Learning the semantics of words and pictures
- Resource Type
- Conference
- Authors
- Barnard, K.; Forsyth, D.
- Source
- Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 Computer vision Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on. 2:408-415 vol.2 2001
- Subject
- Computing and Processing
Signal Processing and Analysis
Image databases
Image retrieval
Spatial databases
Unsupervised learning
Object recognition
Statistics
Predictive models
Image segmentation
Organizing
Information retrieval
- Language
We present a statistical model for organizing image collections which integrates semantic information provided by associate 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.