Movies genres classifier using neural network
Sanjay K. Jain, Rakesh Singh Jadon · 2009
In this paper we have designed a neural network based movie genres classifier. The Movie classifier characterizes the movie clips into different movie genres. The characterization is based on low level audio-visual features. We have extracted the computable audio-visual features from the movie clips which are inspired by the techniques and film grammars used by many filmmakers to endow specific characteristics to a genre. The extracted visual features are shot length, motion, color dominance and lighting key and the extracted audio features are based on time domain, pitch, frequency domain, energy and MFCC. Movie classifier is designed using feed forward neural network with back propagation learning algorithm. We have demonstrated the effectiveness of the classifier for characterizing the movie clips into action, horror, comedy, music and drama genres.