Date of Award

12-2021

Document Type

Thesis

Degree Name

M.S.

Department

Electrical and Computer Engineering

Committee Chair

Gong Na, Ph.D.

Abstract

The demand for mobile video streams is constantly increasing. With this demand comes a need for mobile devices to receive more videos at ever increasing quality. However, due to the large size of video data and intensive computational requirements, video streaming requires frequent memory access that consumes a substantial amount of mobile device power; as a result, the battery life of mobile devices is limited. In this thesis, a video content-adaptable Region-of-Interest (ROI)-aware video storage technique that promotes power savings is presented. During the video encoding process on the transmitting server, based on the macroblock variance and ROI characterization, the “macroblocks of interest” are identified and embedded in the encoded bitstream. In the decoding process, a new frame buffer with dynamic power-quality trade-off is presented to adapt to the macroblock characteristics during run-time. Results from the system-level and circuit-level simulations show that the proposed technique enables substantially more truncated bits and significant power savings while delivering similar or better video quality as compared to other state-of-the-art solutions.

Available for download on Friday, November 22, 2024

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