Peng Wu
ABSTRACT
We investigate the discovery of social clusters from consumer photo collections. People's participation in various social activities is the base on which social clusters are formed. The photos that record those social activities can reflect the social structure of people to a certain degree, depending on the extent of coverage of the photos on the social activities. In this paper, we propose a scheme to construct a weighted undirected graph from photo collections by examining the co-appearance of individuals in photos, wherein the weights of edges are measures of the social closeness of the involved individuals (vertices in the graph). We further apply a graph clustering algorithm that maximizes the modularity of the graph partition to detect the embedded social clusters. The experiment results demonstrate that this scheme can reveal the social cluster with high precision rate. In addition, we also introduce a few photo management capabilities enabled by the social graph and discovered social clusters.
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Digital Library
- Gu, Liexian; Zhang, Tong; Ding, Xiaoqing. Clustering consumer photos based on face recognition. Proc. of IEEE International Conference on Multimedia and Expo, pp.1998 -- 2001, Beijing, July 2007Google ScholarCross Ref
- Newman, M. E. J. 2006. Finding community structure in networks using the eigenvectors of matrices. Phys. Rev. E 74, 036104.Google ScholarCross Ref
- Rowe, Ryan; Creamer, German; Hershkop, Shlomo; Stolfo, Salvatore J. Automated social hierarchy detection through email network analysis. Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis, August 2007 Google ScholarDigital Library
- Stone, Z.; Zickler, T.; Darrell, T.. Autotagging Facebook: Social network context improves photo annotation," Computer Vision and Pattern Recognition Workshops, June 2008.Google Scholar
- Wu, Peng; Ding, Weimin; Mao, Zhidong; Tretter, Dan. Close&Closer: Discover Social Relationship from Photo Collections. ICME Workshop on Media Information Analysis for Personal and Social Applications, 2009. Google ScholarDigital Library
Index Terms
- Close & closer: social cluster and closeness from photo collections
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