skip to main content
10.1145/2830657.2830664acmconferencesArticle/Chapter ViewAbstractPublication PagesgisConference Proceedingsconference-collections
research-article

ST-Diary: A Multimedia Authoring Environment for Crowdsourced Spatio-Temporal Events

Published: 03 November 2015 Publication History

Abstract

The intensive use of social media through mobile devices has leveraged the development of digital diary applications that keep track of social events as well as geotagged multimedia content. In a large crowd where users with cultural diversity perform spatio-temporal activities, such geotagged multimedia content facilitates users' navigation through points of interest (POI) based on their preferences. This work presents a crowdsourced geo-spatial multimedia data aggregation tool that allows users to develop diary chapters relevant to forthcoming users' spatio-temporal activities. Our proposed solution provides users with the ability to add POIs through an authoring environment with multiple dimensions, such as spatio-temporal filters, multimedia categories, and event types. Specific application domains such as emergency situations, leisure trips, journalism, and tourism can take benefit of this technique. This authoring environment also visualizes geo-spatial multimedia content for collocated points of interest (CPOI) with moving users' timelines. We plan to integrate our proposed authoring environment as a proof of concept into our existing large-scale crowdsourcing environment that is envisioned to support millions of users during the Hajj 2015 event.

References

[1]
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.
[2]
Ahmad, A. et al. 2014. Towards a mobile and context-aware framework from crowdsourced data. The 5th International Conference on Information and Communication Technology for The Muslim World (ICT4M). (Nov. 2014), 1--6.
[3]
Ahmad, A. et al. 2015. Visualization of a Scale Free Network in a Smartphone-Based Multimedia Big Data Environment. 2015 IEEE International Conference on Multimedia Big Data (Apr. 2015), 286--287.
[4]
Alvarez-lozano, J. et al. 2012. User Location Forecasting at Points of Interest. Proceedings of the 2012 RecSys workshop on Personalizing the local mobile experience. (2012), 7--12.
[5]
Ave, S. M. and Floor, F. 2013. Multi-Day and Multi-Stay Travel Planning using Geo-Tagged Photos. c (2013), 1--8.
[6]
Bao, X. et al. 2009. Integration of multimedia and location-based services on mobile phone tour guide system. Network Infrastructure and Digital Content, 2009. IC-NIDC 2009. IEEE International Conference on. (2009), 642--646.
[7]
Carter, S. and Mankoff, J. 2005. When Participants Do the Capturing : The Role of Media in Diary Studies. Human-Computer Interaction. 05, (2005), 899.
[8]
Clarkson, B. et al. 2001. The familiar. CHI '01 extended abstracts on Human factors in computing systems - CHI '01. (2001), 271.
[9]
Hammerl, S. et al. 2012. Towards a semi-automatic personal digital diary. Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments - PETRA '12. (2012), 1.
[10]
Hess, J. and Wulf, V. 2009. Explore social behavior around rich-media: a structured diary study. Proceedings of the seventh european conference on European interactive television conference. (2009), 215--218.
[11]
Hutchison, D. and Mitchell, J. C. Lecture Notes in Computer Science.
[12]
Hyldegård, J. 2006. Using diaries in group based information behavior research: a methodological study. ... of the 1st international conference on Information .... (2006), 153--161.
[13]
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.
[14]
Rieman, J. 1993. The Diary Study: A Workplace-Oriented Research Tool to Guide Laboratory Efforts. Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '93. (1993), 321--326.
[15]
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. 2005, October (2005), 159--164.
[16]
Sohn, T. 2008. A diary study of mobile information needs. The 26th Annual CHI Conference on Human Factors in Computing Systems - CHI 08. (2008), 433.
[17]
Tekiner, F. and Keane, J. a. 2013. Big Data Framework. 2013 IEEE International Conference on Systems, Man, and Cybernetics. (Oct. 2013), 1494--1499.
[18]
Vazirgiannis, M. et al. 1998. Spatio-temporal composition and indexing for large multimedia applications. Multimedia Systems. 6, 4 (1998), 284--298.
[19]
Wang, X. et al. 2015. Semantic-Based Location Recommendation With Multimodal Venue Semantics. 17, 3 (2015), 409--419.
[20]
Wu, F. et al. 2015. Semantic Annotation of Mobility Data using Social Media. (2015), 1253--1263.

Cited By

View all
  • (2022)Multi-Sensor, Third-Party API, and Cross-Device Integrated Toolkit for Enriching Participatory ResearchJournal of Multimedia Information System10.33851/JMIS.2022.9.4.2879:4(287-292)Online publication date: 31-Dec-2022
  • (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.2020.30373968(208583-208609)Online publication date: 2020
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
LBSN'15: Proceedings of the 8th ACM SIGSPATIAL International Workshop on Location-Based Social Networks
November 2015
47 pages
ISBN:9781450339759
DOI:10.1145/2830657
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]

Sponsors

In-Cooperation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 November 2015

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Aggregation
  2. Crowdsourcing
  3. Multimedia
  4. Spatio-Temporal Events
  5. Visualization

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

SIGSPATIAL'15
Sponsor:

Acceptance Rates

Overall Acceptance Rate 8 of 15 submissions, 53%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)7
  • Downloads (Last 6 weeks)0
Reflects downloads up to 20 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2022)Multi-Sensor, Third-Party API, and Cross-Device Integrated Toolkit for Enriching Participatory ResearchJournal of Multimedia Information System10.33851/JMIS.2022.9.4.2879:4(287-292)Online publication date: 31-Dec-2022
  • (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.2020.30373968(208583-208609)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)A Location-Based Mobile Crowdsensing Framework Supporting a Massive Ad Hoc Social Network EnvironmentIEEE Communications Magazine10.1109/MCOM.2017.1600725CM55:3(76-85)Online publication date: 1-Mar-2017
  • (2017)Towards a Secure Mobile Edge Computing Framework for HajjIEEE Access10.1109/ACCESS.2017.27167825(11768-11781)Online publication date: 2017
  • (2016)Spatial-crowd: A big data framework for efficient data visualization2016 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2016.7840842(2130-2138)Online publication date: Dec-2016
  • (2016)Routing in wireless multimedia sensor networksJournal of Network and Computer Applications10.1016/j.jnca.2016.05.01371:C(30-49)Online publication date: 1-Aug-2016
  • (2015)A spatio-temporal multimedia big data framework for a large crowdProceedings of the 2015 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2015.7364075(2742-2751)Online publication date: 29-Oct-2015
  • (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

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media