移动视频解码分辨率的上下文感知自适应
Context-aware adaptation of mobile video decoding resolution
摘要：
虽然移动计算的发展正在经历相当大的增长，但它同时受到电池技术的限制的严重威胁，电池技术的限制跟不上移动应用的能量需求的不断增长。一种降低移动应用程序能源需求的新方法来自近似计算领域，该领域提出了以受控方式牺牲计算精度以实现更高节能的技术。基于这一理念，我们提出了一个上下文感知的移动视频质量适应，减少了视频播放所需的能量，同时确保用户的质量期望相对于移动视频得到满足。我们确认，解码分辨率可以发挥重要的作用，在降低整体功耗的移动终端和进行两个用户研究，以调查如何在其中播放视频的上下文，其内容，和用户的个性，调制用户的质量期望。我们发现，用户的身体活动，视频的空间/时间属性，和用户的个性特征相互作用，并共同影响最小可接受的播放分辨率，为上下文自适应近似移动计算铺平了道路。
英文摘要：
While the evolution of mobile computing is experiencing a considerable growth, it is at the same time seriously threatened by the limitations of the battery technology, which does not keep pace with the evergrowing increase in energy requirements of mobile applications. A novel approach for reducing the energy appetite of mobile apps comes from the approximate computing field, which proposes techniques that in a controlled manner sacrifice computation accuracy for higher energy savings. Building on this philosophy we propose a context-aware mobile video quality adaptation that reduces the energy needed for video playback, while ensuring that a user's quality expectations with respect to the mobile video are met. We confirm that the decoding resolution can play a significant role in reducing the overall power consumption of a mobile device and conduct two user studies to investigate how the context in which a video is played, its content, and the user's personality, modulate a user's quality expectations. We discover that a user's physical activity, the spatial/temporal properties of the video, and the user's personality traits interact and jointly influence the minimal acceptable playback resolution, paving the way for context-adaptable approximate mobile computing.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
