Results 51 to 60 of about 492 (173)

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, Volume 43, Issue 3, Page 2254-2341, May 2026.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

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

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

rPPG-VQA: A Video Quality Assessment Framework for Unsupervised rPPG Training

CoRR
Unsupervised remote photoplethysmography (rPPG) promises to leverage unlabeled video data, but its potential is hindered by a critical challenge: training on low-quality "in-the-wild" videos severely degrades model performance. An essential step missing here is to assess the suitability of the videos for rPPG model learning before using them for the ...
Tianyang Dai, Ming Chang, Yan Chen, Yang Hu   +3 more
openaire   +2 more sources

New Opportunities For the Integration of Artificial Intelligence With Materials Science: From Large Language Models to Embodied Large Models

Materials Genome Engineering Advances, Volume 4, Issue 1, March 2026.
This review first introduces the diversified applications of large language models in materials discovery. Subsequently, the evolution of autonomous experimentation platforms empowered by large language models is analyzed. Finally, four key future research interests are proposed to develop embodied large models for driving autonomous experimentation ...
Zhen Song, Yishuai Cai, Yadong Yu, Pan Xiang, Minglong Li, Zhe Liu, Mengyan Dai   +6 more
wiley   +1 more source

Improving Transferability of Adversarial Attacks via Maximization and Targeting from Image to Video Quality Assessment

Big Data and Cognitive Computing
This paper proposes a novel method for transferable adversarial attacks from Image Quality Assessment (IQA) to Video Quality Assessment (VQA) models. Attacking modern VQA models is challenging due to their high complexity and the temporal nature of video
Georgii Gotin, Ekaterina Shumitskaya, Dmitriy Vatolin, Anastasia Antsiferova   +3 more
doaj   +1 more source

No-Reference Video Quality Estimation Based on Machine Learning for Passive Gaming Video Streaming Applications

IEEE Access, 2019
Recent years have seen increasing growth and popularity of gaming services, both interactive and passive. While interactive gaming video streaming applications have received much attention, passive gaming video streaming, in-spite of its huge success and
Nabajeet Barman, Emmanuel Jammeh, Seyed Ali Ghorashi, Maria G. Martini   +3 more
doaj   +1 more source

MACD: Online Video Anomaly Detection via Multi‐Agent Counterfactual Dialectics

IET Software, Volume 2026, Issue 1, 2026.
Online video anomaly detection (VAD) necessitates real‐time inference without access to future temporal context. Existing training‐free methods, while promising, often suffer from correlation bias, misclassifying infrequent but benign actions (e.g., running for exercise) as anomalies due to a lack of causal reasoning.
Xiaoye Ouyang, Shijie Liu, Liu Yuan, Yuan Wang, Xiaoling Zhu, Jipeng Qiang, Jiaxing Shen   +6 more
wiley   +1 more source

Descriptron: Artificial intelligence for automating taxonomic species descriptions with a user‐friendly software package

Systematic Entomology, Volume 51, Issue 1, January‐March 2026.
Descriptron is a GUI that integrates AI to automate species descriptions. Descriptron provides geometric morphometrics and colour patterns. Images and morphometrics are used as prompts for Vision‐Language Model descriptions. Abstract Recent advances in Computer Vision, Convolutional Neural Networks (CNNs), Vision Transformers (ViTs) and Large Language ...
Alex R. Van Dam, Liliya Štarhová Serbina   +1 more
wiley   +1 more source

Novel Spatio-Temporal Structural Information Based Video Quality Metric

, 2012
Video quality assessment (VQA) is very important for many video processing applications, e. g., compression, archiving, restoration, and enhancement.
Wang, Yue, Gao, Wen, Jiang, Tingting, Ma, Siwei   +3 more
core   +1 more source