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Annotating and navigating tourist videos

Published: 02 November 2010 Publication History

Abstract

Due to the rapid increase in video capture technology, more and more tourist videos are captured every day, creating a challenge for organization and association with metadata. In this paper, we present a novel system for annotating and navigating tourist videos. Placing annotations in a video is difficult because of the need to track the movement of the camera. Navigation of a regular video is also challenging due to the sequential nature of the media. To overcome these challenges, we introduce a system for registering videos to geo-referenced 3D models and analyzing the video contents. We also introduce a novel scheduling algorithm for showing annotations in video. We show results in automatically annotated videos and in a map-based application for browsing videos. Our user study indicates the system is very useful.

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  • (2022)Label Guidance based Object Locating in Virtual Reality2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR55827.2022.00060(441-449)Online publication date: Oct-2022
  • (2020)Semantic-aware label placement for augmented reality in street viewThe Visual Computer10.1007/s00371-020-01939-wOnline publication date: 2-Aug-2020
  • (2018)An empirical evaluation of labelling method in augmented realityProceedings of the 16th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry10.1145/3284398.3284422(1-9)Online publication date: 2-Dec-2018
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cover image ACM Conferences
GIS '10: Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
November 2010
566 pages
ISBN:9781450304283
DOI:10.1145/1869790
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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Publication History

Published: 02 November 2010

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Author Tags

  1. geo-tagged contents
  2. video annotation
  3. video navigation

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Overall Acceptance Rate 257 of 1,238 submissions, 21%

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Cited By

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  • (2022)Label Guidance based Object Locating in Virtual Reality2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR55827.2022.00060(441-449)Online publication date: Oct-2022
  • (2020)Semantic-aware label placement for augmented reality in street viewThe Visual Computer10.1007/s00371-020-01939-wOnline publication date: 2-Aug-2020
  • (2018)An empirical evaluation of labelling method in augmented realityProceedings of the 16th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry10.1145/3284398.3284422(1-9)Online publication date: 2-Dec-2018
  • (2018)Spatiotemporal Coherence-Based Annotation Placement for Surveillance VideosIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2016.262934028:3(787-801)Online publication date: Mar-2018
  • (2017)Feature-centric ranking algorithms for georeferenced video searchProceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/3139958.3139976(1-10)Online publication date: 7-Nov-2017
  • (2017)Geographic information use in weakly-supervised deep learning for landmark recognition2017 IEEE International Conference on Multimedia and Expo (ICME)10.1109/ICME.2017.8019376(1015-1020)Online publication date: Jul-2017
  • (2016)Automatic geographic metadata correction for sensor-rich video sequencesProceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/2996913.2997015(1-10)Online publication date: 31-Oct-2016
  • (2016)A Biologically Inspired Automatic System for Media Quality AssessmentIEEE Transactions on Automation Science and Engineering10.1109/TASE.2015.241822313:2(894-902)Online publication date: Apr-2016
  • (2015)Content vs. ContextACM Transactions on Multimedia Computing, Communications, and Applications10.1145/270028711:3(1-21)Online publication date: 5-Feb-2015
  • (2015)On Generating Content-Oriented Geo Features for Sensor-Rich Outdoor Video SearchIEEE Transactions on Multimedia10.1109/TMM.2015.245804217:10(1760-1772)Online publication date: Oct-2015
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