Photo LOI: browsing multi-user photo collections

ABSTRACT

The number of digital photographs is growing beyond the abilities of individuals to easily manage and understand their own photo collections. Photo LOI (Level of Interest) is a technique that filters, aggregates, and visualizes photographs taken by multiple users who shared temporal, spatial, and/or social context at the point of photo capture. Photo LOI enables groups of photographers to see and manipulate visualizations of their photographic activities over time and social space in order to help cluster and select photos, and enables researchers to study contextual patterns in the phototaking habits of different users and groups of users. In this paper we give a brief overview of Photo LOI's features and describe some of its applications.

REFERENCES

• 1: Matthew Cooper , Jonathan Foote , Andreas Girgensohn , Lynn Wilcox, Temporal event clustering for digital photo collections, Proceedings of the eleventh ACM international conference on Multimedia, November 02-08, 2003, Berkeley, CA, USA [doi>10.1145/957013.957093]
• 2: Marc Davis , John Canny , Nancy Van House , Nathan Good , Simon King , Rahul Nair , Carrie Burgener , Bruce Rinehart , Rachel Strickland , Guy Campbell , Scott Fisher , Nick Reid, MMM2: mobile media metadata for media sharing, Proceedings of the 13th annual ACM international conference on Multimedia, November 06-11, 2005, Hilton, Singapore [doi>10.1145/1101149.1101199]
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INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.1 Content Analysis and Indexing
          Subjects: Indexing methods

Additional Classification:
  H. Information Systems
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.2 User Interfaces (D.2.2, H.1.2, I.3.6)

General Terms:
Algorithms, Design, Experimentation, Management

Keywords:
level of interest, photographs, social trends