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 |
| DOI | 10.1145/2638728.2638775 |
| 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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