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

Katsuma Tanaka; Motoi Iwata; Kai Kunze; Koichi Kise

doi:10.1145/2638728.2638775

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

Katsuma Tanaka, Motoi Iwata, Kai Kunze, Koichi Kise

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 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	https://doi.org/10.1145/2638728.2638775
Publication status	Published - 2014 Jan 1
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

Publication series

Name	UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

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

Keywords

Annotations
Document image retrieval
Google glass
Interactive paper
Memory
Wearable

ASJC Scopus subject areas

Software

Access to Document

10.1145/2638728.2638775

Fingerprint Dive into the research topics of 'Memory specs-an annotation system on google glass using document image retrieval'. Together they form a unique fingerprint.

Cite this

Tanaka, K., Iwata, M., Kunze, K., & 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). (UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing). 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; 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 (UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tanaka, K, Iwata, M, Kunze, K & 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. 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 K, 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. (UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing). https://doi.org/10.1145/2638728.2638775

Tanaka, Katsuma ; Iwata, Motoi ; Kunze, Kai ; 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 (UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing).

@inproceedings{222aae1925e44549bd2ecaac3b815115,

title = "Memory specs-an annotation system on google glass using document image retrieval",

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.",

keywords = "Annotations, Document image retrieval, Google glass, Interactive paper, Memory, Wearable",

author = "Katsuma Tanaka and Motoi Iwata and Kai Kunze and Koichi Kise",

year = "2014",

month = jan,

day = "1",

doi = "10.1145/2638728.2638775",

language = "English",

series = "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",

booktitle = "UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing",

note = "2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 ; Conference date: 13-09-2014 Through 17-09-2014",

}

TY - GEN

T1 - Memory specs-an annotation system on google glass using document image retrieval

AU - Tanaka, Katsuma

AU - Iwata, Motoi

AU - Kunze, Kai

AU - Kise, Koichi

PY - 2014/1/1

Y1 - 2014/1/1

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

AN - SCOPUS:84908668522

T3 - UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

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

T2 - 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014

Y2 - 13 September 2014 through 17 September 2014

ER -