Detail of Publication
Text Language | English |
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Authors | Katsuma Tanaka, Kai Kunze, Motoi Iwata, Koichi Kise |
Title | Memory Specs — An Annotation System on Google Glass using Document Image Retrieval |
Journal | Proceedings of the 2014 ACM Conference on pervasive and ubiquitous computing adjunct publication (UbiComp2014) |
Pages | pp.267-270 |
Location | Seattle, USA |
Reviewed or not | Reviewed |
Presentation type | Poster |
Month & Year | September 2014 |
Abstract | 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 |
- Entry for BibTeX
@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} }