Performance evaluation of matrix- and EXIF-based video rotation methods in MJPEG-based live video encoder

D. Škvorc, Mirela Oštrek, M. Horvat
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引用次数: 1

Abstract

Contemporary camera-equipped wearable devices, such as smartphones and tablets, are now powerful enough to be used as ubiquitous remote sources of live video streams. However, as these devices may operate in various positions, including upside down or rotated, encoding the captured video into a data format suitable for live streaming also includes the rotation of video frames to compensate the device rotation effect. In this paper, we analyze the impact of the video rotation procedures to the frame rate of the produced live video. MJPEG is used as a video encoding format. We compare the performance of two video rotation methods: classical pixel-level rotation based on rotation matrix and JPEG tagging using EXIF metadata. The results show that EXIF-based tagging outperforms matrix-based calculations significantly, and gets superior as video resolution increases. However, since EXIF metadata are not yet widely supported in modern web browsers, if compatibility with open user community is required, matrix-based rotation is the option to go with.
基于矩阵和exif的视频旋转方法在mjpeg视频编码器中的性能评价
现代配备摄像头的可穿戴设备,如智能手机和平板电脑,现在已经足够强大,可以作为无处不在的远程实时视频流来源。然而,由于这些设备可以在各种位置上运行,包括倒立或旋转,因此将捕获的视频编码为适合直播的数据格式还包括视频帧的旋转以补偿设备旋转效果。在本文中,我们分析了视频旋转程序对制作的直播视频帧率的影响。MJPEG是一种视频编码格式。我们比较了两种视频旋转方法的性能:基于旋转矩阵的经典像素级旋转和使用EXIF元数据的JPEG标记。结果表明,基于exif的标记明显优于基于矩阵的计算,并且随着视频分辨率的增加而变得更加优越。但是,由于EXIF元数据尚未在现代web浏览器中得到广泛支持,如果需要与开放用户社区兼容,则可以选择基于矩阵的旋转。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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