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i-Diary: A Crowdsource-based Spatio-Temporal Multimedia Enhanced Points of Interest Authoring Tool

Published: 13 October 2015 Publication History

Abstract

Traditional routing algorithms for calculating the fastest or shortest path become ineffective or difficult to use when both source and destination are dynamic or unknown. To solve the problem, we propose a novel semantic routing system that leverages geo-tagged rich crowdsourced multimedia information such as images, audio, video and text to add semantics to the conventional routing. Our proposed system includes a Semantic Multimedia Routing Algorithm (SMRA) that uses an indexed spatial big data environment to answer multimedia spatio-temporal queries in real-time. The results are customized to the users' smartphone bandwidth and resolution requirements. The system has been designed to be able to handle a very large number of multimedia spatio-temporal requests at any given moment. A proof of concept of the system will be demonstrated through two scenarios. These are 1) multimedia enhanced routing and 2) finding lost individuals in a large crowd using multimedia. We plan to test the system's performance and usability during Hajj 2015, where over four million pilgrims from all over the world gather to perform their rituals.

References

[1]
Vazirgiannis, M. et al. 1998. Spatio-temporal composition and indexing for large multimedia applications. Multimedia Systems. 6, 4 (1998), 284--298.
[2]
Rahman, M.A. and Anwar Hossain, M. 2004. Lornav: A demo of a virtual reality tool for navigation and authoring of learning object repositories. Proceedings - Eighth IEEE International Symposium on Distributed Simulation and Real-Time Applications, DS-RT 2004. (2004), 240--243.
[3]
El Saddik, A. et al. 2005. Authoring multimedia objects in collaborative ambient intelligent virtual environment. HAVE 2005: IEEE International Workshop on Haptic Audio Visual Environments and their Applications. October (2005), 159--164.
[4]
Wang, X. et al. 2015. Semantic-Based Location Recommendation With Multimodal Venue Semantics. 17, 3 (2015), 409--419.
[5]
Ahmad, A. et al. 2014. A Framework for Crowd-Sourced Data Collection and Context-Aware Services in Hajj and Umrah. Computer Systems and Applications (AICCSA), 2014 IEEE/ACS 11th International Conference (2014), 405--412.
[6]
https://play.google.com/store/apps/details?id=com.hajjandumrah&hl=en
[7]
https://haj.gov.sa

Cited By

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  • (2022)Solving Hajj and Umrah Challenges Using Information and Communication Technology: A SurveyIEEE Access10.1109/ACCESS.2022.319085310(75404-75427)Online publication date: 2022
  • (2020)Digital Revolution for Hajj Crowd Management: A Technology SurveyIEEE Access10.1109/ACCESS.2020.3037396(1-1)Online publication date: 2020
  • (2018)Context-aware services based on spatio-temporal zoning and crowdsourcingBehaviour & Information Technology10.1080/0144929X.2018.147658637:7(736-760)Online publication date: 4-Jun-2018
  • Show More Cited By

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  1. i-Diary: A Crowdsource-based Spatio-Temporal Multimedia Enhanced Points of Interest Authoring Tool

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    Published In

    cover image ACM Conferences
    MM '15: Proceedings of the 23rd ACM international conference on Multimedia
    October 2015
    1402 pages
    ISBN:9781450334594
    DOI:10.1145/2733373
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 13 October 2015

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    Author Tags

    1. crowdsourcing
    2. geo-tagged multimedia
    3. semantic multimedia routing
    4. spatio-temporal multimedia queries

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    • Demonstration

    Funding Sources

    • King Abdul Aziz City for Science and Technology

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    MM '15
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    MM '15: ACM Multimedia Conference
    October 26 - 30, 2015
    Brisbane, Australia

    Acceptance Rates

    MM '15 Paper Acceptance Rate 56 of 252 submissions, 22%;
    Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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    Cited By

    View all
    • (2022)Solving Hajj and Umrah Challenges Using Information and Communication Technology: A SurveyIEEE Access10.1109/ACCESS.2022.319085310(75404-75427)Online publication date: 2022
    • (2020)Digital Revolution for Hajj Crowd Management: A Technology SurveyIEEE Access10.1109/ACCESS.2020.3037396(1-1)Online publication date: 2020
    • (2018)Context-aware services based on spatio-temporal zoning and crowdsourcingBehaviour & Information Technology10.1080/0144929X.2018.147658637:7(736-760)Online publication date: 4-Jun-2018
    • (2017)Towards a Secure Mobile Edge Computing Framework for HajjIEEE Access10.1109/ACCESS.2017.27167825(11768-11781)Online publication date: 2017

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