3 papers
eess.IV2025
CAMP-VQA: Caption-Embedded Multimodal Perception for No-Reference Quality Assessment of Compressed Video
Xinyi Wang, Angeliki Katsenou, Junxiao Shen +1
The prevalence of user-generated content (UGC) on platforms such as YouTube and TikTok has rendered no-reference (NR) perceptual video quality assessment (VQA) vital for optimizing…
eess.IV2025
DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality
Xinyi Wang, Angeliki Katsenou, David Bull
The rapid growth of user-generated (video) content (UGC) has driven increased demand for research on no-reference (NR) perceptual video quality assessment (VQA). NR-VQA is a key co…
eess.IV2025
ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment
Xinyi Wang, Angeliki Katsenou, David Bull
With the rapid growth of User-Generated Content (UGC) exchanged between users and sharing platforms, the need for video quality assessment in the wild is increasingly evident. UGC…