Papers Video Quality Assessment
“Video Quality Assessment” 태그가 달린 논문 260편 · 필터 해제
High-Fidelity Video Quality Assessment with VQA-Specific Saliency
No-reference video quality assessment (NR VQA) has recently seen promising progress with deep learning. However, video data is inherently large, and processing them with deep models incurs high computational cost. This c…
Video Quality AssessmentCamWorldQA: Perceptual Quality Assessment of Camera-Controlled World Video Generation
Recent advances in generative video models have enabled camera-controlled world video generation, allowing models to synthesize videos under user-defined camera trajectories. However, existing video quality assessment (V…
Video Quality AssessmentVideo GenerationContrastive Order Learning: A General Framework for Ordinal Regression
We propose contrastive order learning (ConOrd), a contrastive learning framework for ordinal regression that integrates the strengths of contrastive learning and order learning. While contrastive learning effectively lev…
Image Quality AssessmentVideo Quality AssessmentContrastive LearningAge EstimationLearning Flexible Generalization in Video Quality Assessment by Bringing Device and Viewing Condition Distributions
Video quality assessment (VQA) plays a critical role in optimizing video delivery systems. While numerous objective metrics have been proposed to approximate human perception, the perceived quality strongly depends on vi…
Video Quality AssessmentCompressedVQA-AEV: Full-Reference and No-Reference Quality Assessment Models for Asymmetric Encoded Videos
This report presents our solutions to the QoMEX 2026 Grand Challenge on Video Quality Assessment for Asymmetric Encoded Videos, comprising a full-reference (FR) model, CompressedVQA-AEV-FR, and a no-reference (NR) model,…
Video Quality AssessmentCommunity-Aware Assessment of Social Textual Engagement and Resonance: A Human-Centric Perspective on User-Generated Content Evaluation
Traditional Video Quality Assessment (VQA) focuses narrowly on aesthetic fidelity, overlooking the complex social dynamics that define quality in User-Generated Content (UGC). In this work, we propose a paradigm shift fr…
Video Quality AssessmentReinforcement LearningVersusQ: Pairwise Margin Reasoning for Generalizable Video Quality Assessment
Large Multimodal Models (LMMs) have shown promise for video quality assessment, but most methods still predict an absolute score for each video. Such pointwise supervision often mixes perceptual quality with dataset-spec…
Video Quality AssessmentDomain GeneralizationRelational ReasoningFGSVQA: Frequency-Guided Short-form Video Quality Assessment
Short-form video poses new challenges to the quality assessment of user-generated content (UGC) due to its complex generation pipeline, rapid content variation, and mixed distortions. To address this challenge, we propos…
Video Quality AssessmentGameScope: A Multi-Attribute, Multi-Codec Benchmark Dataset for Gaming Video Quality Assessment
The development of video game streaming has grown rapidly, with major platforms such as YouTube and Twitch using different codecs. To support quality assessment models that work consistently across any codec, it is neces…
Video Quality AssessmentFDIM: A Feature-distance-based Generic Video Quality Metric for Versatile Codecs
Video technology is advancing toward Ultra High Definition (UHD) and High Dynamic Range (HDR), which intensifies the need for higher compression efficiency for these high-specification videos. Beyond advances in traditio…
Video Quality AssessmentComparison Drives Preference: Reference-Aware Modeling for AI-Generated Video Quality Assessment
The rapid advancement of generative models has led to a growing volume of AI-generated videos, making the automatic quality assessment of such videos increasingly important. Existing AI-generated content video quality as…
Video Quality AssessmentDPC-VQA: Decoupling Quality Perception and Residual Calibration for Video Quality Assessment
Recent 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…
Video Quality AssessmentrPPG-VQA: A Video Quality Assessment Framework for Unsupervised rPPG Training
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 perfo…
Video Quality AssessmentPioneering Perceptual Video Fluency Assessment: A Novel Task with Benchmark Dataset and Baseline
Accurately estimating humans' subjective feedback on video fluency, e.g., motion consistency and frame continuity, is crucial for various applications like streaming and gaming. Yet, it has long been overlooked, as prior…
Video Quality AssessmentMDS-VQA: Model-Informed Data Selection for Video Quality Assessment
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 benc…
Video Quality AssessmentContrastive learning-based video quality assessment-jointed video vision transformer for video recognition
Video quality significantly affects video classification. We found this problem when we classified Mild Cognitive Impairment well from clear videos, but worse from blurred ones. From then, we realized that referring to V…
Video Quality AssessmentSelf-Supervised LearningVideo ClassificationContrastive LearningEduVQA: Towards Concept-Aware Assessment of Educational AI-Generated Videos
Existing AI-generated video quality assessment (AIGVQA) methods mainly focus on global perceptual realism and coarse text-video alignment, while overlooking a critical requirement in educational scenarios: concept correc…
Video Quality AssessmentVideo AlignmentSeeing Beyond 8bits: Subjective and Objective Quality Assessment of HDR-UGC Videos
High Dynamic Range (HDR) user-generated (UGC) videos are rapidly proliferating across social platforms, yet most perceptual video quality assessment (VQA) systems remain tailored to Standard Dynamic Range (SDR). HDR has …
Video Quality AssessmentAnalytic Score Optimization for Multi Dimension Video Quality Assessment
Video Quality Assessment (VQA) is evolving beyond single-number mean opinion score toward richer, multi-faceted evaluations of video content. In this paper, we present a large-scale multi-dimensional VQA dataset UltraVQA…
Video Quality AssessmentLearning Perceptual Representations for Gaming NR-VQA with Multi-Task FR Signals
No-reference video quality assessment (NR-VQA) for gaming videos is challenging due to limited human-rated datasets and unique content characteristics including fast motion, stylized graphics, and compression artifacts. …
Video Quality AssessmentMulti-Task Learning