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 language | English |
|---|---|
| Title of host publication | UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 267-270 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781450330473 |
| DOIs | |
| Publication status | Published - 2014 |
| Externally published | Yes |
| Event | 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 - Seattle, United States Duration: 2014 Sep 13 → 2014 Sep 17 |
Other
| Other | 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 |
|---|---|
| Country | United States |
| City | Seattle |
| Period | 14/9/13 → 14/9/17 |
Fingerprint
Keywords
- Annotations
- Document image retrieval
- Google glass
- Interactive paper
- Memory
- Wearable
ASJC Scopus subject areas
- Software
Cite this
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 proceeding › Conference contribution
}
TY - GEN
T1 - Memory specs-an annotation system on google glass using document image retrieval
AU - Tanaka, Katsuma
AU - Iwata, Motoi
AU - Kunze, Kai Steven
AU - Kise, Koichi
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Annotations
KW - Document image retrieval
KW - Google glass
KW - Interactive paper
KW - Memory
KW - Wearable
UR - http://www.scopus.com/inward/record.url?scp=84908668522&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84908668522&partnerID=8YFLogxK
U2 - 10.1145/2638728.2638775
DO - 10.1145/2638728.2638775
M3 - Conference contribution
SP - 267
EP - 270
BT - UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing
PB - Association for Computing Machinery, Inc
ER -