Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | ICMR 2017 |
| Untertitel | Proceedings of the 2017 ACM International Conference on Multimedia Retrieval |
| Seiten | 452-456 |
| Seitenumfang | 5 |
| ISBN (elektronisch) | 9781450347013 |
| Publikationsstatus | Veröffentlicht - 6 Juni 2017 |
| Veranstaltung | 17th ACM International Conference on Multimedia Retrieval, ICMR 2017 - Bucharest, Rumänien Dauer: 6 Juni 2017 → 9 Juni 2017 |
Abstract
The diffusion of digital photography lets people take hundreds of photos during personal events, such as trips and ceremonies. Many methods have been developed for summarizing such large personal photo collections. However, they usually emphasize the coverage of the original collection, without considering which photos users would select, i.e. their expectations. In this paper we present Expo, a system that aims at selecting which photos users perceive as most important and would have selected, thus meeting their expectations. It does not rely on any manually provided annotation, thus keeping the effort of users low. Photos are processed by applying a wide set of image processing techniques and a subset of a required size is selected. Users can review and modify the automatic selection. The system can also be used to gather training data by letting users select their preferred photos from the imported collections.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Mensch-Maschine-Interaktion
- Informatik (insg.)
- Software
- Informatik (insg.)
- Computergrafik und computergestütztes Design
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ICMR 2017: Proceedings of the 2017 ACM International Conference on Multimedia Retrieval. 2017. S. 452-456.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Expo
T2 - 17th ACM International Conference on Multimedia Retrieval, ICMR 2017
AU - Ceroni, Andrea
AU - Solachidis, Vassilios
AU - Niederée, Claudia
AU - Papadopoulou, Olga
AU - Mezaris, Vasileios
N1 - Publisher Copyright: © 2017 ACM. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/6/6
Y1 - 2017/6/6
N2 - The diffusion of digital photography lets people take hundreds of photos during personal events, such as trips and ceremonies. Many methods have been developed for summarizing such large personal photo collections. However, they usually emphasize the coverage of the original collection, without considering which photos users would select, i.e. their expectations. In this paper we present Expo, a system that aims at selecting which photos users perceive as most important and would have selected, thus meeting their expectations. It does not rely on any manually provided annotation, thus keeping the effort of users low. Photos are processed by applying a wide set of image processing techniques and a subset of a required size is selected. Users can review and modify the automatic selection. The system can also be used to gather training data by letting users select their preferred photos from the imported collections.
AB - The diffusion of digital photography lets people take hundreds of photos during personal events, such as trips and ceremonies. Many methods have been developed for summarizing such large personal photo collections. However, they usually emphasize the coverage of the original collection, without considering which photos users would select, i.e. their expectations. In this paper we present Expo, a system that aims at selecting which photos users perceive as most important and would have selected, thus meeting their expectations. It does not rely on any manually provided annotation, thus keeping the effort of users low. Photos are processed by applying a wide set of image processing techniques and a subset of a required size is selected. Users can review and modify the automatic selection. The system can also be used to gather training data by letting users select their preferred photos from the imported collections.
KW - Coverage
KW - Image importance
KW - Photo selection
KW - User expectations
UR - http://www.scopus.com/inward/record.url?scp=85021845971&partnerID=8YFLogxK
U2 - 10.1145/3078971.3079011
DO - 10.1145/3078971.3079011
M3 - Conference contribution
AN - SCOPUS:85021845971
SP - 452
EP - 456
BT - ICMR 2017
Y2 - 6 June 2017 through 9 June 2017
ER -