Results 31 to 40 of about 256 (143)

MDS-VQA: Model-Informed Data Selection for Video Quality Assessment

CoRR
Learning-based video quality assessment (VQA) has advanced rapidly, yet progress is increasingly constrained by a disconnect between model design and dataset curation. Model-centric approaches often iterate on fixed benchmarks, while data-centric efforts collect new human labels without systematically targeting the weaknesses of existing VQA models ...
Jian Zou, Xiaoyu Xu, Zhihua Wang 0002, Yilin Wang, Balu Adsumilli, Kede Ma   +5 more
openaire   +2 more sources

BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models

Advanced Intelligent Systems, Volume 8, Issue 7, July 2026.
This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan, Kang Fu, Sijing Wu, Yunhao Li, Zicheng Zhang, Qiang Hu, Xiongkuo Min, Guangtao Zhai   +7 more
wiley   +1 more source

HIDRO-VQA: High Dynamic Range Oracle for Video Quality Assessment

2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
We introduce HIDRO-VQA, a no-reference (NR) video quality assessment model designed to provide precise quality evaluations of High Dynamic Range (HDR) videos. HDR videos exhibit a broader spectrum of luminance, detail, and color than Standard Dynamic Range (SDR) videos.
Shreshth Saini, Avinab Saha, Alan C. Bovik   +2 more
openaire   +2 more sources

Talking to the Brain: Using Large Language Models as Proxies to Model Brain Semantic Features

Human Brain Mapping, Volume 47, Issue 10, July 2026.
We introduce a novel paradigm using LLMs to map the brain's semantic space with greater ecological validity. This provides a robust framework for integrating naturalistic fMRI data and reveals a hierarchically organized semantic similarity space across the cerebral cortex.
Xin Liu, Ziyue Zhang, Jingxin Nie
wiley   +1 more source

RGC-VQA: An Exploration Database for Robotic-Generated Video Quality Assessment

Proceedings of the 33rd ACM International Conference on Multimedia
As camera-equipped robotic platforms become increasingly integrated into daily life, robotic-generated videos have begun to appear on streaming media platforms, enabling us to envision a future where humans and robots coexist. We innovatively propose the concept of Robotic-Generated Content (RGC) to term these videos generated from egocentric ...
Jianing Jin, Jiangyong Ying, Huiyu Duan, Liu Yang, Sijing Wu, Yunhao Li, Yushuo Zheng, Xiongkuo Min, Guangtao Zhai   +8 more
openaire   +2 more sources

Generative Artificial Intelligence and Large Language Models in Clinical Oncology

MedComm, Volume 7, Issue 7, July 2026.
By integrating multimodal data, including medical imaging, pathology, omics, and electronic health records, generative AI and LLMs support cancer diagnosis, treatment planning, and follow‐up management. These technologies also enhance physician–patient communication, improve personalized treatment strategies, and leverage intelligent agent automation ...
Yunfang Yu, Zhenhui Zhao, Zehua Wang, Ruichong Lin, Yujie Tan, Yongjian Chen, Ting Li, Daniel Baptista‐Hon, Xiaoxi Zhang, Chuan Wu, Man Tong, Lijun Zheng, Junyan Wu, Olivia Monteiro, Kang Zhang   +14 more
wiley   +1 more source

Crayons × Code: Re‐Exploring Children's Drawings With Multimodal AI and Dynamic Ethics

Area, Volume 58, Issue 2, June 2026.
ABSTRACT Children's drawings are used to study their environmental perception, but AI‐powered analysis of these visual materials remains underexplored. This paper re‐explores the use of children's drawings as a tool for understanding their perceptions of the environment, leveraging multimodal AI for analysis.
Chen Qu
wiley   +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

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 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