6 research outputs found
Analyzing video compression for transporting over wireless fading channels
Wireless video communication is becoming increasingly popular these days with new
applications such as TV on mobile and video phones. Commercial success of these
applications requires superior video quality at the receiver. So it is imperative to analyze
the effect of a wireless channel on a video transmission. The aim of this research is to
analyze the video transmission over Rayleigh fading channels for various bit error rates
(BER), signal to noise ratios (Eb/N0) and Doppler rates, and to suggest which source
coding scheme is best at which BER, Eb/N0 and Doppler rates. Alternative schemes
such as hybrid (digital/analog) schemes were considered and their performances were
compared with pure digital communication. It is also shown that the combination of
digital and analog video communication does not yield any better performance compared
to pure digital video communication
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Video coding with fixed-length packetization for a tandem channel
A robust scheme is presented for the efficient transmission of packet video over a tandem wireless Internet channel. This channel is assumed to have bit errors (due to noise and fading on the wireless portion of the channel) and packet erasures (due to congestion on the wired portion). First, we propose an algorithm to optimally switch between intracoding and intercoding for a video coder that operates on a packet-switched network with fixed-length packets. Different re-synchronization schemes are considered and compared. This optimal mode selection algorithm is integrated with an efficient channel encoder, a cyclic redundancy check outer coder concatenated with an inner rate-compatible punctured convolutional coder. The system performance is both analyzed and simulated. Last, the framework is extended to operate on a time-varying wireless Internet channel with feedback information from the receiver. Both instantaneous feedback and delayed feedback are evaluated, and an improved method of refined distortion estimation for encoding is presented and simulated for the case of delayed feedback