Experiments with Segmentation Strategies for Passage Retrieval in Audio-Visual Documents
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10289371" target="_blank" >RIV/00216208:11320/14:10289371 - isvavai.cz</a>
Result on the web
<a href="http://dl.acm.org/citation.cfm?doid=2578726.2578753" target="_blank" >http://dl.acm.org/citation.cfm?doid=2578726.2578753</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2578726.2578753" target="_blank" >10.1145/2578726.2578753</a>
Alternative languages
Result language
angličtina
Original language name
Experiments with Segmentation Strategies for Passage Retrieval in Audio-Visual Documents
Original language description
This paper deals with Information Retrieval from audio-visual recordings. Such recordings are often quite long and users may want to find the exact starting points of relevant passages they search for. In Passage Retrieval, the recordings are automatically segmented into smaller parts, on which the standard retrieval techniques are applied. In this paper, we discuss various techniques for segmentation of audio-visual recordings and focus on machine learning approaches which decide on segment boundariesbased on various features combined in a decision-tree model. Our experiments are carried out on the data used for the Search and Hyperlinking Task and Similar Segments in Social Speech Task of the MediaEval Benchmark 2013.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ICMR '14 Proceedings of International Conference on Multimedia Retrieval
ISBN
978-1-4503-2782-4
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
217-225
Publisher name
ACM
Place of publication
New York, NY, USA
Event location
Glasgow, UK
Event date
Apr 1, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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