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ThumbReels: query sensitive web video previews based on temporal, crowdsourced, semantic tagging

Published: 26 April 2014 Publication History

Abstract

During online search, the user's expectations often differ from those of the author. This is known as the "intention gap" and is particularly problematic when searching for and discriminating between online video content. An author uses description and meta-data tags to label their content, but often cannot predict alternate interpretations or appropriations of their work. To address this intention gap, we present ThumbReels, a concept for query-sensitive video previews generated from crowdsourced, temporally defined semantic tagging. Further, we supply an open-source tool that supports on-the-fly temporal tagging of videos, whose output can be used for later search queries. A first user study validates the tool and concept. We then present a second study that shows participants found ThumbReels to better represent search terms than contemporary preview techniques.

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Cited By

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  • (2021)Construction of a Switching Support System for Live Broadcast of Oral PresentationJournal of Information Processing10.2197/ipsjjip.29.20629(206-214)Online publication date: 2021
  • (2019)A Representation Theorem for Change through Composition of ActivitiesACM Transactions on Computational Logic10.1145/332912120:4(1-31)Online publication date: 26-Jul-2019
  • (2018)Mobile Interface Design for Online Movie Databases – Comparing Active Exploration With Standard UI Designs2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)10.1109/ICMEW.2018.8551578(1-6)Online publication date: Jul-2018
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  1. ThumbReels: query sensitive web video previews based on temporal, crowdsourced, semantic tagging

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    cover image ACM Conferences
    CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
    April 2014
    4206 pages
    ISBN:9781450324731
    DOI:10.1145/2556288
    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 the author(s) 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: 26 April 2014

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    Author Tags

    1. crowdsourcing
    2. metadata
    3. thumbnails
    4. thumbreels
    5. video
    6. video summarisation
    7. video surrogates

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    CHI '14
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    CHI '14: CHI Conference on Human Factors in Computing Systems
    April 26 - May 1, 2014
    Ontario, Toronto, Canada

    Acceptance Rates

    CHI '14 Paper Acceptance Rate 465 of 2,043 submissions, 23%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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    Cited By

    View all
    • (2021)Construction of a Switching Support System for Live Broadcast of Oral PresentationJournal of Information Processing10.2197/ipsjjip.29.20629(206-214)Online publication date: 2021
    • (2019)A Representation Theorem for Change through Composition of ActivitiesACM Transactions on Computational Logic10.1145/332912120:4(1-31)Online publication date: 26-Jul-2019
    • (2018)Mobile Interface Design for Online Movie Databases – Comparing Active Exploration With Standard UI Designs2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)10.1109/ICMEW.2018.8551578(1-6)Online publication date: Jul-2018
    • (2017)Recognizing and Presenting the Storytelling Video Structure With Deep Multimodal NetworksIEEE Transactions on Multimedia10.1109/TMM.2016.264487219:5(955-968)Online publication date: 1-May-2017
    • (2016)Item-Based Video RecommendationProceedings of the 2016 ACM on International Conference on Multimedia Retrieval10.1145/2911996.2912066(351-354)Online publication date: 6-Jun-2016
    • (2016)Scene-driven Retrieval in Edited Videos using Aesthetic and Semantic Deep FeaturesProceedings of the 2016 ACM on International Conference on Multimedia Retrieval10.1145/2911996.2912012(23-29)Online publication date: 6-Jun-2016
    • (2016)A framework for automatic static and dynamic video thumbnail extractionMultimedia Tools and Applications10.1007/s11042-015-2909-675:23(15975-15991)Online publication date: 1-Dec-2016
    • (2015)Exploring the Benefits of Text and Sketch in Video Retrieval of Complex QueriesProceedings of the 8th International Symposium on Visual Information Communication and Interaction10.1145/2801040.2801063(115-120)Online publication date: 24-Aug-2015

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