Efficient Automatic Image Annotation Using Optimized Weighted Complementary Feature Fusion Using Genetic Algorithm

Retrieval of images of user's interest from a large database is complex since the image content is defined on different features as color,texture,shape. And we can combine these features to give a single feature vector that represents an image. In conventional methods, equal weights are taken for each feature and this will increase the feature dimensionality and certain image features will override the feature that the user is really interested on a particular image. So, to overcome these problems, in this paper, weights of different features should be assigned appropriately using Genetic algorithm(GA) similar to human perception which gives an optimized feature vector of each image.