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Joint source-channel distortion modeling for MPEG-4 video
M.F. Sabir, R.W. Heath and A.C. Bovik
IEEE Transactions on Image Processing
Abstract
Multimedia communication has become one of the
main applications in commercial wireless systems. Multimedia
sources, mainly consisting of digital images and videos, have high
bandwidth requirements. Since bandwidth is a valuable resource,
it is important that its use should be optimized for image and
video communication. Therefore, interest in developing new joint
source-channel coding (JSCC) methods for image and video communication
is increasing. Design of any JSCC scheme requires
an estimate of the distortion at different source coding rates and
under different channel conditions. The common approach to obtain
this estimate is via simulations or operational rate-distortion
curves. These approaches, however, are computationally intensive
and, hence, not feasible for real-time coding and transmission
applications. A more feasible approach to estimate distortion is to
develop models that predict distortion at different source coding
rates and under different channel conditions. Based on this idea,
we present a distortion model for estimating the distortion due to
quantization and channel errors in MPEG-4 compressed video
streams at different source coding rates and channel bit error
rates. This model takes into account important aspects of video
compression such as transform coding, motion compensation, and
variable length coding. Results show that our model estimates
distortion within 1.5 dB of actual simulation values in terms of
peak-signal-to-noise ratio.
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