DocumentCode
2314119
Title
Automatically organizing digital photographs using time and content
Author
Cooper, Matthew ; Foote, Jonathan ; Girgensohn, Andreus
Author_Institution
FX Palo Alto Lab., CA, USA
Volume
3
fYear
2003
fDate
14-17 Sept. 2003
Abstract
We present similarity-based methods to cluster digital photos by time and image content. This approach is general, unsupervised, and makes minimal assumptions regarding the structure or statistics of the photo collection. We describe versions of the algorithm using temporal similarity with and without content-based similarity, and compare the algorithms with existing techniques, measured against ground-truth clusters created by humans.
Keywords
image segmentation; photography; statistical analysis; content-based similarity; digital photographs; ground-truth clusters; similarity-based methods; Clustering algorithms; Digital cameras; Discrete cosine transforms; Humans; Laboratories; Marine vehicles; Oceans; Organizing; Sea measurements; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-7750-8
Type
conf
DOI
10.1109/ICIP.2003.1247353
Filename
1247353
Link To Document