Results 71 to 80 of about 492 (173)

AI Large Models for Power System: A Survey and Outlook

IET Smart Energy Systems, Volume 1, Issue 1, Page 3-21, June 2025.
This paper introduces the large models, concludes the remarkable capabilities of it and reviews recent advancements and potential applications of large models in power systems. Moreover, it summarizes the key enhancement technologies for optimizing the effectiveness of large models of power systems.
Qi Yao, Fang Fang, Yuanye Chen, Jizhen Liu, Haitang Mo, Yun Ao   +5 more
wiley   +1 more source

3d-ssim for video quality assessment

, 2012
Effective and efficient objective video quality assessment (VQA) methods are highly desirable in modern visual communication sys-tems for performance evaluation, quality control and resource alloca-tion purposes. Simple VQA algorithms may be developed by
Zhou Wang, Kai Zeng
core   +1 more source

DVL2024: A Larger Ultra-High-Definition Video Dataset for Perceptual Quality Study

IEEE Access
This paper introduces DVL2024, an expansive ultra-high definition (UHD) video dataset meticulously curated for advancing perceptual video quality assessment (VQA) research.
Jiefeng He, Jinchun Yuan, Fengchuang Xing   +2 more
doaj   +1 more source

Synchronisation, Optimisation and Adaptation of Machine Learning Techniques for Computer Vision in Cyber‐Physical Systems: A Comprehensive Analysis

IET Cyber-Physical Systems: Theory &Applications, Volume 10, Issue 1, January/December 2025.
This systematic analysis aims to offer a unique point to researchers and facilitates this process by allowing researchers to benchmark and compare various techniques, evaluate their effectiveness and establish best practices. It provides evidence‐based insights into optimal strategies for implementation while addressing potential trade‐offs in ...
Kai Hung Tang, Mohamed Chahine Ghanem, Pawel Gasiorowski, Vassil Vassilev, Karim Ouazzane   +4 more
wiley   +1 more source

Characterizing Natural Adversarial Examples Through Activation Map Analysis

IET Image Processing, Volume 19, Issue 1, January/December 2025.
This work proposes an analysis of activation maps to compare the behaviour of original images and different kinds of adversarial examples, both artificial and natural. For this purpose, different metrics are extracted from the activation heatmap, such as mean pixel values, centroid distance or reference image quality metrics.
Anibal Pedraza, Nerea Leon, Harbinder Singh, Oscar Deniz, Gloria Bueno   +4 more
wiley   +1 more source

Temporal video quality assessment method involving structural similarity index [PDF]

, 2016
In this paper, a video quality assessment (VQA) that focuses on temporal part is being proposed. It is based on Structural Similarity Index (SSIM) and the work of previous researchers where differences of the frames are being measured.
Bong, David B.L., Loh, Woei-Tan, Woei-Tan Loh, David B. L. Bong   +3 more
core   +1 more source

MCD‐YOLOv10n: A Small Object Detection Algorithm for UAVs

IET Image Processing, Volume 19, Issue 1, January/December 2025.
In this paper, an improved algorithm, MCD‐YOLOv10n, is proposed to address the small object detection challenge in UAV data acquisition. The MEMAttention module combines EMAttention and multi‐scale convolution to capture image features at different scales.C2f combines with MEMAttention and DSConv to enhance the flexibility of the network. The algorithm
Jinshuo Shi, Xitai Na, Shiji Hai, Qingbin Sun, Zhihui Feng, Xinyang Zhu   +5 more
wiley   +1 more source

New spatiotemporal method for assessing video quality [PDF]

, 2018
The existence of temporal effects and temporal distortions in a video differentiate the way it is assessed from an image. Temporal effects and distortions can enhance or depress the visibility of spatial effects in a video.
Boon, David Liang Bong, Loh, Woei-Tan
core   +1 more source

An Overview of Robot Embodied Intelligence Based on Multimodal Models: Tasks, Models, and System Schemes

International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.
The exploration of embodied intelligence has garnered widespread consensus in the field of artificial intelligence (AI), aiming to achieve artificial general intelligence (AGI). Classical AI models, which rely on labeled data for learning, struggle to adapt to dynamic, unstructured environments due to their offline learning paradigms.
Yao Cong, Hongwei Mo, Said El Kafhali
wiley   +1 more source

FOVQA: Blind Foveated Video Quality Assessment

, 2021
Previous blind or No Reference (NR) video quality assessment (VQA) models largely rely on features drawn from natural scene statistics (NSS), but under the assumption that the image statistics are stationary in the spatial domain. Several of these models
Bovik, Alan, Patney, Anjul, Webb, Richard, Jin, Yize   +3 more
core   +2 more sources