A perceived quality-aware cross layer monitoring framework for real-time media content adaptation
GIIS'09 Proceedings of the Second international conference on Global Information Infrastructure Symposium
Compression quality prediction model for JPEG2000
IEEE Transactions on Image Processing
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special section of best papers of ACM multimedia 2011, and special section on 3D mobile multimedia
SSIM-Based end-to-end distortion modeling for H.264 video coding
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
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This paper presents a novel theoretical framework for end-to-end video quality prediction of MPEG-based video sequences. The proposed framework encloses two discrete models: i) A model for predicting the video quality of an encoded signal at a pre-encoding stage and ii) A model for mapping QoSsensitive network parameters (i.e. packet loss) to video quality degradation. The efficiency of both the discrete models is experimentally validated, proving by this way the accuracy of the proposed framework.