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 conferencePaper

3 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 languageEnglish
Pages779-782
Number of pages4
DOIs
Publication statusPublished - 2013 Jan 1
Externally publishedYes
Event2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013 - Naha, Okinawa, Japan
Duration: 2013 Nov 52013 Nov 8

Other

Other2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013
CountryJapan
CityNaha, Okinawa
Period13/11/513/11/8

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Keywords

  • Annotation
  • Document image retrieval
  • IOS
  • Mobile
  • Smart phone

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Tanaka, K., Iwata, M., Kunze, K., Iwamura, M., & Kise, K. (2013). Share Me - A digital annotation sharing service for paper documents with multiple clients support. 779-782. Paper presented at 2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013, Naha, Okinawa, Japan. https://doi.org/10.1109/ACPR.2013.182