MediaMill: exploring news video archives based on learned semantics

In this technical demonstration we showcase the MediaMill system. A search engine that facilitates access to news video archives at a semantic level. The core of the system is an unprecedented lexicon of 100 automatically detected semantic concepts. Based on this lexicon we demonstrate how users can obtain highly relevant retrieval results using query-byconcept. In addition, we show how the lexicon of concepts can be exploited for novel applications using advanced semantic visualizations. Several aspects of the MediaMill system are evaluated as part of our TRECVID 2005 efforts. Categories and Subject Descriptors: H.3.3 Information Storage and Retrieval: Information Search and Retrieval General Terms: Algorithms, Experimentation, Performance

• Type: Conference
• Year: 2005
• Where: MM
• Authors: Cees Snoek, Marcel Worring, Jan van Gemert, Jan-Mark Geusebroek, Dennis Koelma, Giang P. Nguyen, Ork de Rooij, Frank J. Seinstra
• Keywords: Advanced Semantic Visualizations, Lexicon, MM 2005, Semantic