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            <title>Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC’08)</title>
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    <abstract>The majority of work described in this paper was conducted as part of the Recovering Evidence from Video by fusing Video Evidence Thesaurus and Video MetaData (REVEAL) project, sponsored by the UK’s Engineering and Physical Sciences Research Council (EPSRC). REVEAL is concerned with reducing the time-consuming, yet essential, tasks undertaken by UK Police Officers when dealing with terascale collections of video related to crime-scenes. The project is working towards technologies which will archive video that has been annotated automatically based on prior annotations of similar content, enabling rapid access to CCTV archives and providing capabilities for automatic video summarisation. This involves considerations of semantic annotation relating, amongst other things, to content and to temporal reasoning. In this paper, we describe the ontology extraction components of the system in development, and its use in REVEAL for automatically populating a CCTV ontology from analysis of expert transcripts of the video footage.</abstract>
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%0 Conference Proceedings
%T Lexical Ontology Extraction using Terminology Analysis: Automating Video Annotation
%A Newbold, Neil
%A Vrusias, Bogdan
%A Gillam, Lee
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Tapias, Daniel
%S Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC’08)
%D 2008
%8 May
%I European Language Resources Association (ELRA)
%C Marrakech, Morocco
%F newbold-etal-2008-lexical
%X The majority of work described in this paper was conducted as part of the Recovering Evidence from Video by fusing Video Evidence Thesaurus and Video MetaData (REVEAL) project, sponsored by the UK’s Engineering and Physical Sciences Research Council (EPSRC). REVEAL is concerned with reducing the time-consuming, yet essential, tasks undertaken by UK Police Officers when dealing with terascale collections of video related to crime-scenes. The project is working towards technologies which will archive video that has been annotated automatically based on prior annotations of similar content, enabling rapid access to CCTV archives and providing capabilities for automatic video summarisation. This involves considerations of semantic annotation relating, amongst other things, to content and to temporal reasoning. In this paper, we describe the ontology extraction components of the system in development, and its use in REVEAL for automatically populating a CCTV ontology from analysis of expert transcripts of the video footage.
%U https://aclanthology.org/L08-1270/

Markdown (Informal)

[Lexical Ontology Extraction using Terminology Analysis: Automating Video Annotation](https://aclanthology.org/L08-1270/) (Newbold et al., LREC 2008)

• Lexical Ontology Extraction using Terminology Analysis: Automating Video Annotation (Newbold et al., LREC 2008)

ACL

• Neil Newbold, Bogdan Vrusias, and Lee Gillam. 2008. Lexical Ontology Extraction using Terminology Analysis: Automating Video Annotation. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), Marrakech, Morocco. European Language Resources Association (ELRA).