9 papers
FGSVQA: Frequency-Guided Short-form Video Quality Assessment
Xinyi Wang, Angeliki Katsenou, Junxiao Shen +1
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 distortio…
Multi-Objective Pareto-Front Optimization for Efficient Adaptive VVC Streaming
Angeliki Katsenou, Vignesh V. Menon, Guoda Laurinaviciute +2
Adaptive video streaming has facilitated improved video streaming over the past years. A balance among coding performance objectives such as bitrate, video quality, and decoding co…
Guiding WaveMamba with Frequency Maps for Image Debanding
Xinyi Wang, Smaranda Tasmoc, Nantheera Anantrasirichai +1
Compression at low bitrates in modern codecs often introduces banding artifacts, especially in smooth regions such as skies. These artifacts degrade visual quality and are common i…
Content Adaptive Encoding For Interactive Game Streaming
Shakarim Soltanayev, Odysseas Zisimopoulos, Mohammad Ashraful Anam +3
Video-on-demand streaming has benefitted from \textit{content-adaptive encoding} (CAE), i.e., adaptation of resolution and/or quantization parameters for each scene based on convex…
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…
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…