Semantic Content Extraction Based On Homomorphic Methodology

Semantic contents are nothing but the object, event and concept instances that is present in the video. The problem is that the semantic contents cannot be easily extracted. The key issue in extracting the semantic content is its representation. In order to expand the modeling capabilities additional rules can be used. The goal of this paper is to allow the users to retrieve some useful information from large amount of data in a semantically meaningful manner. When the keyframes are being extracted from the video there is a problem of repeated frames. Inorder to avoid this problem homomorphic methodology is used,which makes the system wide domain applicable.