ANSES: Summarisation of News Video

Pickering, Marcus Jerome; Wong, Lawrence C.; Rüger, Stefan

doi:10.1007/3-540-45113-7_42

Cited by 29 publications

(17 citation statements)

References 12 publications

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“…Work has also been done using errorful transcripts, by adopting techniques for general text summarisation (as is apparently the case in Pickering et al, 2003).…”

Section: Summarisationmentioning

confidence: 99%

Tools for Searching, Annotation and Analysis of Speech, Music, Film and Video A Survey

Marsden

Mackenzie

Lindsay

et al. 2007

Literary and Linguistic Computing

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This paper examines the actual and potential use of software tools in research in the arts and humanities focussing on audiovisual materials such as recorded speech, music, video and film. The quantity of such materials available to researchers is massive and rapidly expanding. Researchers need to locate the material of interest in the vast quantity available, and to organise and process the material once collected. Locating and organising often depend on metadata and tags to describe the actual content, but standards for metadata for audiovisual materials are not widely adopted. Content-based

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“…Work has also been done using errorful transcripts, by adopting techniques for general text summarisation (as is apparently the case in Pickering et al, 2003).…”

Section: Summarisationmentioning

confidence: 99%

Tools for Searching, Annotation and Analysis of Speech, Music, Film and Video A Survey

Marsden

Mackenzie

Lindsay

et al. 2007

Literary and Linguistic Computing

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“…Text features plays an important role in video summarization as it contains detailed information about the video content. Pickering et al [4] make summarization of television news by using the accompanying subtitles. They extract news stories from the video and provide a summary for each story by using lexical chain analysis.…”

Section: Introductionmentioning

confidence: 99%

Summarization of Documentaries

Demirtas

Çiçekli

Cicekli

2010

Lecture Notes in Electrical Engineering

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Abstract. Video summarization algorithms present condensed versions of a full length video by identifying the most significant parts of the video. In this paper, we propose an automatic video summarization method using the subtitles of videos and text summarization techniques. We identify significant sentences in the subtitles of a video by using text summarization techniques and then we compose a video summary by finding the video parts corresponding to these summary sentences.

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“…Pickering et al [7] focus their research on content-based access to news videos in extracting keyframes and summarising shots to stories based on the similarity of the captured teletext of each shot. Their web based interface provides browsing and seeking facilities.…”

Section: Introductionmentioning

confidence: 99%

A News Video Retrieval Framework for the Study of Implicit Relevance Feedback

Anagnostopoulos

Anagnostopoulos²

2007

Second International Workshop on Semantic Media Adaptation and Personalization (SMAP 2007)

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In this paper, we propose a framework for recording, analysing, indexing and retrieving news videos such as the BBC One O'Clock News. We believe that such a framework will be useful to identify implicit indicators of relevance, a nearly untouched area in adaptive multimedia retrieval. Due to its advantages as a web application and its up-todate content, it can be a promising approach to motivate a broad quantity of users to interact with the system.

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ANSES: Summarisation of News Video

Cited by 29 publications

References 12 publications

Tools for Searching, Annotation and Analysis of Speech, Music, Film and Video A Survey

Tools for Searching, Annotation and Analysis of Speech, Music, Film and Video A Survey

Summarization of Documentaries

A News Video Retrieval Framework for the Study of Implicit Relevance Feedback

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