Summarization of Egocentric Moving Videos for Generating Walking Route Guidance
Summarization of Egocentric Moving Videos for Generating Walking Route Guidance
复制标题
用于生成步行路线引导的以自我为中心的移动视频的总结
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Keiji Yanai
中科院分区：
文献类型：
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作者：
Masaya Okamoto;Keiji Yanai
本文提出了一种总结以自我为中心的运动视频(由移动可穿戴式摄像机拍摄的视频)的方法，以生成步行路线诱导视频。为了总结一段以自我为中心的视频，我们通过人行横道检测和自我运动分类对其进行分析，并估计给定视频每一部分的重要性分数。基于估计的重要性分数，动态控制视频播放速度，而不是预先生成摘要视频文件。在实验中，我们准备了一个以自我为中心的运动视频数据集，总共包括一个多小时的视频，并对人行横道检测和自我运动分类方法进行了评估。通过用户研究对整个系统进行了评估，证明该方法比没有视频分析的简单基线摘要方法要好得多。
In this paper, we propose a method to summarize an egocentric moving video (a video recorded by a moving wearable camera) for generating a walking route guidance video. To summarize an egocentric video, we analyze it by applying pedestrian crosswalk detection as well as ego-motion classification, and estimate an importance score of each section of the given video. Based on the estimated importance scores, we dynamically control video playing speed instead of generating a summarized video file in advance. In the experiments, we prepared an egocentric moving video dataset including more than one-hour-long videos totally, and evaluated crosswalk detection and ego-motion classification methods. Evaluation of the whole system by user study has been proved that the proposed method is much better than a simple baseline summarization method without video analysis.
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DOI：
10.1007/978-1-4939-7647-8_1
发表时间：
2018
期刊：
Neuromethods
影响因子：
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作者：
Joshi,AnandA
通讯作者：
Joshi,AnandA