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Incorporation of Textural Information for Joint Spatio-Temporal Probabilistic Video Object Segmentation

Ahmed, Rakib; Karmakar, Gour C. and Dooley, Laurence S. (2007). Incorporation of Textural Information for Joint Spatio-Temporal Probabilistic Video Object Segmentation. In: 2007 IEEE International Conference on Image Processing (ICIP’07), 16-19 Sept 2007, San Antonio, Texas.

URL: http://www.ieeexplore.ieee.org/xpls/abs_all.jsp?is...
DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1109/ICIP.2007.4379579
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Abstract

Embedding textural information into the probabilistic spatio-temporal (PST) video object segmentation is very important for achieving better segmentation, since this is one of the key perceptual attributes of any object. Existing video segmentation techniques however, ignore this feature because of the underlying difficulty in defining and hence characterizing a texture, which theoretically limits their segmentation performance. To address this problem, this paper proposes a new video object segmentation algorithm that involves a strategy to seamlessly incorporate texture information as a pixel feature in the PST framework. Experimental results for a variety of standard test sequences reveal a significant performance improvement in the quality of the video object segmentation achieved in comparison with the original PST method.

Item Type: Conference Item
ISSN: 1522-4880
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 10508
Depositing User: Laurence Dooley
Date Deposited: 02 Apr 2008
Last Modified: 02 Dec 2010 20:07
URI: http://oro.open.ac.uk/id/eprint/10508
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