Results 21 to 30 of about 256 (143)
RAVA: Region-Based Average Video Quality Assessment
Sensors, 2021 Video has become the most popular medium of communication over the past decade, with nearly 90 percent of the bandwidth on the Internet being used for video transmission.
Xuanyi Wu +3 more
doaj +1 more source
KonVid-150k: A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild
IEEE Access, 2021 Video quality assessment (VQA) methods focus on particular degradation types, usually artificially induced on a small set of reference videos. Hence, most traditional VQA methods under-perform in-the-wild.
Franz Gotz-Hahn +3 more
doaj +1 more source
Video Quality Analysis: Steps towards Unifying Full and No Reference Cases
Standards, 2022 Video quality assessment (VQA) is now a fast-growing field, maturing in the full reference (FR) case, yet challenging in the exploding no reference (NR) case.
Pankaj Topiwala +4 more
doaj +1 more source
Light-VQA: A Multi-Dimensional Quality Assessment Model for Low-Light Video Enhancement
Proceedings of the 31st ACM International Conference on Multimedia, 2023 Recently, Users Generated Content (UGC) videos becomes ubiquitous in our daily lives. However, due to the limitations of photographic equipments and techniques, UGC videos often contain various degradations, in which one of the most visually unfavorable effects is the underexposure.
Yunlong Dong +5 more
openaire +2 more sources
Evaluating the Role of Content in Subjective Video Quality Assessment
The Scientific World Journal, 2014 Video quality as perceived by human observers is the ground truth when Video Quality Assessment (VQA) is in question. It is dependent on many variables, one of them being the content of the video that is being evaluated. Despite the evidence that content
Milan Mirkovic +4 more
doaj +1 more source
2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 2023 With the rapid growth of Internet video data amounts and types, a unified Video Quality Assessment (VQA) is needed to inspire video communication with perceptual quality. To meet the real-time and universal requirements in providing such inspiration, this study proposes a VQA model from a classification of User Generated Content (UGC), Professionally ...
Xinhui Huang +4 more
openaire +2 more sources
Entropy, 2022 Mobile multimedia communication requires considerable resources such as bandwidth and efficiency to support Quality-of-Service (QoS) and user Quality-of-Experience (QoE).
Syeda Maria Gillani +5 more
doaj +1 more source
Story2Board: A Training‐Free Approach for Expressive Visual Storytelling
Computer Graphics Forum, EarlyView.Abstract We present Story2Board, a training‐free framework for expressive storyboard generation from natural language. Existing methods narrowly focus on subject identity, overlooking key aspects of visual storytelling such as spatial composition, background evolution, and narrative pacing.
D. Dinkevich +4 more
wiley +1 more source
DPC-VQA: Decoupling Quality Perception and Residual Calibration for Video Quality Assessment
CoRRRecent multimodal large language models (MLLMs) have shown promising performance on video quality assessment (VQA) tasks. However, adapting them to new scenarios remains expensive due to large-scale retraining and costly mean opinion score (MOS) annotations.
Xinyue Li 0001 +5 more
openaire +2 more sources
Toward Autonomous Clinics: Human–Robot Collaboration in Clinical Care
MedComm, Volume 7, Issue 8, August 2026.This graphical abstract summarizes the conceptual structure of human–robot collaboration (HRC) for autonomous clinical systems. The framework is organized around a dual‐brain architecture in which a professional brain supports clinical reasoning tasks such as diagnosis, image analysis, treatment planning, and patient monitoring, while a physical brain ...
Xinyuan Wu +8 more
wiley +1 more source