AutoAlbum: Clustering Digital Photographs Using Probabilistic Model Merging

Author

John C. Platt, CCSP Group, Microsoft Research

Reference

IEEE Workshop on Content-Based Access of Image and Video Libraries 2000, pp. 96-100, (2000). 

Abstract

Consumers need help finding digital photographs in their personal collections. AutoAlbum helps users find their photos by automatically clustering photos into albums. The albums are presented in an easy-to-use browsing user interface. AutoAlbum uses the time and order of photo creation to assist in clustering: albums consist of temporally contiguous photos. The content-based clustering algorithm is best-first probabilistic model merging, which is fast and yields clusters that are often semantically meaningful.

Keywords

digital photography, AutoAlbum, image browsing, image clustering, model merging

Paper Links

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