Using bluetooth and GPS metadata to measure event similarity in SenseCam Images
Using bluetooth and GPS metadata to measure event similarity in SenseCam Images
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使用蓝牙和 GPS 元数据测量 SenseCam 图像中的事件相似度
DOI：
10.1142/9789812709677_0207
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
A. Smeaton
中科院分区：
文献类型：
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作者：
Daragh Byrne;Barry Lavelle;A. Doherty;Gareth J.F. Jones;A. Smeaton
微软SenseCam是一款佩戴在用户脖子上的小型多传感器摄像头。它主要是为了记录生活日志而设计的。目前，SenseCam每天被动记录多达3，000张图像以及来自多个机载传感器的日志数据。SenseCam捕获的大量图像和传感器数据在将全天记录分割为事件和搜索事件方面带来了许多挑战。在本文中，我们使用内容和上下文信息来帮助帮助自动事件分割用户的SenseCam图像。我们还提出和评估了一些新的技术，使用蓝牙和GPS上下文数据，以准确地定位和检索用户的生活日志照片集内的类似事件。
The Microsoft SenseCam is a small multi-sensor camera worn around the user's neck. It was designed primarily for lifelog recording. At present, the SenseCam passively records up to 3,000 images per day as well as logging data from several on-board sensors. The sheer volume of image and sensor data captured by the SenseCam creates a number of challenges in the areas of segmenting whole day recordings into events, and searching for events. In this paper, we use content and contextual information to help aid in automatic event segmentation of a user's SenseCam images. We also propose and evaluate a number of novel techniques using Bluetooth and GPS context data to accurately locate and retrieve similar events within a user's lifelog photoset.