论文信息 - MediaMill: exploring news video archives based on learned semantics

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-by-concept. 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.

[1] Arnold W. M. Smeulders,et al. c ○ 2005 Springer Science + Business Media, Inc. Manufactured in The Netherlands. A Six-Stimulus Theory for Stochastic Texture , 2002 .

[2] Alan F. Smeaton,et al. Large Scale Evaluations of Multimedia Information Retrieval: The TRECVid Experience , 2005, CIVR.

[3] Cees G. M. Snoek. The authoring metaphor to machine understanding of multimedia , 2001 .

[4] G. P. Nguyen,et al. Similarity based vizualization of image collections , 2005 .

[5] G. P. Nguyen,et al. Similarity Based Visualization of Image Collections , 2005 .