In order to construct a news database with a function of video on demand (VOD), it is required to classify news articles into topics. In this paper, we propose a method to automatically index and classify TV news articles into 10 topics based on a speech dictation techniques using speaker independent triphone HMMs and word bigram.

WWW Video Search Engines have become increasingly commonplace within the last few years and at the same time video retrieval research has been receiving more attention with the annual TRECVid series of workshops. In this paper we evaluate methods of relevance feedback for video search engines operating over TV news data. We show for both video shots and TV news stories, that an optimal number o...

This study characterizes the prosodic structure of the TV news speaking style in Brazil and compares it to the speech of interview subjects on a television talk show. Fifteen distinct metrics, designed to characterize both temporal and melodic characteristics of speech, were evaluated on the two speaking styles. The results of the analysis show that the TV news speaking style is characterized b...

This paper proposes a method to classify automatically TV sports news articles using image processing and classification techniques. The classification algorithm of TV sports news articles is based on a multiple subspace method that provides a sports category with more than one subspaces corresponding to the typical scenes. The classification is performed without recognizing any objects in an i...

Politician speaker turn detection in TV Broadcast News shows is addressed in this paper. Politician speech model combines acoustical and lexical cues as well as contextual information, and does not use any specific politician model (person-independent). Politician speaker turn detection is coupled with an automatic role labeling step, which determines the contextual information and the set on w...

We describe an on-going project whose primary aim is to establish the technology of producing closed captions for TV news programs efficiently using natural language processing and speech recognition techniques for the benefit of the hearing impaired in Japan. The project is supported by the Telecommunications Advancement Organisation of Japan with the help of the ministry of Posts and Telecomm...

The “Físchlár” systems are a family of tools for capturing, analysis, indexing, browsing, searching and summarisation of digital video information. Físchlár-News-Stories, described in this paper, is one of those systems, and provides access to a growing archive of broadcast TV news. Físchlár-News-Stories has several notable features including the fact that it automatically records TV news and s...