Content-Adaptable ROI-Aware Video Storage for Power-Quality Scalable Mobile Streaming
Content-Adaptable ROI-Aware Video Storage for Power-Quality Scalable Mobile Streaming
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DOI：
10.1109/access.2022.3156274
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发表时间：
2022
期刊：
影响因子：
3.9
通讯作者：
Ali Ahmad Haidous;W. Oswald;Hritom Das;Na Gong
中科院分区：
文献类型：
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作者：
Ali Ahmad Haidous;W. Oswald;Hritom Das;Na Gong
对移动的视频流的需求不断增加。随着这种需求，需要移动的设备以不断增加的质量接收更多的视频。然而，由于视频数据的大尺寸和密集的计算要求，视频流需要消耗大量移动终端功率的频繁存储器访问;结果，移动的设备的电池寿命是有限的。在本文中，我们提出了一个视频内容自适应的区域感兴趣（ROI）的感知视频存储技术，促进节能。在传输服务器上的视频编码过程期间，基于宏块方差和ROI表征，识别“感兴趣的宏块”并将其嵌入编码比特流中。在解码过程中，提出了一种新的具有动态功率质量折衷的帧缓冲器，以适应运行时宏块的特性。从系统级和电路级仿真的结果表明，所提出的技术能够大大更多的截断位和显着的功率节省，同时提供类似或更好的视频质量相比，其他国家的最先进的解决方案。
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.