Abstract
Segmentation is one of the important computer vision processes that is used in many practical applications such as medical imaging, computer-guided surgery, machine vision, object recognition, surveillance, content-based browsing, augmented reality applications, etc.. The knowledge to ascertain plausible segmentation applications and corresponding algorithmic techniques is necessary to simplify the video representation into a more meaningful and easier form to analyze. This is because expected segmentation quality for a given application depends on the level of granularity and the requirement that is related to shape precision and temporal coherence of the objects.
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Our thanks to colleagues in MMV lab for their suggestions.
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Izquierdo, E., Vaiapury, K. (2011). Applications of Video Segmentation. In: Ngan, K., Li, H. (eds) Video Segmentation and Its Applications. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9482-0_6
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DOI: https://doi.org/10.1007/978-1-4419-9482-0_6
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