Name
Abstract | ||
|---|---|---|
This paper presents techniques to reduce energy with minimal degradation in system performance for multimedia signal processing algorithms. It first provides a survey of energy-saving techniques such as those based on voltage scaling, reducing number of computations and reducing dynamic range. While these techniques reduce energy, they also introduce errors that affect the performance quality. To compensate for these errors, techniques that exploit algorithm characteristics are presented. Next, several hybrid energy-saving techniques that further reduce the energy consumption with low performance degradation are presented. For instance, a combination of voltage scaling and dynamic range reduction is shown to achieve 85% energy saving in a low pass FIR filter for a fairly low noise level. A combination of computation reduction and dynamic reduction for Discrete Cosine Transform shows, on average, 33% to 46% reduction in energy consumption while incurring 0.5 dB to 1.5 dB loss in PSNR. Both of these techniques have very little overhead and achieve significant energy reduction with little quality degradation. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TMM.2013.2266094 | IEEE Transactions on Multimedia |
Keywords | Field | DocType |
FIR filters,energy conservation,multimedia systems,power aware computing,signal processing,PSNR,computation reduction,discrete cosine transform,dynamic range reduction,energy consumption reduce,energy consumption reduction,energy saving,error compensation,hybrid energy-saving techniques,low pass FIR filter,noise level,performance quality,quality degradation,quality-aware multimedia signal processing algorithm,system performance degradation,voltage scaling,Error compensation,low-power,multimedia algorithms,variable precision,voltage scaling | Signal processing,Energy conservation,Computer science,Discrete cosine transform,Electronic engineering,Real-time computing,Low-pass filter,Artificial intelligence,Finite impulse response,Very-large-scale integration,Computer vision,Dynamic range,Energy consumption | Journal |
Volume | Issue | ISSN |
15 | 7 | 1520-9210 |
Citations | PageRank | References |
5 | 0.45 | 34 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yunus Emre | 1 | 60 | 5.60 |
| Chaitali Chakrabarti | 2 | 1978 | 184.17 |