Details
| Original language | English |
|---|---|
| Title of host publication | Intelligent Technologies and Applications |
| Subtitle of host publication | 3rd International Conference, INTAP 2020, Revised Selected Papers |
| Editors | Sule Yildirim Yayilgan, Imran Sarwar Bajwa, Filippo Sanfilippo |
| Place of Publication | Cham |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 404-416 |
| Number of pages | 13 |
| ISBN (electronic) | 978-3-030-71711-7 |
| ISBN (print) | 9783030717100 |
| Publication status | Published - 15 Mar 2021 |
| Event | 3rd International Conference on Intelligent Technologies and Applications, INTAP 2020 - Grimstad, Norway Duration: 28 Sept 2020 → 30 Sept 2020 |
Publication series
| Name | Communications in Computer and Information Science |
|---|---|
| Volume | 1382 |
| ISSN (Print) | 1865-0929 |
| ISSN (electronic) | 1865-0937 |
Abstract
Migration, and especially irregular migration, is a critical issue for border agencies and society in general. Migration-related situations and decisions are influenced by various factors, including the perceptions about migration routes and target countries. An improved understanding of such factors can be achieved by systematic automated analyses of media and social media channels, and the videos and images published in them. However, the multifaceted nature of migration and the variety of ways migration-related aspects are expressed in images and videos make the finding and automated analysis of migration-related multimedia content a challenging task. We propose a novel approach that effectively bridges the gap between a substantiated domain understanding - encapsulated into a set of Migration-related semantic concepts - and the expression of such concepts in a video, by introducing an advanced video analysis and retrieval method for this purpose.
Keywords
- Conceptualization, Migration, Semantic concept, Video analysis
ASJC Scopus subject areas
- Computer Science(all)
- General Computer Science
- Mathematics(all)
- General Mathematics
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
Intelligent Technologies and Applications: 3rd International Conference, INTAP 2020, Revised Selected Papers. ed. / Sule Yildirim Yayilgan; Imran Sarwar Bajwa; Filippo Sanfilippo. Cham: Springer Science and Business Media Deutschland GmbH, 2021. p. 404-416 (Communications in Computer and Information Science; Vol. 1382).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Migration-Related Semantic Concepts for the Retrieval of Relevant Video Content
AU - Elejalde, Erick
AU - Galanopoulos, Damianos
AU - Niederée, Claudia
AU - Mezaris, Vasileios
N1 - Funding Information: This work was supported by the European Union?s Horizon 2020 research and innovation programme under grant agreement No. 832921 (MIRROR).
PY - 2021/3/15
Y1 - 2021/3/15
N2 - Migration, and especially irregular migration, is a critical issue for border agencies and society in general. Migration-related situations and decisions are influenced by various factors, including the perceptions about migration routes and target countries. An improved understanding of such factors can be achieved by systematic automated analyses of media and social media channels, and the videos and images published in them. However, the multifaceted nature of migration and the variety of ways migration-related aspects are expressed in images and videos make the finding and automated analysis of migration-related multimedia content a challenging task. We propose a novel approach that effectively bridges the gap between a substantiated domain understanding - encapsulated into a set of Migration-related semantic concepts - and the expression of such concepts in a video, by introducing an advanced video analysis and retrieval method for this purpose.
AB - Migration, and especially irregular migration, is a critical issue for border agencies and society in general. Migration-related situations and decisions are influenced by various factors, including the perceptions about migration routes and target countries. An improved understanding of such factors can be achieved by systematic automated analyses of media and social media channels, and the videos and images published in them. However, the multifaceted nature of migration and the variety of ways migration-related aspects are expressed in images and videos make the finding and automated analysis of migration-related multimedia content a challenging task. We propose a novel approach that effectively bridges the gap between a substantiated domain understanding - encapsulated into a set of Migration-related semantic concepts - and the expression of such concepts in a video, by introducing an advanced video analysis and retrieval method for this purpose.
KW - Conceptualization
KW - Migration
KW - Semantic concept
KW - Video analysis
UR - http://www.scopus.com/inward/record.url?scp=85103505647&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-71711-7_34
DO - 10.1007/978-3-030-71711-7_34
M3 - Conference contribution
AN - SCOPUS:85103505647
SN - 9783030717100
T3 - Communications in Computer and Information Science
SP - 404
EP - 416
BT - Intelligent Technologies and Applications
A2 - Yildirim Yayilgan, Sule
A2 - Bajwa, Imran Sarwar
A2 - Sanfilippo, Filippo
PB - Springer Science and Business Media Deutschland GmbH
CY - Cham
T2 - 3rd International Conference on Intelligent Technologies and Applications, INTAP 2020
Y2 - 28 September 2020 through 30 September 2020
ER -