Supervised Video Scene Segmentation using Similarity Measures Supervised Video Scene Segmentation using Similarity Measures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU104500" target="_blank" >RIV/00216305:26220/13:PU104500 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Supervised Video Scene Segmentation using Similarity Measures Supervised Video Scene Segmentation using Similarity Measures
Original language description
Video scene segmentation is a process for dividing video into semantically meaningful blocks. This can help e.g. search engines to divide video into better manageable parts and enable more relevant search in video. Unfortunately, scene segmentation is based on the semantic and therefore it is a difficult task for computers. This work is preliminary study involved into supervised video scene segmentation, which is driven by the way how human segments scenes in a movie. Since these video segments represent semantic parts in video, it can be used for better video annotation and also for searching in videos. As a training set, only high quality movies were used and from these movies 100 training samples have been extracted and used for evaluation. Resulting model is a method based on general color layout, Tamura similarity measure and k-nearest neighbors achieving 97.00% accuracy.
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
<a href="/en/project/FR-TI4%2F151" target="_blank" >FR-TI4/151: Research and development of technology for machine emotion detection in unstructured data</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
36th International Conference on Telecommunications and Signal processing
ISBN
978-1-4799-0402-0
ISSN
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e-ISSN
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Number of pages
912
Pages from-to
793-797
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Rome
Event date
Jul 2, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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