GazeCloud: A Thumbnail Extraction Method Using Gaze Log Data for Video Life-Log

Yoshio Ishiguro, J. Rekimoto
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引用次数: 11

Abstract

We propose a method for information extraction and presentation using recorded eye gaze data, i.e., life-log video data. We call our method Gaze Cloud, which essentially uses gaze information for the generation of thumbnail images. One of the usages of wearable computing, personal life-logs are becoming increasingly possible. However, an aspect that needs to be addressed is information retrieval through different browsing methods. It is also well known that human memory recall is aided by effective presentation of information. Our propose method Gaze Cloud calculates the importance of information from gaze data that is consequently used for the generation of thumbnail images. This method performs the calculation using the eye gaze duration and hot spot information. Additionally, we construct a prototype daily-use wearable eye tracker system.
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GazeCloud:一种基于注视日志数据的视频生命日志缩略图提取方法
我们提出了一种利用记录的眼睛注视数据(即生命日志视频数据)进行信息提取和呈现的方法。我们把我们的方法称为Gaze Cloud,它本质上使用凝视信息来生成缩略图图像。作为可穿戴式计算机的用途之一,个人生活日志正变得越来越有可能。然而,需要解决的一个方面是通过不同的浏览方法进行信息检索。众所周知,有效的信息呈现有助于人类记忆的回忆。我们提出的方法凝视云计算凝视数据信息的重要性,从而用于生成缩略图图像。该方法利用人眼注视时间和热点信息进行计算。此外,我们还构建了一个日常使用的可穿戴式眼动仪系统原型。
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