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Reducing Memory Requirements in a Multimedia Streaming Application
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DOI：10.1109/TCE.2011.5735495.png)
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Abstract
En 中文
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%.(1)
Keywords:
memory management
multimedia systems
streaming applications
reducing memory requirements
buffer capacities
variable execution time
Journal
IF:
10.9
Papers:
5.1K
Citations:
6.8K