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Communication Dans Un Congrès Année : 2012

No-Reference Video quality assessment of H.264 video streams based on semantic saliency maps

Résumé

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.
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Dates et versions

hal-00663006 , version 1 (25-01-2012)

Identifiants

  • HAL Id : hal-00663006 , version 1

Citer

Hugo Boujut, Jenny Benois-Pineau, Toufik Ahmed, Ofer Hadar, Patrick Bonnet. No-Reference Video quality assessment of H.264 video streams based on semantic saliency maps. IS&T / SPIE Electronic Imaging, Jan 2012, San Francisco, United States. pp.8293-28. ⟨hal-00663006⟩

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