Paper Info
Title
To Keep or not to Keep: An Expectation-oriented Photo Selection Method for Personal Photo Collections
Abstract
When selecting important photos from a personal photo collection - e.g. for creating an enjoyable sub-collection for revisiting or preservation - photos are not considered in isolation. Therefore, collection-level criteria are also taken into account by automated photo selection methods. However, the typical two-step process of first clustering and subsequently picking from the clusters seems to overstress coverage as a criterion when applied to the task of selecting the photos most important to a user. We, therefore, propose a novel expectation-oriented photo selection method, which combines a variety of collection-level and image-level selection criteria in a flexible way. In our evaluation, which is based on large real-world personal photo collections with overall more than 18,000 images, we show that our method outperforms state-of-the-art photo selection methods. In addition, the proposed method does not rely on any manual annotations, making it applicable in realistic settings of personal photo collections.
Year
DOI
Venue
2015
10.1145/2671188.2749372
ICMR '15: International Conference on Multimedia Retrieval Shanghai China June, 2015
Keywords
Field
DocType
Photo Selection, User Expectations, Clustering, Coverage
User expectations,Information retrieval,Computer science,Artificial intelligence,Cluster analysis,Multimedia,Machine learning
Conference
ISBN
Citations 
PageRank 
978-1-4503-3274-3
11
0.62
References 
Authors
15
6
Name
Order
Citations
PageRank
Andrea Ceroni1547.52
Vassilios Solachidis214512.08
Claudia Niederée3343.50
Olga Papadopoulou4303.75
Nattiya Kanhabua534626.35
Vasileios Mezaris680381.40