Title:  Content-adaptive Cross-layer Optimized Video Processing using Real-time Feature Feedback

Committee:

Dr. Abhijit Chatterjee, ECE, Chair , Advisor

Dr. Justin Romberg, ECE

Dr. Arijit Raychowdhury, ECE

Dr. Ghassan AlRegib, ECE

Dr. James Hays, CoC

Abstract:

The objective of this research is to design low-power video processing methods capable of minimizing system power consumption while preserving processed signal quality. Methods for post-processing signal analysis are proposed for determining the presence and quality of features essential to the high-level application goals. Two applications, video encoding and object tracking, are selected for study based on their high demand on mobile platforms. Methods for scaling the complexity of the entire system are proposed by simultaneously scaling down the input signal and algorithm to focus computational effort on information salient to the application. Cross-layer control systems are proposed for determining content-specific optimal complexity scaling and dynamic voltage and frequency scaling (DVFS). The control systems provide DVFS control information for accurate prediction of imminent throughput requirements, allowing for minimal power consumption while narrowly achieving the high-level application goals.