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Content-Adaptable ROI-Aware Video Storage for Power-Quality Scalable Mobile Streaming

Authors :
Ali Haidous
William Oswald
Hritom Das
Na Gong
Source :
IEEE Access, Vol 10, Pp 26830-26848 (2022)
Publication Year :
2022
Publisher :
IEEE, 2022.

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 consume a substantial amount of mobile device power; as a result, the battery life of mobile devices is limited. In this paper, we present a video content-adaptable Region-of-Interest (ROI)-aware video storage technique that promotes power savings. 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.

Details

Language :
English
ISSN :
21693536
Volume :
10
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.bf712c7c6c1f4a87b78cf7b246a7b6a5
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2022.3156274