulombe, Francois-Xavier Coudoux, Alexis Guichemerre, Patrick Corlay   +4 more
doaj   +1 more source

Evaluating Adversarial Robustness of No-Reference Image and Video Quality Assessment Models with Frequency-Masked Gradient Orthogonalization Adversarial Attack

Big Data and Cognitive Computing
Neural-network-based models have made considerable progress in many computer vision areas over recent years. However, many works have exposed their vulnerability to malicious input data manipulation—that is, to adversarial attacks.
Khaled Abud, Sergey Lavrushkin, Dmitry Vatolin   +2 more
doaj   +1 more source

Professional content analysis and quality assessment of cardiopulmonary resuscitation educational videos on social media platforms: a comparative study of YouTube, BiliBili, and TikTok

Frontiers in Public Health
BackgroundCardiopulmonary resuscitation (CPR) is an emergency medical procedure designed to restore circulation and respiratory function in patients who have suffered cardiac arrest. This study aimed to comprehensively analyze the upload sources, content
Chuanliang Pan, Luping Cheng, Bo Zhang, Xia Hu, Wenxin Wang, Guanglin Jiang   +5 more
doaj   +1 more source