Memory specs-an annotation system on google glass using document image retrieval

Katsuma Tanaka, Motoi Iwata, Kai Steven Kunze, Koichi Kise

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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 reect 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.

Original languageEnglish
Title of host publicationUbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing
PublisherAssociation for Computing Machinery, Inc
Pages267-270
Number of pages4
ISBN (Electronic)9781450330473
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 - Seattle, United States
Duration: 2014 Sep 132014 Sep 17

Other

Other2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014
CountryUnited States
CitySeattle
Period14/9/1314/9/17

Fingerprint

Wearable computers
Audio recordings
Image retrieval
Display devices
Data storage equipment
Glass

Keywords

  • Annotations
  • Document image retrieval
  • Google glass
  • Interactive paper
  • Memory
  • Wearable

ASJC Scopus subject areas

  • Software

Cite this

Tanaka, K., Iwata, M., Kunze, K. S., & Kise, K. (2014). Memory specs-an annotation system on google glass using document image retrieval. In UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 267-270). Association for Computing Machinery, Inc. https://doi.org/10.1145/2638728.2638775

Memory specs-an annotation system on google glass using document image retrieval. / Tanaka, Katsuma; Iwata, Motoi; Kunze, Kai Steven; Kise, Koichi.

UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, 2014. p. 267-270.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tanaka, K, Iwata, M, Kunze, KS & Kise, K 2014, Memory specs-an annotation system on google glass using document image retrieval. in UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, pp. 267-270, 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014, Seattle, United States, 14/9/13. https://doi.org/10.1145/2638728.2638775
Tanaka K, Iwata M, Kunze KS, Kise K. Memory specs-an annotation system on google glass using document image retrieval. In UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc. 2014. p. 267-270 https://doi.org/10.1145/2638728.2638775
Tanaka, Katsuma ; Iwata, Motoi ; Kunze, Kai Steven ; Kise, Koichi. / Memory specs-an annotation system on google glass using document image retrieval. UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, 2014. pp. 267-270
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