Title
Expo: An Expectation-oriented System for Selecting Important Photos from Personal Collections.
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.
Year
DOI
Venue
2017
10.1145/3078971.3079011
ICMR
Keywords
Field
DocType
Photo Selection, User Expectations, Image Importance, Coverage
Training set,World Wide Web,User expectations,Digital photography,Annotation,Computer science,Image processing,TRIPS architecture,Multimedia
Conference
Citations 
PageRank 
References 
1
0.35
11
Authors
5
Name
Order
Citations
PageRank
Andrea Ceroni1547.52
Vassilios Solachidis214512.08
Claudia Niederée330426.99
Olga Papadopoulou4303.75
Vasileios Mezaris580381.40