PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Semantic concept detection from news videos with self-organizing maps
Markus Koskela and Jorma Laaksonen
In: 3rd IFIP Conference on Artificial Intelligence Applications and Innovations, 7-9 June 2006, Athens, Greece.


In this paper, we consider the automatic identification of video shots that are relevant to a given semantic concept from large video databases. We apply a method of representing semantic concepts as class models on a set of parallel Self-Organizing Maps trained with multimodal low-level features. The presented experiments were conducted using a set of 170 hours of video containing recorded television news programs.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
Multimodal Integration
Information Retrieval & Textual Information Access
ID Code:2583
Deposited By:Jorma Laaksonen
Deposited On:14 February 2008