Ontology-based annotation for semantic multimedia retrieval

Numerous educational video lectures, CCTV surveillance, transport and other types have upgraded the impact of multimedia video content. In order to make large video databases realistic, video data has to be automatically indexed in order to search and retrieve relevant material. An annotation is a markup reference made to data in video in order to improve the video accessibility. Video annotation is used to examine the massive quantity of multimedia data in the repositories. Video annotation refers to the taking out of significant data present in video and placing this data to the video can benefit in "retrieval, browsing, analysis, searching comparison and categorization". Video annotation implies taking out of data and to attach such metadata to the video which will "accelerate the retrieval speed, ease of access, analysis and categorization". It permits fast and better understanding of video content and improves the performance of retrieval and decreases human time & efforts for better study of videos. Video annotation is imperative technique that assists in video access. Proposed system provides effortless access to the data of the video and decrease the time necessary to access and evaluate the video. Ontology-based video annotation helps the user to get the semantic information from video, which is essential to search the needful data from a video. (C) 2016 Published by Elsevier B.V.