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A crowdsourcing based mobile image translation and knowledge sharing service

Published: 01 December 2010 Publication History

Abstract

Travelers in countries that use an unfamiliar script cannot use pocket translators or online translation services to understand menus, maps, signs and other important information, because they are unable to write the text they see. Solutions based on optical character recognition provide very limited performance in real-world situations and for complex scripts such as Chinese and Japanese. In this paper, we propose an alternative image translation solution based on crowdsourcing. A large number of human workers on mobile terminals are used to carry out the tasks of image recognition, translation and quality assurance. Compared to purely technical solutions, this human computation approach is also able to account for context and non-textual cues, and provide higher level information to the end-user. In this paper, we describe a preliminary user study to create a model of end-user requirements.

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  • (2022)Terratech: A Crowdsourcing Web Application that Aids Environmental Needs and ConcernsProceedings of the 4th International Conference on Management Science and Industrial Engineering10.1145/3535782.3535832(383-390)Online publication date: 28-Apr-2022
  • (2021)Mobile Crowd-sensing Applications: Data Redundancies, Challenges, and SolutionsACM Transactions on Internet Technology10.1145/343150222:2(1-15)Online publication date: 29-Oct-2021
  • (2019)Maximizing Coverage Quality with Budget Constrained in Mobile Crowd-Sensing Network for Environmental Monitoring ApplicationsSensors10.3390/s1910239919:10(2399)Online publication date: 26-May-2019
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    MUM '10: Proceedings of the 9th International Conference on Mobile and Ubiquitous Multimedia
    December 2010
    239 pages
    ISBN:9781450304245
    DOI:10.1145/1899475
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • FRED-Cyprus: Frederick University Cyprus
    • University of Cyprus

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    New York, NY, United States

    Publication History

    Published: 01 December 2010

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    Author Tags

    1. crowdsourcing
    2. human computation
    3. image-text recognition
    4. knowledge sharing
    5. mobile image translation

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    MUM '10
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    Overall Acceptance Rate 190 of 465 submissions, 41%

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    Cited By

    View all
    • (2022)Terratech: A Crowdsourcing Web Application that Aids Environmental Needs and ConcernsProceedings of the 4th International Conference on Management Science and Industrial Engineering10.1145/3535782.3535832(383-390)Online publication date: 28-Apr-2022
    • (2021)Mobile Crowd-sensing Applications: Data Redundancies, Challenges, and SolutionsACM Transactions on Internet Technology10.1145/343150222:2(1-15)Online publication date: 29-Oct-2021
    • (2019)Maximizing Coverage Quality with Budget Constrained in Mobile Crowd-Sensing Network for Environmental Monitoring ApplicationsSensors10.3390/s1910239919:10(2399)Online publication date: 26-May-2019
    • (2019)Computing with Nearby Mobile Devices: A Work Sharing Algorithm for Mobile Edge-CloudsIEEE Transactions on Cloud Computing10.1109/TCC.2016.25601637:2(329-343)Online publication date: 1-Apr-2019
    • (2018)Task Allocation in Spatial Crowdsourcing: Current State and Future DirectionsIEEE Internet of Things Journal10.1109/JIOT.2018.28159825:3(1749-1764)Online publication date: Jun-2018
    • (2014)GamificationEncyclopedia of Information Science and Technology, Third Edition10.4018/978-1-4666-5888-2.ch297(3039-3047)Online publication date: 31-Jul-2014
    • (2013)From sensing to controllingInternational Journal of Communication Networks and Distributed Systems10.1504/IJCNDS.2013.05483211:1(11-25)Online publication date: 1-Jun-2013
    • (2013)Using stranger as sensorsProceedings of the 22nd international conference on World Wide Web10.1145/2488388.2488458(803-814)Online publication date: 13-May-2013
    • (2013)Human Computation in Mobile Cooperative Learning: A Museum Tour Case StudyTransactions on Edutainment X10.1007/978-3-642-37919-2_13(216-227)Online publication date: 2013
    • (2013)Augmented Reality Interfaces in Human Computation SystemsHandbook of Human Computation10.1007/978-1-4614-8806-4_26(317-331)Online publication date: 20-Nov-2013
    • Show More Cited By

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