Enriching videos with light semantics

Choudhury, Smitashree and Breslin, John G. (2010). Enriching videos with light semantics. In: Fourth International Conference on Advances in Semantic Processing (SEMAPRO 2010), 25-30 Oct 2010, Florence, Italy.

URL: http://www.thinkmind.org/index.php?view=article&ar...

Abstract

This paper describes an ongoing prototypical framework to annotate and retrieve web videos with light semantics. The proposed framework reuses many existing vocabularies along with a video model. The knowledge is captured from three different information spaces (media content, context, document). We also describe ways to extract the semantic content descriptions from the existing usergenerated content using multiple approaches of linguistic processing and Named Entity Recognition, which are later identified with DBpedia resources to establish meanings for the tags. Finally, the implemented prototype is described with multiple search interfaces and retrieval processes. Evaluation on semantic enrichment shows a considerable (50% of videos) improvement in content description.

Viewing alternatives

Item Actions

Export

You can export this page using these formats

About

• Item ORO ID
• 32458
• Item Type
• Conference or Workshop Item
• Extra Information
• Published in: Proceedings of SEMAPRO 2010: The Fourth International Conference on Advances in Semantic Processing, ISBN 978-1-61208-104-5, pp. 126-131.
• Keywords
• social media; multimedia semantics; semantic web; linked open data; semantic search
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Copyright Holders
• © 2010 IARIA
• Depositing User
• Smitashree Choudhury