PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Automatic video search using semantic concepts
Ville Viitaniemi, Mats Sjöberg, Markus Koskela and Jorma Laaksonen
In: 8th European Conference on Interactive TV and Video (EuroITV 2010), Tampere, Finland(2010).

Abstract

This paper describes automatic video search using semantic concept detection, and how it is implemented in our PicSOM system. The demand for such methods is growing because of the exploding growth of digital video data produced today, ranging from professionally produced TV programming to individuals sharing videos online. Content-based methods address the problem of finding relevant information in large amounts of visual data, which by nature are very hard to search and index automatically. The semantic gap between the high-level concepts understood by humans and the low-level information of computer systems is partially bridged by modelling mid-level semantic concepts. The performance of our system is judged in the video retrieval setting of the international TRECVID 2008 and 2009 evaluations, comparing favourably with the competing state-of-the-art systems.

EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
Multimodal Integration
Information Retrieval & Textual Information Access
ID Code:8002
Deposited By:Ville Viitaniemi
Deposited On:17 March 2011