Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015 |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (elektronisch) | 9781479970797 |
| Publikationsstatus | Veröffentlicht - 28 Juli 2015 |
| Veranstaltung | 2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015 - Turin, Italien Dauer: 29 Juni 2015 → 3 Juli 2015 |
Publikationsreihe
| Name | 2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015 |
|---|
Abstract
Photos are excellent means for keeping and refreshing memories. Digital photography, however, imposes new challenges for keeping photos accessible on the long run due to threats such as hard disk crashes, format changes, or storage medium decay. Safe long-term preservation, ensuring the longevity of photos, comes at a cost, suggesting a restriction of this investment to the most valuable photos. Therefore, understanding how people behave when selecting their most valuable photos from large collections is an important first step towards the development of automatic preservation approaches. In this paper, we conduct a user study of 35 participants in selecting personal photos for long-term preservation. The results of the study provide insights for the photo selection process. In addition, we propose a photo selection method based on machine learning and compared human selections with leading edge clustering techniques, highlighting significant issues in emulating human decision patterns.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Computernetzwerke und -kommunikation
- Ingenieurwesen (insg.)
- Medientechnik
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2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7169750 (2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Investigating human behaviors in selecting personal photos to preserve memories
AU - Ceroni, Andrea
AU - Solachidis, Vassilis
AU - Fu, Mingxin
AU - Kanhabua, Nattiya
AU - Papadopoulou, Olga
AU - Niederee, Claudia
AU - Mezaris, Vasileios
PY - 2015/7/28
Y1 - 2015/7/28
N2 - Photos are excellent means for keeping and refreshing memories. Digital photography, however, imposes new challenges for keeping photos accessible on the long run due to threats such as hard disk crashes, format changes, or storage medium decay. Safe long-term preservation, ensuring the longevity of photos, comes at a cost, suggesting a restriction of this investment to the most valuable photos. Therefore, understanding how people behave when selecting their most valuable photos from large collections is an important first step towards the development of automatic preservation approaches. In this paper, we conduct a user study of 35 participants in selecting personal photos for long-term preservation. The results of the study provide insights for the photo selection process. In addition, we propose a photo selection method based on machine learning and compared human selections with leading edge clustering techniques, highlighting significant issues in emulating human decision patterns.
AB - Photos are excellent means for keeping and refreshing memories. Digital photography, however, imposes new challenges for keeping photos accessible on the long run due to threats such as hard disk crashes, format changes, or storage medium decay. Safe long-term preservation, ensuring the longevity of photos, comes at a cost, suggesting a restriction of this investment to the most valuable photos. Therefore, understanding how people behave when selecting their most valuable photos from large collections is an important first step towards the development of automatic preservation approaches. In this paper, we conduct a user study of 35 participants in selecting personal photos for long-term preservation. The results of the study provide insights for the photo selection process. In addition, we propose a photo selection method based on machine learning and compared human selections with leading edge clustering techniques, highlighting significant issues in emulating human decision patterns.
KW - Digital Preservation
KW - Human Expectations
KW - Long-term Memories
KW - Photo Selection
UR - http://www.scopus.com/inward/record.url?scp=84945543860&partnerID=8YFLogxK
U2 - 10.1109/ICMEW.2015.7169750
DO - 10.1109/ICMEW.2015.7169750
M3 - Conference contribution
AN - SCOPUS:84945543860
T3 - 2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015
BT - 2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015
Y2 - 29 June 2015 through 3 July 2015
ER -