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(a) q = 0.05,
I = 0.07,
(b) q = 0.28,
I = 0.59,
(c) q = 0.31,
I = 0.53,
Z = 0.18,
B = 0.13, J = 0.04.
Z = 0.26,
B = 0.28, J = 0.11.
Z = 0.22,
B = 0.24, J = 0.00.
(d) q = 0.50,
I = 0.75, Z = 0.17,
B = 0.16, J = 0.02.
(e) q = 0.42,
I = 0.72, Z = 0.26,
B = 0.20, J = 0.00.
(f) q = 0.11,
I = 0.29, Z = 0.47,
B = 0.24, J = 0.01.
Fig. 6. The quality score and normalized values of brightness ( I ), blurriness ( Z ),
blockiness ( B )andshakiness( J ) of the frames given by ' 'inFig.5
As shown in Fig. 7(b), image quality score of the random mashups seems to
be lower than the mashups generated by other methods in all three concerts.
The mean across all the three concerts shows that random scores lower than the
other two methods, which score about the same. From the ANOVA analysis, a
significant main effect was found for method ( F =7 . 833 ,p< 0 . 001) and for
concert ( F =16 . 051 ,p< 0 . 001). A Tukey test on method shows that the qual-
ity of random mashups is significantly lower than mashups generated by other
two methods. Similarly, a Tukey test on concert shows that C3 is significantly
different than other concerts.
It is expected, as seen case of C1 and C2, the random mashups are perceived
as more shaky and low in image-quality because camera stability and image
quality are not taken into account during mashup generation. However, in C3
the quality-based mashup is perceived as shaky and low quality as the random
mashups. This could be due to the low visual quality of the camera recordings
of concert C3, containing objects in fast motion (dancing) and dynamic lights,
which cause errors in the shakiness detection and brightness measurement.
The analysis of the subjective test shows that the image quality and shakiness
scores are dependent on the concerts and the methods. The scores of the random
mashups, on average across different concerts, are significantly lower than the
other two mashups, while the quality-based mashups and the manual mashups
 
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