Colour Histogram and Modified Multi-layer Perceptron Neural Network based Video Shot Boundary Detection

The paper proposes a shot boundary detection technique using colour histogram difference and modified Multi-Layer Perceptron (MLP). In this the learning process in the MLP is modified as an evolutionary learning process using Genetic Algorithm (GA) in which the weights of the hidden layer and output layer of the MLP are updated by GA. Colour Histogram Differences (HD) between two consecutive frames are used for feature extraction. Four values HDi, HDi-I and-l are used as an input for the modified MLP Neural Network where HD is the colour histogram difference between frame f(i) and f(i+1), HDi-I is the colour histogram difference between frame f(i-I) and f(i) and HDi+I is the colour histogram difference between frame f(i+1) and f(i+2). The propose system is tested with the TRECVid 2001 and 2007 test data and it is also compared with latest algorithms and yields better results.