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- W1773617179 abstract "Describing multimedia content in general and TV programs in particular is a hard problem. Relying on subtitles to extract named entities that can be used to index fragments of a program is a common method. However, this approach is limited to what is being said in a program and written in a subtitle, therefore lacking a broader context. Furthermore, this type of index is restricted to a flat list of entities. In this paper, we combine the power of non-structured documents with structured data coming from DBpedia to generate a much richer, context aware metadata of a TV program. We demonstrate that we can harvest a rich context by expanding an initial set of named entities detected in a TV fragment. We evaluate our approach on a TV news show." @default.
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- W1773617179 date "2014-04-07" @default.
- W1773617179 modified "2023-09-24" @default.
- W1773617179 title "Describing and contextualizing events in TV news show" @default.
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- W1773617179 doi "https://doi.org/10.1145/2567948.2579326" @default.
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