Back to Search
Start Over
Recognizing image 'style' and activities in video using local features and naive Bayes
- Source :
- Pattern Recognition Letters. 24:2913-2922
- Publication Year :
- 2003
- Publisher :
- Elsevier BV, 2003.
-
Abstract
- The goal of this paper is to offer a framework for classification of images and video according to their "type", or "style"--a problem which is hard to define, but easy to illustrate; for example, identifying an artist by the Style of his/ her painting, or determining the activity in a video sequence. The paper offers a simple classification paradigm based on local properties of spatial or spatio-temporal blocks. The learning and classification are based on the naive Bayes classifier. A few experimental results are presented.
- Subjects :
- business.industry
Computer science
Machine learning
computer.software_genre
Style (sociolinguistics)
Image (mathematics)
Naive Bayes classifier
ComputingMethodologies_PATTERNRECOGNITION
Artificial Intelligence
Signal Processing
Computer Vision and Pattern Recognition
Artificial intelligence
business
computer
Software
Simple (philosophy)
Subjects
Details
- ISSN :
- 01678655
- Volume :
- 24
- Database :
- OpenAIRE
- Journal :
- Pattern Recognition Letters
- Accession number :
- edsair.doi...........cc7012509a630f552328b9156ab8c9f6