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

被引:2
作者
Haidous, Ali [1 ]
Oswald, William [2 ]
Das, Hritom [2 ]
Gong, Na [2 ]
机构
[1] North Dakota State Univ, Dept Elect & Comp Engn, Fargo, ND 58102 USA
[2] Univ S Alabama, Dept Elect & Comp Engn, Mobile, AL 36688 USA
基金
美国国家科学基金会;
关键词
Streaming media; Mobile handsets; Memory management; Video recording; Quality assessment; Decoding; Power quality; Content; memory; region of interest; power consumption; video quality; USER ATTENTION MODEL; REGION;
D O I
10.1109/ACCESS.2022.3156274
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:26830 / 26848
页数:19
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