Lexicon-based Browsers for Searching in News Video Archives
| Authors |
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|---|---|
| Publication date | 2006 |
| Book title | Proceedings IEEE International Conference on Pattern Recognition (ICPR) |
| Event | ICPR2006 |
| Pages (from-to) | 1256-1259 |
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| Abstract |
In this paper we present the methods and visualizations used in the
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. The search system is evaluated within the TRECVID benchmark. We obtain a top-3 result for 19 out of 24 search topics. In addition, we obtain the highest mean average precision of all search participants. |
| Document type | Conference contribution |
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