Incorporating semantic knowledge for visual lifelog activity recognition

Min Huan Fu, An Zi Yen, Hen Hsen Huang, Hsin Hsi Chen

研究成果: Conference contribution同行評審

4 引文 斯高帕斯(Scopus)

摘要

The advance in wearable technology has made lifelogging more feasible and more popular. Visual lifelogs collected by wearable cameras capture every single detail of individual's life experience, offering a promising data source for deeper lifestyle analysis and better memory recall assistance. However, building a system for organizing and accessing visual lifelogs is a challenging task due to the semantic gap between visual data and semantic descriptions of life events. In this paper, we introduce semantic knowledge to reduce such a semantic gap for daily activity recognition and lifestyle understanding. We incorporate the semantic knowledge derived from external resources to enrich the training data for the proposed supervised learning model. Experimental results show that incorporating external semantic knowledge is beneficial for improving the performance of recognizing life events.

原文English
主出版物標題ICMR 2020 - Proceedings of the 2020 International Conference on Multimedia Retrieval
發行者Association for Computing Machinery, Inc
頁面450-456
頁數7
ISBN(電子)9781450370875
DOIs
出版狀態Published - 8 6月 2020
事件10th ACM International Conference on Multimedia Retrieval, ICMR 2020 - Dublin, Ireland
持續時間: 8 6月 202011 6月 2020

出版系列

名字ICMR 2020 - Proceedings of the 2020 International Conference on Multimedia Retrieval

Conference

Conference10th ACM International Conference on Multimedia Retrieval, ICMR 2020
國家/地區Ireland
城市Dublin
期間8/06/2011/06/20

指紋

深入研究「Incorporating semantic knowledge for visual lifelog activity recognition」主題。共同形成了獨特的指紋。

引用此