Semantic Web for Content Based Video Retrieval

Date Added: Jun 2009
Format: PDF

This paper aims to provide a semantic web based video search engine. Currently, the authors 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. This paper presents a semantic web based framework for automatic feature extraction, storage, indexing and retrieval of videos. Videos are represented as interconnected set of semantic resources.