The mediamill large.lexicon concept suggestion engine

In this technical demonstration we show the current version of the MediaMill system, a search engine that facilitates access to news video archives at a semantic level. The core of the system is a lexicon of 436 automatically detected semantic concepts. To handle such a large lexicon in retrieval, an engine is developed which automatically selects a set of relevant concepts based on the textual query and example images. The result set can be browsed easily to obtain the final result for the query. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval—Search process General Terms Algorithms, Experimentation, Human Factors, Performance Keywords Semantic indexing, video retrieval, information visualization

• Type: Conference
• Year: 2006
• Where: MM
• Authors: Marcel Worring, Cees G. M. Snoek, Bouke Huurnink, Jan van Gemert, Dennis Koelma, Ork de Rooij
• Keywords: Keywords Semantic Indexing, MM 2006, Semantic, Semantic Concepts