Japanese / English

Detail of Publication

Text Language English
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
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