Semantically enabled exploratory video search

Abstract

With the exponential growth of video data on the World Wide Web comes the challenge of efficient methods in video content management, content-based video search, filtering and browsing. But, video data often lacks sufficient meta-data to open up the video content and to enable pinpoint content-based search. With the advent of the 'web of data' as an extension of the current WWW new data sources can be exploited by semantically interconnecting video meta-data with the web of data. Thus, enabling better access to video repositories by deploying semantic search technologies and improving the user's search experience by supporting exploratory search strategies. We have developed the prototype semantic video search engine 'yovisto' that demonstrates the advantages of semantically enhanced exploratory video search and enables investigative navigation and browsing in large video repositories.