TY - GEN
T1 - No-Reference video quality assessment of H.264 video streams based on semantic saliency maps
AU - Boujut, H.
AU - Benois-Pineau, J.
AU - Ahmed, T.
AU - Hadar, O.
AU - Bonnet, P.
PY - 2012/2/13
Y1 - 2012/2/13
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84856702435&partnerID=8YFLogxK
U2 - https://doi.org/10.1117/12.905379
DO - https://doi.org/10.1117/12.905379
M3 - Conference contribution
SN - 9780819489401
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Proceedings of SPIE-IS and T Electronic Imaging - Image Quality and System Performance IX
T2 - Image Quality and System Performance IX
Y2 - 24 January 2012 through 26 January 2012
ER -