Image-Based Multiclass Boosting and Echocardiographic View Classification
- 10 July 2006
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2 (10636919) , 1559-1565
- https://doi.org/10.1109/cvpr.2006.146
Abstract
We tackle the problem of automatically classifying cardiac view for an echocardiographic sequence as a multiclass object detection. As a solution, we present an imagebased multiclass boosting procedure. In contrast with conventional approaches for multiple object detection that train multiple binary classifiers, one per object, we learn only one multiclass classifier using the LogitBoosting algorithm. To utilize the fact that, in the midst of boosting, one class is fully separated from the remaining classes, we propose to learn a tree structure that focuses on the remaining classes to improve learning efficiency. Further, we accommodate the large number of background images using a cascade of boosted multiclass classifiers, which is able to simultaneously detect and classify multiple objects while rejecting the background class quickly. Our experiments on echocardiographic view classification demonstrate promising performances of image-based multiclass boosting.Keywords
This publication has 12 references indexed in Scilit:
- Rapid object detection using a boosted cascade of simple featuresPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Learning methods for generic object recognition with invariance to pose and lightingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Sharing features: efficient boosting procedures for multiclass object detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- FloatBoost learning and statistical face detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Affine-invariant local descriptors and neighborhood statistics for texture recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- A general framework for object detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- The Elements of Statistical LearningPublished by Springer Nature ,2001
- Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)The Annals of Statistics, 2000
- Object recognition from local scale-invariant featuresPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1999
- Arrangement: a spatial relation between parts for evaluating similarity of tomographic sectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1995