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

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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ThumbReels: query sensitive web video previews based on temporal, crowdsourced, semantic tagging. / Craggs, Barney; Kilgallon Scott, Myles; Alexander, Jason.
CHI '14 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York: ACM, 2014. p. 1217-1220.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

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. ACM, New York, pp. 1217-1220. https://doi.org/10.1145/2556288.2557249

APA

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). ACM. https://doi.org/10.1145/2556288.2557249

Vancouver

Craggs B, Kilgallon Scott M, Alexander J. 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. New York: ACM. 2014. p. 1217-1220 doi: 10.1145/2556288.2557249

Author

Craggs, Barney ; Kilgallon Scott, Myles ; Alexander, Jason. / ThumbReels : query sensitive web video previews based on temporal, crowdsourced, semantic tagging. CHI '14 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York : ACM, 2014. pp. 1217-1220

Bibtex

@inproceedings{06bcc498e369493d8e615de22479ad36,
title = "ThumbReels: query sensitive web video previews based on temporal, crowdsourced, semantic tagging",
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.",
author = "Barney Craggs and {Kilgallon Scott}, Myles and Jason Alexander",
year = "2014",
month = apr,
day = "26",
doi = "10.1145/2556288.2557249",
language = "English",
isbn = "9781450324731",
pages = "1217--1220",
booktitle = "CHI '14 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems",
publisher = "ACM",

}

RIS

TY - GEN

T1 - ThumbReels

T2 - query sensitive web video previews based on temporal, crowdsourced, semantic tagging

AU - Craggs, Barney

AU - Kilgallon Scott, Myles

AU - Alexander, Jason

PY - 2014/4/26

Y1 - 2014/4/26

N2 - 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.

AB - 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.

U2 - 10.1145/2556288.2557249

DO - 10.1145/2556288.2557249

M3 - Conference contribution/Paper

SN - 9781450324731

SP - 1217

EP - 1220

BT - CHI '14 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

PB - ACM

CY - New York

ER -