Multimodal video quality assessment for talking face analysis

Naty Ould-Sidaty 1 Mohamed-Chaker Larabi 1 Abdelhakim Saadane 1
1 XLIM-SIC - SIC
Université de Poitiers, XLIM - XLIM
Abstract : While objective and subjective quality assessment of images and video have been an active research topic in the recent years, multimedia technologies require new quality metrics and methodologies taking into account the fundamental differences in the human visual perception and the typical distortions of both video and audio modalities. Because of the importance of faces and especially the talking faces in the video sequences, this paper presents an audiovisual database that contains a different talking scenario. In addition to the video, the database also provides subjective quality scores obtained using a tailored single-stimulus test method (ACR). The resulting mean opinion scores (MOS) can be used to evaluate the performance of audiovisual quality metrics as well as for the comparison and for the design of new models.
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Communication dans un congrès
Proc. SPIE 9016, Image Quality and System Performance XI, Feb 2014, San Francisco, CA, United States. 9016, pp.1-9, 2014, 〈10.1117/12.2042482〉
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https://hal.archives-ouvertes.fr/hal-01159147
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Soumis le : mardi 2 juin 2015 - 16:30:37
Dernière modification le : mercredi 20 janvier 2016 - 17:54:20

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Naty Ould-Sidaty, Mohamed-Chaker Larabi, Abdelhakim Saadane. Multimodal video quality assessment for talking face analysis. Proc. SPIE 9016, Image Quality and System Performance XI, Feb 2014, San Francisco, CA, United States. 9016, pp.1-9, 2014, 〈10.1117/12.2042482〉. 〈hal-01159147〉

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