Share Me - A digital annotation sharing service for paper documents with multiple clients support

Kazuma Tanaka; Motoi Iwata; Kai Kunze; Masakazu Iwamura; Koishi Kise

doi:10.1109/ACPR.2013.182

Share Me - A digital annotation sharing service for paper documents with multiple clients support

Kazuma Tanaka, Motoi Iwata, Kai Kunze, Masakazu Iwamura, Koishi Kise

Research output: Contribution to conference › Paper › peer-review

5 Citations (Scopus)

Abstract

In this paper we describe a novel annotation service which is capable of seamlessly linking physical and digital worlds through paper documents. Our service uses a real-time document image retrieval method called Locally Likely Arrangement Hashing (LLAH) for providing information associated with the document. By using this service digital annotations can be added to physical documents and shared with friends via mobile devices. We present the prototype implementation, and provide a discussion covering the technical details of the system.

Original language	English
Pages	779-782
Number of pages	4
DOIs	https://doi.org/10.1109/ACPR.2013.182
Publication status	Published - 2013
Externally published	Yes
Event	2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013 - Naha, Okinawa, Japan Duration: 2013 Nov 5 → 2013 Nov 8

Other

Other	2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013
Country/Territory	Japan
City	Naha, Okinawa
Period	13/11/5 → 13/11/8

Keywords

Annotation
Document image retrieval
IOS
Mobile
Smart phone

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/ACPR.2013.182

Cite this

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title = "Share Me - A digital annotation sharing service for paper documents with multiple clients support",

abstract = "In this paper we describe a novel annotation service which is capable of seamlessly linking physical and digital worlds through paper documents. Our service uses a real-time document image retrieval method called Locally Likely Arrangement Hashing (LLAH) for providing information associated with the document. By using this service digital annotations can be added to physical documents and shared with friends via mobile devices. We present the prototype implementation, and provide a discussion covering the technical details of the system.",

keywords = "Annotation, Document image retrieval, IOS, Mobile, Smart phone",

author = "Kazuma Tanaka and Motoi Iwata and Kai Kunze and Masakazu Iwamura and Koishi Kise",

year = "2013",

doi = "10.1109/ACPR.2013.182",

language = "English",

pages = "779--782",

note = "2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013 ; Conference date: 05-11-2013 Through 08-11-2013",

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AU - Tanaka, Kazuma

AU - Iwata, Motoi

AU - Kunze, Kai

AU - Iwamura, Masakazu

AU - Kise, Koishi

PY - 2013

Y1 - 2013

N2 - In this paper we describe a novel annotation service which is capable of seamlessly linking physical and digital worlds through paper documents. Our service uses a real-time document image retrieval method called Locally Likely Arrangement Hashing (LLAH) for providing information associated with the document. By using this service digital annotations can be added to physical documents and shared with friends via mobile devices. We present the prototype implementation, and provide a discussion covering the technical details of the system.

AB - In this paper we describe a novel annotation service which is capable of seamlessly linking physical and digital worlds through paper documents. Our service uses a real-time document image retrieval method called Locally Likely Arrangement Hashing (LLAH) for providing information associated with the document. By using this service digital annotations can be added to physical documents and shared with friends via mobile devices. We present the prototype implementation, and provide a discussion covering the technical details of the system.

KW - Annotation

KW - Document image retrieval

KW - IOS

KW - Mobile

KW - Smart phone

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T2 - 2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013

Y2 - 5 November 2013 through 8 November 2013

ER -

Share Me - A digital annotation sharing service for paper documents with multiple clients support

Abstract

Other

Keywords

ASJC Scopus subject areas

Access to Document

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