Content-based photo album management using faces' arrangement

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations


Photo album management, an application of content-based image browsing/retrieval, has attracted much attention in recent years. Identities of individuals appearing in the photos are the most important aspect for photo browsing. However, face recognition generally doesn 't work effectively in such situation due to the large variations in pose, illumination and sometimes poor quality of images. In this paper, we present a system for browsing photo albums. The system automatically detects and stores information about the locations of faces in the photos. A similarity function based on face arrangement is defined. Photos are then clustered based on the similarity function using a clustering algorithm proposed in this paper. The system also represents photos of an event using a composite image. The composite image is built from representative faces and an image that represents the event. Experiments indicate that the face arrangement features are effective in representing the semantic content of the photos and are appropriate for photo albums.

Original languageEnglish (US)
Title of host publication2004 IEEE International Conference on Multimedia and Expo (ICME)
Number of pages4
StatePublished - Dec 1 2004
Event2004 IEEE International Conference on Multimedia and Expo (ICME) - Taipei, Taiwan, Province of China
Duration: Jun 27 2004Jun 30 2004

Publication series

Name2004 IEEE International Conference on Multimedia and Expo (ICME)


Other2004 IEEE International Conference on Multimedia and Expo (ICME)
Country/TerritoryTaiwan, Province of China

ASJC Scopus subject areas

  • Engineering(all)


Dive into the research topics of 'Content-based photo album management using faces' arrangement'. Together they form a unique fingerprint.

Cite this