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Document type:
Konferenzbeitrag 
Contribution type:
Textbeitrag / Aufsatz 
Author(s):
Redl, Arne; Keimel, Christian; Diepold, Klaus 
Title:
Saliency based video quality prediction using multi-way data analysis 
Pages contribution:
188-193 
Abstract:
Saliency information allows us to determine which parts of an image or video frame attracts the focus of the observer and thus where distortions will be more obvious. Using this knowledge and saliency thresholds, we therefore combine the saliency information generated by a computational model and the features extracted from the H.264/AVC bitstream, and use the resulting saliency-weighted features in the design of a video quality metric with multi-way data analysis. We used two different multi-wa...    »
 
Book / Congress title:
Quality of Multimedia Experience (QoMEX), 2013 Fifth International Workshop on 
Year:
2013 
Month:
Jul 
Reviewed:
ja 
Language:
en 
Semester:
SS 13 
TUM Institution:
Lehrstuhl für Datenverarbeitung