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A Semantic Geo-Tagged Multimedia-Based Routing in a Crowdsourced Big Data Environment

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]
A. Ahmad et al. A Framework for Crowd-Sourced Data Collection and Context-Aware Services in Hajj and Umrah. IEEE/ACS 11th International Confserence on Computer Systems and Applications (AICCSA), pp.405--412, November 2014.
[2]
F. U. Rehman et al. Toward dynamic path recommender system based on social network data. Proc. 7th ACM SIGSPATIAL, IWCTS '14, pp. 64--69, November 2014.
[3]
X. Wang et al. Semantic-Based Location Recommendation With Multimodal Venue Semantics. Multimedia, IEEE Transactions, vol.17, no.3, pp. 409,419, March 2015.
[4]
A. Magdy et al. Taghreed: a system for querying, analyzing, and visualizing geotagged microblogs. Proc. 22nd ACM SIGSPATIAL, 163--172, November 2014.

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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 Abdulaziz City of Science and Technology

Conference

MM '15
Sponsor:
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

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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
  • (2017)Towards a Secure Mobile Edge Computing Framework for HajjIEEE Access10.1109/ACCESS.2017.27167825(11768-11781)Online publication date: 2017
  • (2015)Scale Free Network Analysis of a Large Crowd through Their Spatio-Temporal Activities2015 4th International Conference on Advanced Computer Science Applications and Technologies (ACSAT)10.1109/ACSAT.2015.34(127-132)Online publication date: Dec-2015

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