Abstract
We present a statistical model for organizing image collections which integrates semantic information provided by associated text and visual information provided by image features. The model is very promising for information retrieval tasks such as database browsing and searching for images based on text and/or image features. Furthermore, since the model learns relationships between text and image features, it can be used for novel applications such as associating words with pictures and unsupervised learning for object recognition.
Original language | English (US) |
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Pages | 408-415 |
Number of pages | 8 |
State | Published - 2001 |
Externally published | Yes |
Event | 8th International Conference on Computer Vision - Vancouver, BC, United States Duration: Jul 9 2001 → Jul 12 2001 |
Other
Other | 8th International Conference on Computer Vision |
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Country/Territory | United States |
City | Vancouver, BC |
Period | 7/9/01 → 7/12/01 |
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition