1st International ICST Workshop on Mobile Content Quality of Experience

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
Marcus Barkowsky1,*, Björn Eskofier2,*, Roland Bitto1,*, Jens Bialkowski3,*, André Kaup4,*
  • 1: OPTICOM GmbH Naegelsbachstr. 38 Erlangen, Germany
  • 2: University of Erlangen-Nuremberg Martensstr. 3 Erlangen, Germany
  • 3: University of Cauerstr. 7 Erlangen, Germany
  • 4: University of Erlangen-Nurember Cauerstr. 7 Erlangen, Germany
*Contact email: mb@opticom.de, bjoern.eskofier@informatik._uni-erlangen.de, rb@opticom.de, bialkowski@nt.e-technik.uni-erlangen.de, kaup@nt.e-technik.uni-erlangen.de

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.