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Reducing memory requirements in a multimedia streaming application

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3 Author(s)
Holenderski, M. ; Dept. of Math. & Comput. Sci., Eindhoven Univ. of Technol., Eindhoven, Netherlands ; Bril, R.J. ; Lukkien, J.J.

This paper investigates memory management for real-time multimedia applications running on resource-constrained electronic devices. The target applications are comprised of a data-driven task chain with a time-driven head and tail and a bounded end-to-end latency. The necessary buffer capacities along the task chain are derived. Subsequently it is shown how a shared memory pool can reduce the total memory requirements of the whole application. The impact of a shared memory pool is also evaluated in the context of scalable applications. The general technique targeted at memory-constrained streaming systems is demonstrated with a video encoding example, showing memory savings of about 19%.

Published in:

Consumer Electronics, IEEE Transactions on  (Volume:57 ,  Issue: 1 )