Paper Info
Title
Automatically Analyzing Interpersonal Closeness In Photo Albums
Abstract
We study the problem of automatically discovering the interpersonal closeness between people from a personal photo album in this paper. The work is divided into two parts, the first part is the automatical detection of person figures and the identity annotation, while the second part is the analysis of the interpersonal closeness between identities. The detection of person figures is solved by the cooperation of a face detector and a person detector. Similarities between pairs of person figures are calculated by face verification and color descriptor matching, and a greedy stratagem is used for identity assignment. The second part of the work is a ranking process in which for each identity the other identities are ranked by his( her) closeness to them. The algorithm aims at analyzing and ranking interpersonal closeness according to the image information extracted from the album. The image information used by our method includes co-appearing frequencies of persons, order distances between person figures and the number of persons in each photo. We build a new database for this work. Experiments on our database show that our method is effective especially for finding the closest persons. The closeness rankings can be used to do further interpersonal relationship analyses such as discovering subgroups and finding the most active members.
Year
DOI
Venue
2016
10.1007/978-3-319-46418-3_25
COMPUTER VISION AND GRAPHICS, ICCVG 2016
Keywords
Field
DocType
Identity annotation, Interpersonal closeness, Ranking
Face verification,Interpersonal communication,Annotation,Pattern recognition,Ranking,Information retrieval,Closeness,Computer science,Interpersonal relationship,Artificial intelligence
Conference
Volume
ISSN
Citations 
9972
0302-9743
0
PageRank 
References 
Authors
0.34
14
4
Name
Order
Citations
PageRank
Gaocheng Bai1101.15
Jiansheng Chen227331.28
Bo Huang310.76
zhengqin li4525.82