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Retrieving geo-location of videos with a divide & conquer hierarchical multimodal approach

Published: 16 April 2013 Publication History

Abstract

This paper presents a strategy to identify the geographic location of videos. First, it relies on a multi-modal cascade pipeline that exploits the available sources of information, namely the user's upload history, his social network and a visual-based matching technique. Second, we present a novel divide & conquer strategy to better exploit the tags associated with the input video. It pre-selects one or several geographic area of interest of higher expected relevance and performs a deeper analysis inside the selected area(s) to return the coordinates most likely to be related to the input tags. The experiments were conducted as part of the MediaEval 2012 Placing Task. Our approach, which differs significantly from the other submitted techniques, achieves the best results on this benchmark when considering the same amount of external information, i.e. when not using any gazetteers nor any other kind of external information.

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Cited By

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  • (2024)Advanced Techniques for Geospatial Referencing in Online Media RepositoriesFuture Internet10.3390/fi1603008716:3(87)Online publication date: 1-Mar-2024
  • (2023)Multimodal Geolocation Estimation of News PhotosAdvances in Information Retrieval10.1007/978-3-031-28238-6_14(204-220)Online publication date: 2-Apr-2023
  • (2020)MLMProceedings of the 29th ACM International Conference on Information & Knowledge Management10.1145/3340531.3412783(2967-2974)Online publication date: 19-Oct-2020
  • Show More Cited By

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    cover image ACM Conferences
    ICMR '13: Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
    April 2013
    362 pages
    ISBN:9781450320337
    DOI:10.1145/2461466
    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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    Published: 16 April 2013

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    Author Tags

    1. flickr
    2. geotags
    3. location
    4. placing task
    5. video annotation

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    ICMR '13 Paper Acceptance Rate 38 of 96 submissions, 40%;
    Overall Acceptance Rate 254 of 830 submissions, 31%

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    Cited By

    View all
    • (2024)Advanced Techniques for Geospatial Referencing in Online Media RepositoriesFuture Internet10.3390/fi1603008716:3(87)Online publication date: 1-Mar-2024
    • (2023)Multimodal Geolocation Estimation of News PhotosAdvances in Information Retrieval10.1007/978-3-031-28238-6_14(204-220)Online publication date: 2-Apr-2023
    • (2020)MLMProceedings of the 29th ACM International Conference on Information & Knowledge Management10.1145/3340531.3412783(2967-2974)Online publication date: 19-Oct-2020
    • (2019)Hierarchy-Dependent Cross-Platform Multi-View Feature Learning for Venue Category PredictionIEEE Transactions on Multimedia10.1109/TMM.2018.287683021:6(1609-1619)Online publication date: 22-May-2019
    • (2017)The Geo-Privacy Bonus of Popular Photo EnhancementsProceedings of the 2017 ACM on International Conference on Multimedia Retrieval10.1145/3078971.3080543(84-92)Online publication date: 6-Jun-2017
    • (2017)Geotagging Text Content With Language Models and Feature MiningProceedings of the IEEE10.1109/JPROC.2017.2688799105:10(1971-1986)Online publication date: Oct-2017
    • (2016)In-depth Exploration of Geotagging Performance using Sampling Strategies on YFCC100MProceedings of the 2016 ACM Workshop on Multimedia COMMONS10.1145/2983554.2983558(3-10)Online publication date: 16-Oct-2016
    • (2016)Fusing Web and Audio Predictors to Localize the Origin of Music Pieces for Geospatial RetrievalAdvances in Information Retrieval10.1007/978-3-319-30671-1_24(322-334)Online publication date: 2016
    • (2015)Exploiting Spatial Relationship between Scenes for Hierarchical Video GeotaggingProceedings of the 5th ACM on International Conference on Multimedia Retrieval10.1145/2671188.2749354(363-370)Online publication date: 22-Jun-2015
    • (2015)Geotagging Social Media Content with a Refined Language Modelling ApproachIntelligence and Security Informatics10.1007/978-3-319-18455-5_2(21-40)Online publication date: 2015
    • Show More Cited By

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