@inproceedings{ec0ac902005549c280cf7f3a2f9703cf,
title = "No-Reference video quality assessment of H.264 video streams based on semantic saliency maps",
abstract = "The paper contributes to No-Reference video quality assessment of broadcasted HD video over IP networks and DVB. In this work we have enhanced our bottom-up spatio-temporal saliency map model by considering semantics of the visual scene. Thus we propose a new saliency map model based on face detection that we called semantic saliency map. A new fusion method has been proposed to merge the bottom-up saliency maps with the semantic saliency map. We show that our NR metric WMBER weighted by the spatio-temporal-semantic saliency map provides higher results then the WMBER weighted by the bottom-up spatio-temporal saliency map. Tests are performed on two H.264/AVC video databases for video quality assessment over lossy networks.",
author = "H. Boujut and J. Benois-Pineau and T. Ahmed and O. Hadar and P. Bonnet",
year = "2012",
month = feb,
day = "13",
doi = "10.1117/12.905379",
language = "American English",
isbn = "9780819489401",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Proceedings of SPIE-IS and T Electronic Imaging - Image Quality and System Performance IX",
note = "Image Quality and System Performance IX ; Conference date: 24-01-2012 Through 26-01-2012",
}