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Cuevas Rodríguez, Carlos and García Santos, Narciso (2012). Temporal segmentation tool for high-quality real time video editing software. "IEEE Transactions on Consumer Electronics", v. 58 (n. 3); pp. 917-925. ISSN 0098-3063. https://doi.org/10.1109/TCE.2012.6311337.
Title: | Temporal segmentation tool for high-quality real time video editing software |
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Author/s: |
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Item Type: | Article |
Título de Revista/Publicación: | IEEE Transactions on Consumer Electronics |
Date: | August 2012 |
ISSN: | 0098-3063 |
Volume: | 58 |
Subjects: | |
Freetext Keywords: | Video editing software, real-time high-quality temporal segmentation, abrupt transition detection, gradual transition detection, motion analysis |
Faculty: | E.T.S.I. Telecomunicación (UPM) |
Department: | Señales, Sistemas y Radiocomunicaciones |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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The increasing use of video editing software requires faster and more efficient editing tools. As a first step, these tools perform a temporal segmentation in shots that allows a later building of indexes describing the video content. Here, we propose a novel real-time high-quality shot detection strategy, suitable for the last generation of video editing software requiring both low computational cost and high quality results. While abrupt transitions are detected through a very fast pixel-based analysis, gradual transitions are obtained from an efficient edge-based analysis. Both analyses are reinforced with a motion analysis that helps to detect and discard false detections. This motion analysis is carried out exclusively over a reduced set of candidate transitions, thus maintaining the computational requirements demanded by new applications to fulfill user needs.
Item ID: | 30534 |
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DC Identifier: | https://oa.upm.es/30534/ |
OAI Identifier: | oai:oa.upm.es:30534 |
DOI: | 10.1109/TCE.2012.6311337 |
Official URL: | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6311337 |
Deposited by: | Memoria Investigacion |
Deposited on: | 14 Sep 2014 10:17 |
Last Modified: | 22 Apr 2016 00:47 |