HPL-2010-32Consumer Image Retrieval by Estimating Relation Tree From Family Photo Collections
Zhang, Tong; Chao, Hui; Willis, Chris; Tretter, Dan
Keyword(s): Consumer image retrieval, family relation tree, face analysis, face clustering, demographic assessment, and social networking
Abstract: In this paper, we propose an approach to automatically estimate relationship among people in a family image collection based on results from face analyses technologies including automated face recognition and clustering, demographic assessment, and face similarity measurement, as well as contextual information such as people co-appearance, people's relative positions in photos and image timestamps. As the result, a relation tree can be estimated which provides important semantic information regarding people involved in a photo collection and has numerous applications in photo sharing and browsing, social networking, etc. The methods for deriving and integrating information from photos and the process for estimating a relation tree are described. Experimental results on two typical consumer photo collections and examples of using these results in consumer image retrieval are presented.
External Posting Date: March 6, 2010 [Abstract Only]. Approved for External Publication - External Copyright Consideration
Internal Posting Date: March 6, 2010 [Fulltext]