Memory Specs — An Annotation System on Google Glass using Document Image Retrieval

言語英語
種類国際会議等の予稿
著者Katsuma Tanaka,Kai Kunze,Motoi Iwata,Koichi Kise
論文名Memory Specs — An Annotation System on Google Glass using Document Image Retrieval
論文誌名Proceedings of the 2014 ACM Conference on pervasive and ubiquitous computing adjunct publication (UbiComp2014)
ページpp.267-270
発表場所Seattle, USA
査読の有無有
発表の種類ポスター発表
年月2014年9月
分野文書画像解析
DOI10.1145/2638728.2638775
キーTanaka2014_UbiComp (id=1424)

要約

We present a system working on a wearable computer that can annotate and retrieve annotations for signs, posters, public displays etc. The only limitation of the system: the annotated objects need to contain at least 3-5 lines of text with fixed layout. We evaluate our system in a poster session scenario with 5 use cases: retrieving annotations, adding notes, taking pictures and recording audio and attaching them to posters. As a ubiquitous note taking and annotation application, we believe the system can bridge online and offline discussions and give the user a way to reflect on seen information by providing them a web interface to all the annotations they took together with the source material (in our case poster and paper publications), helping to organize their thoughts and improving their recall.

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