Ioannis Katsavounidis — accepted AI-conference papers

2024

Encoding Time and Energy Model for SVT-AV1 Based on Video Complexity

Lena Eichermüller, Gaurang Chaudhari, Ioannis Katsavounidis, Zhijun Lei, Hassene Tmar, Christian Herglotz +1

ICASSP 2024accepted

The share of online video traffic in global carbon dioxide emissions is growing steadily. To comply with the demand for video media, dedicated compression techniques are continuously optimized, but at the expense of increasingly higher computational demands and thus rising energy consumption at the…

Cited by 0 Source ↗Scholar ↗

2023

Estimating Uncertainty On Video Quality Metrics

Pierre David, Patrick Le Callet, Suiyi Ling, Haixiong Wang, Ioannis Katsavounidis, Zafar Shahid +1

ICASSP 2023accepted

Video Quality Metrics (VQM) are models used to predict the score that a user would give to the quality of a video visualization. They are widely used in video processing systems, for monitoring end-to-end quality or system troubleshooting for example. In these scenarios, the improvement is quantifie…

Cited by 0 Source ↗Scholar ↗

2018

Prediction of Satisfied User Ratio for Compressed Video

Haiqiang Wang, Ioannis Katsavounidis, Qin Huang, Xin Zhou, C.-C. Jay Kuo

ICASSP 2018accepted

A large-scale video quality dataset called the VideoSet has been constructed recently to measure human subjective experience of H.264 coded video in terms of the just-noticeable-difference (JND). It measures the first three JND points of 5-second video of resolution 1080p, 720p, 540p and 360p. Based…

Cited by 0 Source ↗Scholar ↗