On Evaluating Metrics For Video Segmentation Algorithms

Evaluation is a central issue in the design, implementation, and performance assessment of all systems. Recently, a number of metrics have been proposed to assess the performance of segmentation algorithms for image and video data. This paper provides an overview of state of the art metrics proposed so-far, and introduces a new and efficient such metric. Doing so, subjective experiments are carried out to derive a perceptual metric. As a result, it also provides a comparison of performance of segmentation assessment metrics for different video object segmentation techniques.


Published in:
VPQM 2006 Second International Workshop on Video Processing and Quality Metrics for Consumer Electronics
Year:
2006
Publisher:
http://www.intel.com, INTEL
Keywords:
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 Record created 2006-06-14, last modified 2018-01-27

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