Unsupervised Dynamic Textures Segmentation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F13%3A00395211" target="_blank" >RIV/67985556:_____/13:00395211 - isvavai.cz</a>
Alternative codes found
RIV/61384399:31160/13:00043530
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-40261-6_52" target="_blank" >http://dx.doi.org/10.1007/978-3-642-40261-6_52</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-40261-6_52" target="_blank" >10.1007/978-3-642-40261-6_52</a>

Result language
angličtina
Original language name
Unsupervised Dynamic Textures Segmentation
Original language description
This paper presents an unsupervised dynamic colour texture segmentation method with unknown and variable number of texture classes. Single regions with dynamic textures can furthermore dynamically change their location as well as their shape. Individualdynamic multispectral texture mosaic frames are locally represented by Markovian features derived from four directional multispectral Markovian models recursively evaluated for each pixel site. Estimated frame-based Markovian parametric spaces are segmented using an unsupervised segmenter derived from the Gaussian mixture model data representation which exploits contextual information from previous video frames segmentation history. The segmentation algorithm for every frame starts with an over segmented initial estimation which is adaptively modified until the optimal number of homogeneous texture segments is reached. The presented method is objectively numerically evaluated on the dynamic textural test set from the Prague Segmentation
Czech name
—
Czech description
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Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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