文献の詳細

論文の言語	英語
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
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.
DOI	10.1145/2638728.2638775

• BibTeX用エントリー

  @InProceedings{Tanaka2014,
    author =	{Katsuma Tanaka and Kai Kunze and Motoi Iwata and Koichi Kise},
    title =	{Memory Specs --- An Annotation System on Google Glass using Document Image Retrieval},
    booktitle =	{Proceedings of the 2014 ACM Conference on pervasive and ubiquitous computing adjunct publication (UbiComp2014)},
    year =	2014,
    month =	sep,
    pages =	{267--270},
    DOI =		{10.1145/2638728.2638775},
    location =	{Seattle, USA}
  }
  
  
  

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