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The K-Space segmentation tool set

McGuinness, Kevin orcid logoORCID: 0000-0003-1336-6477 and O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 (2008) The K-Space segmentation tool set. In: SAMT 2008 - 3rd International Conference on Semantic and Multimedia Technologies, 3-5 December 2008, Koblenz, Germany.

In this paper we describe two applications, created as part of the K-Space Network of Excellence, designed to allow researchers to use and experiment with state-of-the-art methods for spatial segmentation of images and video sequences. The first of these tools is an _Interactive Segmentation Tool_, developed to allow accurate human-guided segmentation of semantic objects from images using different segmentation algorithms. The tool is particularly useful for generating ground-truth segmentations, extracting objects for further processing, and as a general image processing application.The second tool we developed is designed for fully automatic spatial region segmentation of image and video. The tool is web-based; usage only requires a browser. Both the automatic and interactive segmentation tools have been made available online; we anticipate they will be a valuable resource for other researchers.
Item Type:Conference or Workshop Item (Poster)
Event Type:Conference
Additional Information:Website for the Interactive Segmentation Tool: http://kspace.cdvp.dcu.ie/public/interactive-segmentation Website for the Web Segmentation Platform: http://kspace.cdvp.dcu.ie/platform/platform.html
Uncontrolled Keywords:Segmentation;
Subjects:Computer Science > Interactive computer systems
Computer Science > Visualization
Computer Science > Computer software
Computer Science > Multimedia systems
Computer Science > Image processing
Computer Science > Algorithms
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Institutes and Centres > CLARITY: The Centre for Sensor Web Technologies
Official URL:http://samt2008.uni-koblenz.de/
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:K-Space, Science Foundation Ireland
ID Code:2249
Deposited On:09 Jan 2009 11:26 by Dr. Kevin McGuinness . Last Modified 24 Jan 2019 15:05

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