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

Barney Craggs, Myles Kilgallon Scott, Jason Alexander

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)
1 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationCHI '14 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
Pages1217-1220
Number of pages4
ISBN (Print)9781450324731
DOIs
Publication statusPublished - 26 Apr 2014

Cite this

Craggs, B., Kilgallon Scott, M., & Alexander, J. (2014). ThumbReels: query sensitive web video previews based on temporal, crowdsourced, semantic tagging. In CHI '14 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 1217-1220). Association for Computing Machinery. https://doi.org/10.1145/2556288.2557249