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.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.