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Angeliki Katsenou
Angeliki Katsenou
Senior Lecturer, University of Bristol, Bristol Vision Institute
Dirección de correo verificada de bristol.ac.uk - Página principal
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Content-gnostic Bitrate Ladder Prediction for Adaptive Video Streaming
AV Katsenou, J Sole, DR Bull
Picture Coding Symposium 2019, 2019
442019
BVI-CC: A Dataset for Research on Video Compression and Quality Assessment
A Katsenou, F Zhang, M Afonso, G Dimitrov, DR Bull
Frontiers in Signal Processing, 22, 2022
42*2022
Efficient Bitrate Ladder Construction for Content-Optimized Adaptive Video Streaming
AV Katsenou, J Sole, DR Bull
IEEE Open Journal of Signal Processing, 2021
402021
Low Complexity Video Coding Based on Spatial Resolution Adaptation
M Afonso, F Zhang, AV Katsenou, D Agrafiotis, DR Bull
IEEE International Conference in Image Processing, 2017
392017
A Subjective Comparison of AV1 and HEVC for Adaptive Video Streaming
A Katsenou, A Zhang, M Afonso, D Bull
IEEE International Conference on Image Processing, 2019
352019
VMAF-based Bitrate Ladder Estimation for Adaptive Streaming
AV Katsenou, F Zhang, K Swanson, M Afonso, J Sole, DR Bull
Picture Coding Symposium, 2021
322021
Feature Selection is Critical for 2-Year Prognosis in Advanced Stage High Grade Serous Ovarian Cancer by Using Machine Learning
et al. Laios, Alexandros, Angeliki Katsenou, Yong Sheng Tan, Racheal Johnson ...
Cancer Control 28 (January), 2021
302021
Energy-Rate-Quality Tradeoffs of State-of-the-Art Video Codecs
A Katsenou, J Mao, I Mavromatis
2022 Picture Coding Symposium (PCS), 265-269, 2022
232022
Predicting video rate-distortion curves using textural features
AV Katsenou, M Afonso, D Agrafiotis, DR Bull
2016 Picture Coding Symposium (PCS), 1-5, 2016
202016
Perceptually-Aligned Frame Rate Selection Using Spatio-Temporal Features
AV Katsenou, D Ma, DR Bull
2018 Picture Coding Symposium (PCS), 288-292, 2018
172018
BVI-SynTex: A Synthetic Video Texture Dataset for Video Compression and Quality Assessment
A Katsenou, G Dimitrov, D Ma, DR and Bull
IEEE Transactions on Multimedia, 2020
142020
Video texture analysis based on hevc encoding statistics
M Afonso, A Katsenou, F Zhang, D Agrafiotis, D Bull
2016 Picture Coding Symposium (PCS), 1-5, 2016
142016
Motion–related resource allocation in dynamic wireless visual sensor network environments
AV Katsenou, LP Kondi, KE Parsopoulos
IEEE Transactions on Image Processing 23 (1), 56-68, 2014
142014
Resource management for wireless visual sensor networks based on individual video characteristics
AV Katsenou, LP Kondi, KE Parsopoulos
2011 18th IEEE International Conference on Image Processing, 149-152, 2011
122011
Enhancing VMAF through New Feature Integration and Model Combination
F Zhang, A Katsenou, C Bampis, L Krasula, Z Li, D Bull
2021 Picture Coding Symposium (PCS), 1-5, 2021
112021
Understanding Video Texture - A Basis for Video Compression
AV Katsenou, T Ntasios, M Afonso, D Agrafiotis, DR Bull
IEEE 19th International Workshop on Multimedia Signal Processing, 2017
92017
Priority-based cross-layer optimization for multihop DS-CDMA visual sensor networks
EG Datsika, AV Katsenou, LP Kondi, E Papapetrou, KE Parsopoulos
2012 19th IEEE International Conference on Image Processing, 1101-1104, 2012
82012
Study of Compression Statistics and Prediction of Rate-Distortion Curves for Video Texture
AV Katsenou, M Afonso, DR Bull
Signal Processing: Image Communication, 2021
72021
Joint Quality Enhancement and Power Control for Wireless Visual Sensor Networks based on the Nash Bargaining Solution
EG Datsika, AV Katsenou, LP Kondi, E Papapetrou, KE Parsopoulos
Digital Signal Processing 50, 203-217, 2016
72016
Power–Aware QoS Enhancement in Multihop DS–CDMA Visual Sensor Networks
AV Katsenou, EG Datsika, LP Kondi, E Papapetrou, KE Parsopoulos
7*
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Artículos 1–20