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Interactive exploration of journalistic video footage through multimodal semantic matching. / Ibrahimi, Sarah; Chen, Shuo; Arya, Devanshu; Câmara, Arthur; Chen, Yunlu; Crijns, Tanja; Van Der Goes, Maurits; Mensink, Thomas; Van Miltenburg, Emiel; More Authors.

MM 2019 - Proceedings of the 27th ACM International Conference on Multimedia. Association for Computing Machinery (ACM), 2019. p. 2196-2198.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Ibrahimi, S, Chen, S, Arya, D, Câmara, A, Chen, Y, Crijns, T, Van Der Goes, M, Mensink, T, Van Miltenburg, E & More Authors 2019, Interactive exploration of journalistic video footage through multimodal semantic matching. in MM 2019 - Proceedings of the 27th ACM International Conference on Multimedia. Association for Computing Machinery (ACM), pp. 2196-2198, 27th ACM International Conference on Multimedia, MM 2019, Nice, France, 21/10/19. https://doi.org/10.1145/3343031.3350597

APA

Ibrahimi, S., Chen, S., Arya, D., Câmara, A., Chen, Y., Crijns, T., ... More Authors (2019). Interactive exploration of journalistic video footage through multimodal semantic matching. In MM 2019 - Proceedings of the 27th ACM International Conference on Multimedia (pp. 2196-2198). Association for Computing Machinery (ACM). https://doi.org/10.1145/3343031.3350597

Vancouver

Ibrahimi S, Chen S, Arya D, Câmara A, Chen Y, Crijns T et al. Interactive exploration of journalistic video footage through multimodal semantic matching. In MM 2019 - Proceedings of the 27th ACM International Conference on Multimedia. Association for Computing Machinery (ACM). 2019. p. 2196-2198 https://doi.org/10.1145/3343031.3350597

Author

Ibrahimi, Sarah ; Chen, Shuo ; Arya, Devanshu ; Câmara, Arthur ; Chen, Yunlu ; Crijns, Tanja ; Van Der Goes, Maurits ; Mensink, Thomas ; Van Miltenburg, Emiel ; More Authors. / Interactive exploration of journalistic video footage through multimodal semantic matching. MM 2019 - Proceedings of the 27th ACM International Conference on Multimedia. Association for Computing Machinery (ACM), 2019. pp. 2196-2198

BibTeX

@inproceedings{63fe23c211cb47659ea54e921daff42e,
title = "Interactive exploration of journalistic video footage through multimodal semantic matching",
abstract = "This demo presents a system for journalists to explore video footage for broadcasts. Daily news broadcasts contain multiple news items that consist of many video shots and searching for relevant footage is a labor intensive task. Without the need for annotated video shots, our system extracts semantics from footage and automatically matches these semantics to query terms from the journalist. The journalist can then indicate which aspects of the query term need to be emphasized, e.g. the title or its thematic meaning. The goal of this system is to support the journalists in their search process by encouraging interaction and exploration with the system.",
keywords = "Exploration, Matching, Multimodal, Semantics, Video",
author = "Sarah Ibrahimi and Shuo Chen and Devanshu Arya and Arthur C{\^a}mara and Yunlu Chen and Tanja Crijns and {Van Der Goes}, Maurits and Thomas Mensink and {Van Miltenburg}, Emiel and {More Authors}",
year = "2019",
month = "10",
day = "15",
doi = "10.1145/3343031.3350597",
language = "English",
pages = "2196--2198",
booktitle = "MM 2019 - Proceedings of the 27th ACM International Conference on Multimedia",
publisher = "Association for Computing Machinery (ACM)",
address = "United States",

}

RIS

TY - GEN

T1 - Interactive exploration of journalistic video footage through multimodal semantic matching

AU - Ibrahimi, Sarah

AU - Chen, Shuo

AU - Arya, Devanshu

AU - Câmara, Arthur

AU - Chen, Yunlu

AU - Crijns, Tanja

AU - Van Der Goes, Maurits

AU - Mensink, Thomas

AU - Van Miltenburg, Emiel

AU - More Authors, null

PY - 2019/10/15

Y1 - 2019/10/15

N2 - This demo presents a system for journalists to explore video footage for broadcasts. Daily news broadcasts contain multiple news items that consist of many video shots and searching for relevant footage is a labor intensive task. Without the need for annotated video shots, our system extracts semantics from footage and automatically matches these semantics to query terms from the journalist. The journalist can then indicate which aspects of the query term need to be emphasized, e.g. the title or its thematic meaning. The goal of this system is to support the journalists in their search process by encouraging interaction and exploration with the system.

AB - This demo presents a system for journalists to explore video footage for broadcasts. Daily news broadcasts contain multiple news items that consist of many video shots and searching for relevant footage is a labor intensive task. Without the need for annotated video shots, our system extracts semantics from footage and automatically matches these semantics to query terms from the journalist. The journalist can then indicate which aspects of the query term need to be emphasized, e.g. the title or its thematic meaning. The goal of this system is to support the journalists in their search process by encouraging interaction and exploration with the system.

KW - Exploration

KW - Matching

KW - Multimodal

KW - Semantics

KW - Video

UR - http://www.scopus.com/inward/record.url?scp=85074826713&partnerID=8YFLogxK

U2 - 10.1145/3343031.3350597

DO - 10.1145/3343031.3350597

M3 - Conference contribution

SP - 2196

EP - 2198

BT - MM 2019 - Proceedings of the 27th ACM International Conference on Multimedia

PB - Association for Computing Machinery (ACM)

ER -

ID: 66807730