Title :
Length-independent refinement of video quality metrics based on multiway data analysis
Author :
Horch, Clemens ; Keimel, Christian ; Habigt, Julian ; Diepold, Klaus
Author_Institution :
Inst. for Data Process., Tech. Univ. Munchen, Munich, Germany
Abstract :
In previous publications it has been shown that no-reference video quality metrics based on a data analysis approach rather than on modeling the human visual system lead to very promising results and outperform many well-known full-reference metrics. Furthermore, the results improve when taking the temporal structure of the video sequence into account by using multiway analysis methods. This contribution shows a way of refining these multiway quality metrics in order to make them more suitable for real-life applications and maintaining the performance at the same time. Additionally, our results confirm the validity of H.264/AVC bitstream no-reference quality metrics using multiway PLSR by evaluating this concept on an additional dataset.
Keywords :
data compression; feature extraction; image sequences; video codecs; video coding; H.264/AVC bitstream no-reference video quality metrics; human visual system; length-independent refinement; multiway PLSR; multiway data analysis approach; temporal structure improvement; video sequence; Feature extraction; Measurement; Quality assessment; Training; Video coding; Video recording; Video sequences; Video quality metric; multiway PLSR; multiway data analysis; no-reference metric; trilinear PLS;
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
DOI :
10.1109/ICIP.2013.6738010