Paper Info
Title
Context in Photo Albums: Understanding and Modeling User Behavior in Clustering and Selection.
Abstract
Recent progress in digital photography and storage availability has drastically changed our approach to photo creation. While in the era of film cameras, careful forethought would usually precede the capture of a photo; nowadays, a large number of pictures can be taken with little effort. One of the consequences is the creation of numerous photos depicting the same moment in slightly different ways, which makes the process of organizing photos laborious for the photographer. Nevertheless, photo collection organization is important both for exploring photo albums and for simplifying the ultimate task of selecting the best photos. In this work, we conduct a user study to explore how users tend to organize or cluster similar photos in albums, to what extent different users agree in their clustering decisions, and to investigate how the clustering-defined photo context affects the subsequent photo-selection process. We also propose an automatic hierarchical clustering solution for modeling user clustering decisions. To demonstrate the usefulness of our approach, we apply it to the task of automatic photo evaluation within photo albums and propose a clustering-based context adaptation.
Year
DOI
Venue
2019
10.1145/3333612
ACM Transactions on Applied Perception
Keywords
Field
DocType
Photo albums clustering,image assessment,photo collection organization,photo selection
Information retrieval,Computer science,Theoretical computer science,Cluster analysis
Journal
Volume
Issue
ISSN
16
2
1544-3558
Citations 
PageRank 
References 
1
0.37
0
Authors
6
Name
Order
Citations
PageRank
Dmitry Kuzovkin1152.52
Tania Pouli215513.87
Olivier Le Meur347636.14
Rémi Cozot47911.72
Jonathan Kervec5163.10
Kadi Bouatouch657556.19