Efficient unsupervised content-based segmentation in stereoscopic video sequences
Authors: Ntalianis, Klimis 
Doulamis, Anastasios 
Doulamis, Nikolaos 
Kollias, Stefanos 
Publisher: World Scientific Publishing Company
Issue Date: 1-Jan-2000
Journal: International Journal on Artificial Intelligence Tools 
Volume: 9
Issue: 2
Keywords: Unsupervised segmentation, M-RSST, Depth/color extraction, Information fusion
Abstract: 
This paper presents an efficient technique for unsupervised content-based segmentation in stereoscopic video sequences by appropriately combined different content descriptors in a hierarchical framework. Three main modules are involved in the proposed scheme; extraction of reliable depth information, image partition into color and depth regions and a constrained fusion algorithm of color segments ...
ISSN: 1793-6349
DOI: 10.1142/S0218213000000197
URI: https://uniwacris.uniwa.gr/handle/3000/2769
Type: Article
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Articles / Άρθρα

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