Semantic Web for Content Based Video Retrieval
This paper aims to provide a semantic web based video search engine. Currently, we do not have scalable integration platforms to represent extracted features from videos, so that they could be indexed and searched. The task of indexing extracted features from videos is a difficult challenge, due to the diverse nature of the features and the temporal dimensions of videos. We present a semantic web based framework for automatic feature extraction, storage, indexing and retrieval of videos. Videos are represented as interconnected set of semantic resources. Also, we suggest a new ranking algorithm for finding related resources which could be used in a semantic web based search engine.