Intelligent Systems Lab Amsterdam

video search engine

The semantic video search engine is bridging the gap between research and applications. It integrates the state-of-the-art techniques developed at the Intelligent Systems Lab Amsterdam of the University of Amsterdam and applies it to realistic problems in video indexing.

The techniques employed in Impala originate from various disciplines such as image and video processing, computer vision, language technology, machine learning and information visualization. To ensure state-of-the-art competitiveness, MediaMill participates in the yearly TRECVID benchmark.

The MuNCH project

In the MuNCH project - part of the CATCH projects by NWO - we aim to deliver a working video retrieval system to the Beeld en Geluid national (video)archive. A first version is planned for at the end of 2006 making use of the engines for video analysis and interaction. In the MuNCH, we cooperate with Maarten de Rijke on natural language processing, with Guus Schreiber on ontologies of video material, and of course with Beeld en Geluid, Annemieke de Jong providing the basic material.

Participants

• Jan van Gemert
• Jan-Mark Geusebroek
• Arnold Smeulders (contact MuNCH+VidiVideo)
• Cees Snoek (contact TRECVID)
• Marcel Worring (contact MediaMill)