Extracting metadata from digital multimedia is a challenging task. This is because there are diversified types of media (document, audio, video, etc.) available over the Internet. With the advent of Web2.0, people are adding new media on their websites on a daily basis. Searching those media of diversified types and automatically finding metadata poses more challenges. In this research track, we will address the challenge of automatically searching and indexing media from different sources of Internet and then automatically extracting metadata from those media types. We will be designing algorithms and an automated multimedia metadata extraction tool that will be deployed in a real life scenario to show a proof of concept.
