Iterative Channel Decoding Using Spatial and Temporal Intrinsic Information for Video Source
Date Issued
2012
Date
2012
Author(s)
Lin, Wei-Ting
Abstract
Intra-coded frames are frequently used to prevent error propagation, and moreover, in
the distributed video coding system, the intra-coded frames is used to predict the adjacent
frames. However, the bit-rate of the intra-coded frames is much more than that of the intercoded
frames, which results in power waste. We find that the high correlation between
the coded bitstreams of intra-coded frames can be used for channel decoding to reduce
the transmission power. However the correlation is difficult to be exploited since the
pixel values are encoded as logical bits. Therefore, the source encoder is modified for
the channel decoder to utilize the identical data between the intra-coded frames. This
concept can be extended to the uncompressed video transmissions, mainly due to the
emergence of the 57-66 GHz mmWave systems. To transmit the uncompressed video
power efficiently, we propose a channel decoder that utilizes both temporal and spatial
redundancy among the video frames. The temporal redundancy between the frames is
exploited via a correlation noise model, and the spatial redundancy inside each frame is
exploited with the aid of Markov random field (MRF) model. By combining the above
models and an error control code, the proposed system is more error robust. The recording
devices of the proposed system is less complex than the system transmitting intra-coded
frames while the PSNR performance is maintained under the same transmission power
per frame comparing to the transmission of intra-coded frames. That is, the system can
operate in an extremely low SNR condition which is common in mmWave frequency
bands due to the signals suffer greater propagation loss. Besides, the low-cost and low
power characteristics make it a perfect match for surveillance systems and the applications
transmitting serially shoot images.
Subjects
iterative decoding
MRF model
DVC
Type
thesis
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