Growing Trend from Uni-to-Multimodal Video Indexing

The ultimate challenge of the semantic multimedia database research is to provide a system that can retrieve the most relevant and semantically accurate multimedia data (image, audio, text) according to the user requirement. In order to cope with this challenge there is a need for a system that can efficiently and effectively index the multimedia data. This paper provides an overview of multimodal video indexing. It cover different aspects and issues in video indexing and the approaches that are used. The ultimate main challenge is to mind the semantic gap. The structure of this paper is as follow. The following section outlines the introduction. The section-II brings multimodal analysis of videos. Section-III is about semantic indexes. Section-IV covers content based video indexing. Section-V is about different indexing techniques that are used. The paper ends with the major research issues and problem and last section conclusion about this paper.