Data di Pubblicazione:
2008
Citazione:
Bayesian Integration of Face and Low-level Cues for Foveated Video Coding / G. BOCCIGNONE, A. MARCELLI, P. NAPOLETANO, G. DI FIORE, G. IACOVONI, S. MORSA. - In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY. - ISSN 1051-8215. - 18:12(2008 Dec), pp. 4630762.1727-4630762.1740.
Abstract:
We present a Bayesian model that allows to automatically
generate fixations/foveations and that can be suitably
exploited for compression purposes. The twofold aim of this work
is to investigate how the exploitation of high-level perceptual cues
provided by human faces occurring in the video can enhance the
compression process without reducing the perceived quality of
the video and to validate such assumption with an extensive and
principled experimental protocol.
To such end, the model integrates top-down and bottom-up
cues to choose the fixation point on a video frame: at the highest
level, a fixation is driven by prior information and by relevant
objects, namely human faces, within the scene; at the same
time, local saliency together with novel and abrupt visual events
contribute by triggering lower level control. The performance
of the resulting video compression system has been evaluated
with respect to both the perceived quality of foveated video clips
and the compression gain with an extensive evaluation campaign,
which has eventually involved 200 subjects
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
Face detection; Foveated video coding; Foveation filtering; Image coding; Video quality measurement
Elenco autori:
G. BOCCIGNONE, A. MARCELLI, P. NAPOLETANO, G. DI FIORE, G. IACOVONI, S. MORSA
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