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Legible thumbnail: summarizing on-line handwritten documents based on emphasized expressions

Published: 30 August 2011 Publication History

Abstract

In recent years, digital notebooks have been replacing traditional paper-based notebooks with the development of handwriting input devices. Currently, we can access digital notebooks in various devices, including mobile devices. When we use such mobile devices, however, their limited screen size results in difficulty in understanding the summary of hand-written documents, without the use of a zoom feature. In this paper, we therefore propose the "Legible Thumbnail" that helps us to understand the summary without zooming. Our method detects the important words based on emphasis, such as an underline, and the method outputs the emphasized words to the thumbnail. Experiments show our thumbnail reduces search time by 21%.

References

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Cited By

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  • (2017)Exploring salient thumbnail generation for archival collections onlineProceedings of the 17th ACM/IEEE Joint Conference on Digital Libraries10.5555/3200334.3200382(299-300)Online publication date: 19-Jun-2017
  • (2017)Exploring Salient Thumbnail Generation for Archival Collections Online2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL)10.1109/JCDL.2017.7991599(1-2)Online publication date: Jun-2017

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  1. Legible thumbnail: summarizing on-line handwritten documents based on emphasized expressions

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    cover image ACM Other conferences
    MobileHCI '11: Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
    August 2011
    781 pages
    ISBN:9781450305419
    DOI:10.1145/2037373

    Sponsors

    • Nokia
    • Swedish Institute of Computer Science: Swedish Institute of Computer Science
    • ERICSSON

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 30 August 2011

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    Author Tags

    1. document navigation
    2. handwritten documents
    3. thumbnails

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    MobileHCI '11
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    • Swedish Institute of Computer Science

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    Overall Acceptance Rate 202 of 906 submissions, 22%

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    • (2017)Exploring salient thumbnail generation for archival collections onlineProceedings of the 17th ACM/IEEE Joint Conference on Digital Libraries10.5555/3200334.3200382(299-300)Online publication date: 19-Jun-2017
    • (2017)Exploring Salient Thumbnail Generation for Archival Collections Online2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL)10.1109/JCDL.2017.7991599(1-2)Online publication date: Jun-2017

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