Recent technological advances have enabled the development of compact and portable cameras for the generation of large volumes of video content. Several applications have benefited from such significant growth of multimedia data, such as telemedicine, surveillance and security, entertainment, teaching, and robotics. However, videos captured by amateurs are subject to unwanted motion or vibration while handling the camera. Video stabilization techniques aim to detect and remove glitches or instabilities caused during the acquisition process to enhance visual quality. In this work, we introduce and analyze a novel representation based on visual rhythms for qualitative evaluation of video stabilization methods. Experiments conducted on different video sequences are performed to demonstrate the effectiveness of the visual representation as qualitative measure for evaluating video stability. In addition, we present a proposal to calculate an objective metric extracted from the visual rhythms.

中文翻译：

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视觉节奏，用于视频稳定度的定性评估

近来的技术进步使得能够开发用于产生大量视频内容的紧凑型和便携式相机。多媒体数据的显着增长受益于多种应用，例如远程医疗，监视和安全，娱乐，教学和机器人技术。但是，业余爱好者拍摄的视频在处理相机时会受到不必要的运动或振动的影响。视频稳定技术旨在检测并消除在采集过程中引起的毛刺或不稳定性，以增强视觉质量。在这项工作中，我们介绍并分析了一种基于视觉节奏的新颖表示形式，以对视频稳定方法进行定性评估。进行了对不同视频序列的实验，以证明视觉表示作为评估视频稳定性的定性手段的有效性。此外，我们提出了一项提案，以计算从视觉节奏中提取的客观指标。