In this paper, a system for automatic albuming of consumer photographs is described and its specific core components of event segmentation and screening of low quality images are discussed. A novel event segmentation algorithm was created to automatically cluster pictures into events and sub-events for albuming, based on date/time meta data information as well as color content of the pictures. A new quality-screening is developed based on object quality to detect problematic images due to underexposure, low contrast, and camera defocus or movement. Performance testing of these algorithms was conducted using a database of real consumer photos and showed that these functions provide a useful first-cut album layout for typical rolls of consumer pictures. A first version of the automatic albuming application software was tested through a consumer trial in the United States from August to December 1999.

Publication Date



"Automatic image event segmentation and quality screening for albuming applications," 2000 IEEE International Conference on Multimedia and Expo, 2000 (ICME 2000). The Institute of Electrical and Electronics Engineers. Held in New York, New York: 30 July - 2 August 2000. ©2000 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. The authors would like to thank E. Pavie for his role in the development of the event segmentation algorithm and C. Judice for supporting this project. ISBN:0-7803-6536-4Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2014.

Document Type


Department, Program, or Center

Chester F. Carlson Center for Imaging Science (COS)


RIT – Main Campus