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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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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.
