Paper Info
Title
How to browse through my large video data: face recognition & prioritizing for lifelog video.
Abstract
Due to the rise of lifelog cameras, we have personal video data that is too large to be watched. Video indexing has the potential to provide meta-information for faster video search. This work aims to support lifelog video indexing through automated face priority rating. In a user study, we identified parameters that allow for rating the importance of persons in a video. We implemented these findings to automatically predict the person's importance in video. We show that our algorithm predicts similar person priority ratings like the participants had given. Hence, we contribute to video-based lifelogging through indicating, implementing, and testing face indexing rules that predict how important a person in a video is perceived. Our findings can help to build video players that support users navigating through their large video data and reviewing sequences that recall important moments of life.
Year
DOI
Venue
2016
10.1145/3012709.3012713
MUM
Keywords
Field
DocType
Video navigation, lifeloging video, face detection
Facial recognition system,Lifelog,Computer science,Search engine indexing,Subjective video quality,PEVQ,Human–computer interaction,Video tracking,Face detection,Multimedia,Video quality
Conference
Citations 
PageRank 
References 
0
0.34
7
Authors
5
Name
Order
Citations
PageRank
Katrin Wolf 0001111422.35
Yomna Abdelrahman27216.86
Mathias Landwehr300.68
Geoff Ward4191.84
Albrecht Schmidt56495696.81