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The "Fischlar" systems are a family of tools for capturing, analysis, indexing, browsing, searching and summarisation of digital video information. Fischlar-News-Stories, described in this paper, is one of those systems, and provides access to a growing archive of broadcast TV news. Fischlar-News-Stories has several notable features including the fact that it automatically records TV news and segments a broadcast news program into stories, eliminating advertisements and credits at the start/end of the broadcast. Fischlar-News-Stories supports access to individual stories via calendar lookup, text search through closed captions, automatically-generated links between related stories, and personalised access using a personalisation and recommender system based on collaborative filtering. Access to individual news stories is supported either by browsing keyframes with synchronised closed captions, or by playback of the recorded video. One strength of the Fischlar-News-Stories system is that it is actually used, in practice, daily, to access news. Several aspects of the Fischlar systems have been published before, bit in this paper we give a summary of the Fischlar-News-Stories system in operation by following a scenario in which it is used and also outlining how the underlying system realises the functions it offers.

The Físchlár-News-Stories System: Personalised Access to an Archive of TV News