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FOCUS: clustering crowdsourced videos by line-of-sight

Published: 11 November 2013 Publication History

Abstract

We present a demonstration of FOCUS [1], a system to appear in the SenSys 2013 main conference. FOCUS is a video-clustering service for live user video streams, indexed automatically and in realtime by shared content. FOCUS uniquely leverages visual, 3D model reconstruction and multimodal sensing to decipher and continuously track a video's line-of-sight. Through spatial reasoning on the relative geometry of multiple video streams, FOCUS recognizes shared content even when viewed from diverse angles and distances. We believe FOCUS can enable a new family of applications, such as instant replay, augmented reality, citizen journalism, security breach detection, and disaster assessment.
In the demonstration, we will show 325 video clips taken at Duke University Wallace Wade Stadium being processed in real-time via FOCUS pipeline. The recorded video clips contain one of three spots in the stadium: East Stand, Scoreboard, and West Stand. The demo shall be shown in the form of a web interface, first showing randomly clustered video clips. Later, on a button click, FOCUS shall process displayed videos in real-time, outputting clusters of videos, containing the common shared subject in each of them. For each successfully processed video clip in a cluster, we will further show similar clips from near, medium, and wide angle. To display performance and accuracy of FOCUS in indoor environments, a similar demonstration will be shown for an office space. FOCUS shall run on multi-node Hadoop cluster built on top of IBM SmartCloud platform.

Reference

[1]
P. Jain, J. Manweiler, A. Acharya, and K. Beaty. Focus: Clustering crowdsourced videos by line-of-sight. In Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems. ACM, 2013.

Cited By

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  • (2017)Video Liveness for Citizen Journalism: Attacks and DefensesIEEE Transactions on Mobile Computing10.1109/TMC.2017.268792216:11(3250-3263)Online publication date: 1-Nov-2017
  • (2017)Worker-Contributed Data Utility Measurement for Visual Crowdsensing SystemsIEEE Transactions on Mobile Computing10.1109/TMC.2016.262098016:8(2379-2391)Online publication date: 1-Aug-2017
  • (2015)On Demand Retrieval of Crowdsourced Mobile VideoIEEE Sensors Journal10.1109/JSEN.2014.233629215:5(2632-2642)Online publication date: May-2015
  • Show More Cited By

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      cover image ACM Conferences
      SenSys '13: Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
      November 2013
      443 pages
      ISBN:9781450320276
      DOI:10.1145/2517351
      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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      New York, NY, United States

      Publication History

      Published: 11 November 2013

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      Author Tags

      1. localization
      2. structure from motion
      3. video analytics

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      SenSys '13 Paper Acceptance Rate 21 of 123 submissions, 17%;
      Overall Acceptance Rate 198 of 990 submissions, 20%

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      View all
      • (2017)Video Liveness for Citizen Journalism: Attacks and DefensesIEEE Transactions on Mobile Computing10.1109/TMC.2017.268792216:11(3250-3263)Online publication date: 1-Nov-2017
      • (2017)Worker-Contributed Data Utility Measurement for Visual Crowdsensing SystemsIEEE Transactions on Mobile Computing10.1109/TMC.2016.262098016:8(2379-2391)Online publication date: 1-Aug-2017
      • (2015)On Demand Retrieval of Crowdsourced Mobile VideoIEEE Sensors Journal10.1109/JSEN.2014.233629215:5(2632-2642)Online publication date: May-2015
      • (2015)Discovery and organization of multi-camera user-generated videos of the same eventInformation Sciences: an International Journal10.1016/j.ins.2014.08.026302:C(108-121)Online publication date: 1-May-2015

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