Research Article
Perceptually motivated spatial and temporal integration of pixel based video quality measures
@INPROCEEDINGS{10.1145/1577504.1577508, author={Marcus Barkowsky and Bj\o{}rn Eskofier and Roland Bitto and Jens Bialkowski and Andr\^{e} Kaup}, title={Perceptually motivated spatial and temporal integration of pixel based video quality measures}, proceedings={1st International ICST Workshop on Mobile Content Quality of Experience}, publisher={ACM}, proceedings_a={MOBCONQOE}, year={2007}, month={8}, keywords={Video Quality Measurement Human Visual System}, doi={10.1145/1577504.1577508} }- Marcus Barkowsky
Björn Eskofier
Roland Bitto
Jens Bialkowski
André Kaup
Year: 2007
Perceptually motivated spatial and temporal integration of pixel based video quality measures
MOBCONQOE
ACM
DOI: 10.1145/1577504.1577508
Abstract
In the evaluation of video quality often a full reference approach is used, thus calculating some measure of difference between the reference frames and the distorted frames. Often this measure returns one value per pixel, in the simplest case the squared difference. Conventionally, this pixel based measure is averaged over space and time. This paper introduces a psychophysically derived algorithm for this step. It uses the distribution of the cells in the fovea and the assumption that in a subjective test the part with the highest distortion is most important. Additionally, a temporal integration step is proposed which models the recency and forgiveness effect. Different video quality measures are enhanced with these two steps and their performance is evaluated using the results of a subjective test.
