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Bit allocation for joint source/channel coding of scalable video.

G Cheung¹, A Zakhor

¹Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720, USA.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|February 8, 2008

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This study introduces an efficient bit allocation algorithm for joint source/channel video coding over noisy channels. It minimizes expected distortion by optimally distributing bits, enhancing video quality and codec performance.

Area of Science:

Video compression
Digital signal processing
Information theory

Background:

Noisy channels significantly degrade video quality in joint source/channel coding.
Efficient bit allocation is crucial for optimizing performance under these conditions.

Purpose of the Study:

To develop an efficient bit allocation algorithm for joint source/channel video coding over noisy channels.
To minimize expected distortion by optimally distributing source and channel coding bits.

Main Methods:

The proposed algorithm distributes bits among subbands to minimize expected distortion.
Distortion curves are constructed to bound performance degradation from channel estimation errors.

Main Results:

Related Experiment Videos

The algorithm provides an efficient method for bit allocation in video codecs.

It ensures minimized distortion even with imperfect channel estimation.

Conclusions:

The developed algorithm effectively minimizes distortion in joint source/channel video coding.
This approach is adaptable to other distortion minimization problems with constraints like power or complexity.