Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 27th ACM International Conference on Multimedia |
| Place of Publication | New York, NY, USA |
| Publisher | ACM |
| Pages | 2196-2198 |
| Number of pages | 3 |
| ISBN (Print) | 9781450368896 |
| DOIs | |
| Publication status | Published - 2019 |
Publication series
| Name | MM '19 |
|---|---|
| Publisher | ACM |
Fingerprint
Keywords
- exploration
- matching
- multimodal
- semantics
- video
Cite this
}
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; Odijk, Daan; Thong, William; Zhao, Jiaojiao; Mettes, Pascal.
Proceedings of the 27th ACM International Conference on Multimedia. New York, NY, USA : ACM, 2019. p. 2196-2198 (MM '19).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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 - Odijk, Daan
AU - Thong, William
AU - Zhao, Jiaojiao
AU - Mettes, Pascal
PY - 2019
Y1 - 2019
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
U2 - 10.1145/3343031.3350597
DO - 10.1145/3343031.3350597
M3 - Conference contribution
SN - 9781450368896
T3 - MM '19
SP - 2196
EP - 2198
BT - Proceedings of the 27th ACM International Conference on Multimedia
PB - ACM
CY - New York, NY, USA
ER -