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A New Method for Semi-Automatic Image Annotation
- Source :
- 2007 8th International Conference on Electronic Measurement and Instruments.
- Publication Year :
- 2007
- Publisher :
- IEEE, 2007.
-
Abstract
- Semantic-based image retrieval bridges the gap between visual features and human understanding of image in the field of image retrieval. Image annotation is one important technology of image retrieval based on the semantic. This paper proposed one method to realize semi-automatic image annotation with the tool Support Vector Machine (SVM). The image collection was divided into two parts, one for manual annotation and the other for testing. After being classified by SVM, the output was changed into a probability, and K-NN algorithm was applied to get the keywords for unlabeled images. The experiments show that the approach is feasible.
- Subjects :
- Contextual image classification
Computer science
business.industry
Feature extraction
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Pattern recognition
Support vector machine
Automatic image annotation
Image texture
Computer vision
Visual Word
Artificial intelligence
business
Image retrieval
Feature detection (computer vision)
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2007 8th International Conference on Electronic Measurement and Instruments
- Accession number :
- edsair.doi...........96d97033fb9fb6c6e7a5a9a50b29c316