Introducing New Meta Search Model through Content based Image Retrieval Algorithm

Abstract

This paper presents an approach to model content based metasearch engine which search all the content related images present in the dataset. Searching through the keywords in an image database require a lot of Meta data (keywords about the image) to be stored for each image in a separate database. This does not lead to an effective search mechanism. This mechanism basically works for the relevant output for the input query image. The process based on the image extraction by the implemented functions like "edge histogram", "image feature extraction i.e. sharpness, smoothness, color etc.