Classification of sport videos using edge-based features and autoassociative neural network models

Conference/Journal
Springer-Verlag
Authors
C. Krishna Mohan B Yegnanarayana
BibTex
Abstract
Abstract In this paper, we propose a method for classification of sport videos using edge- based features, namely edge direction histogram and edge intensity histogram. We demonstrate that these features provide discriminative information useful for classification of sport videos, by considering five sports categories, namely, cricket, football, tennis, basketball and volleyball. The ability of autoassociative neural network (AANN) models to capture the distribution of feature vectors is exploited, to develop class-specific models ...