NTIRE 2024 challenge on short-form UGC video quality assessment: Methods and results
This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality
Assessment (S-UGC VQA) where various excellent solutions are submitted and evaluated …
Assessment (S-UGC VQA) where various excellent solutions are submitted and evaluated …
Vbench: Comprehensive benchmark suite for video generative models
Video generation has witnessed significant advancements yet evaluating these models
remains a challenge. A comprehensive evaluation benchmark for video generation is …
remains a challenge. A comprehensive evaluation benchmark for video generation is …
Fast-vqa: Efficient end-to-end video quality assessment with fragment sampling
Current deep video quality assessment (VQA) methods are usually with high computational
costs when evaluating high-resolution videos. This cost hinders them from learning better …
costs when evaluating high-resolution videos. This cost hinders them from learning better …
Exploring video quality assessment on user generated contents from aesthetic and technical perspectives
The rapid increase in user-generated-content (UGC) videos calls for the development of
effective video quality assessment (VQA) algorithms. However, the objective of the UGC …
effective video quality assessment (VQA) algorithms. However, the objective of the UGC …
Q-align: Teaching lmms for visual scoring via discrete text-defined levels
The explosion of visual content available online underscores the requirement for an
accurate machine assessor to robustly evaluate scores across diverse types of visual …
accurate machine assessor to robustly evaluate scores across diverse types of visual …
Neighbourhood representative sampling for efficient end-to-end video quality assessment
The increased resolution of real-world videos presents a dilemma between efficiency and
accuracy for deep Video Quality Assessment (VQA). On the one hand, keeping the original …
accuracy for deep Video Quality Assessment (VQA). On the one hand, keeping the original …
Zoom-vqa: Patches, frames and clips integration for video quality assessment
Video quality assessment (VQA) aims to simulate the human perception of video quality,
which is influenced by factors ranging from low-level color and texture details to high-level …
which is influenced by factors ranging from low-level color and texture details to high-level …
Kvq: Kwai video quality assessment for short-form videos
Short-form UGC video platforms like Kwai and TikTok have been an emerging and
irreplaceable mainstream media form thriving on user-friendly engagement and …
irreplaceable mainstream media form thriving on user-friendly engagement and …
Ensemble multifeatured deep learning models and applications: A survey
Ensemble multifeatured deep learning methodology has emerged as a powerful approach
to overcome the limitations of single deep learning models in terms of generalization …
to overcome the limitations of single deep learning models in terms of generalization …
Exploring the effectiveness of video perceptual representation in blind video quality assessment
With the rapid growth of in-the-wild videos taken by non-specialists, blind video quality
assessment (VQA) has become a challenging and demanding problem. Although lots of …
assessment (VQA) has become a challenging and demanding problem. Although lots of …