Capturing Variation in Time in Video using Fisher kernel

1. 1. Fisher Kernel Theory
Time Matters!
Capturing Variation in Time in Video using Fisher
Kernels
Ionuț Mironică, Jasper Uijlings, Bogdan Ionescu, Negar Rostamzadeh, Nicu Sebe 1 1,2 2
2 2
LAPI – University „POLITEHNICA” Bucharest, 061071, Romania
2
MHUG DISI – University of Trento, Italy
1
combines the benefits of generative and discriminative approaches
represents a signal as the gradient of the probability density
function that is a learned generative model of that signal
Variation in distance
to clusters center
Variation in distance
to cluster centre
Temporal order is lost
but
subtle variations in time
within a cluster
drastic variations in time
by different clusters
2. Fisher Kernel Framework
3. Experimental Results
MediaEval 2012 dataset- Genre Retrieval ADL dataset - Daily Activities UCF dataset – Sport Recognition
Conclusion: State-of-the-art results or better using cheaper features!