Mediamill: Advanced Browsing in News Video Archives

In this paper we present our Mediamill video search engine. The basis for the engine is a semantic indexing process which derives a lexicon of 101 concepts. To support the user in navigating the collection, the system defines a visual similarity space, a semantic similarity space, a semantic thread space, and browsers to explore them. It extends upon [1] with improved browsing tools. The search system is evaluated within the TRECVID benchmark [2]. We obtain a top3 result for 19 out of 24 search topics. In addition, we obtain the highest mean average precision of all search participants.

• Type: Conference
• Year: 2006
• Where: CIVR
• Authors: Marcel Worring, Cees Snoek, Ork de Rooij, Giang P. Nguyen, Richard van Balen, Dennis Koelma
• Keywords: CIVR 2006, Image Analysis, Semantic Indexing Process, Semantic Similarity Space, Similarity Space