Automatic video object plane segmentation and super resolution: A novel approach
| dc.contributor.author | Pais, A.R. | |
| dc.contributor.author | Pasupuleti, N. | |
| dc.contributor.author | Gidnavar, R. | |
| dc.contributor.author | D'Souza, J. | |
| dc.date.accessioned | 2020-03-30T09:59:06Z | |
| dc.date.available | 2020-03-30T09:59:06Z | |
| dc.date.issued | 2009 | |
| dc.description.abstract | Detecting, segmenting and super resolving of moving object is an important subject in computer visual analysis and surveillance. This paper discusses automatic VOP (Video Object Plane) segmentation and super resolving of VOP. We have proposed a new method for automatic generation of VOP by using block matching and quantization techniques. Edge model based approach is used to generate the HR (High Resolution) image with sharper VOP boundaries. Experimental results show that the proper VOP is segmented and super resolution of VOP yields lesser blurring compared to bicubic, bilinear interpolation schemes. Copyright � 2009 by IICAI. | en_US |
| dc.identifier.citation | Proceedings of the 4th Indian International Conference on Artificial Intelligence, IICAI 2009, 2009, Vol., , pp.2007-2021 | en_US |
| dc.identifier.uri | https://idr.nitk.ac.in/handle/123456789/7435 | |
| dc.title | Automatic video object plane segmentation and super resolution: A novel approach | en_US |
| dc.type | Book chapter | en_US |