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View all- Ward NWerner SGarcia FSanchis E(2015)A prosody-based vector-space model of dialog activity for information retrievalSpeech Communication10.1016/j.specom.2015.01.00468:C(85-96)Online publication date: 1-Apr-2015
Experiments with Segmentation Strategies for Passage Retrieval in Audio-Visual Documents
Pages 217 - 224
Abstract
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 boundaries based 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.
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- Experiments with Segmentation Strategies for Passage Retrieval in Audio-Visual Documents
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April 2014
564 pages
ISBN:9781450327824
DOI:10.1145/2578726
- Conference Chairs:
- Mohan Kankanhalli,
- Stefan Rueger,
- R. Manmatha,
- General Chairs:
- Joemon Jose,
- Keith van Rijsbergen
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Published: 01 April 2014
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View all- Ward NWerner SGarcia FSanchis E(2015)A prosody-based vector-space model of dialog activity for information retrievalSpeech Communication10.1016/j.specom.2015.01.00468:C(85-96)Online publication date: 1-Apr-2015
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