@inproceedings{7b1901bebc044b75a24e20ed4e68fd1f,
title = "Lifelogging: Archival and retrieval of continuously recorded audio using wearable devices",
abstract = "We propose a complete system for lifelogging where audio is continuously recorded using a smartphone or a wearable recorder. Recorded audio includes speech, music and environmental sounds. First, we describe a feature-based segmentation algorithm for breaking down a long piece of audio into smaller clips. In order to archive clips into a large database, we present methods for automatically indexing and annotating audio with relevant acoustic and semantic tags. Retrieval is performed using a Query-By-Example based approach. To support our claims, the results are demonstrated via a smart-phone application on the popular Android platform. Finally, we also propose a novel virtualization-based design framework to rapidly develop and test such systems for signal processing.",
keywords = "Android, lifelogging, retrieval, tagging",
author = "Mohit Shah and Brian Mears and Chaitali Chakrabarti and Andreas Spanias",
year = "2012",
month = mar,
day = "15",
doi = "10.1109/ESPA.2012.6152455",
language = "English (US)",
isbn = "9781467308984",
series = "2012 IEEE International Conference on Emerging Signal Processing Applications, ESPA 2012 - Proceedings",
pages = "99--102",
booktitle = "2012 IEEE International Conference on Emerging Signal Processing Applications, ESPA 2012 - Proceedings",
note = "2012 IEEE International Conference on Emerging Signal Processing Applications, ESPA 2012 ; Conference date: 12-01-2011 Through 14-01-2011",
}