In recent years digital imaging devices become an integral part of our daily lives due to the advancements in imaging, storage
and wireless communication technologies. Power-Rate-Distortion efficiency is the key factor common to all resource
constrained portable devices. In addition, especially in real-time wireless multimedia applications, channel adaptive and
error resilient source coding techniques should be considered in conjunction with the P-R-D efficiency, since most of the
time Automatic Repeat-reQuest (ARQ) and Forward Error Correction (FEC) are either not feasible or costly in terms of
bandwidth efficiency delay. In this work, we focus on the scenarios of real-time video communication for resource constrained
devices over bandwidth limited and lossy channels, and propose an analytic Power-channel Error-Rate-Distortion
(P-E-R-D) model. In particular, probabilities of macroblocks coding modes are intelligently controlled through an optimization
process according to their distinct rate-distortion-complexity performance for a given channel error rate. The
framework provides theoretical guidelines for the joint analysis of error resilient source coding and resource allocation.
Experimental results show that our optimal framework provides consistent rate-distortion performance gain under different
power constraints.
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