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Detecting Significant Changes in Image Sequences

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Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 115))

Abstract

In this chapter the authors propose an overview on contemporary artificial intelligence techniques designed for change detection in image and video sequences. A variety of image features have been analyzed for content presentation at a low level. In attempt towards high-level interpretation by a machine, a novel approach to image comparison has been proposed and described in detail. It utilizes techniques of salient point detection, video scene identification, spatial image segmentation, feature extraction and analysis. Metrics implemented for image partition matching enhance performance and quality of the results, which has been proved by several estimations. The review on estimation measures is also given along with references to publicly available test datasets. Conclusion is provided in relation to trends of future development in image and video processing.

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Correspondence to Olena Mikhnova .

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Mashtalir, S., Mikhnova, O. (2017). Detecting Significant Changes in Image Sequences. In: Hassanien, A., Mostafa Fouad, M., Manaf, A., Zamani, M., Ahmad, R., Kacprzyk, J. (eds) Multimedia Forensics and Security. Intelligent Systems Reference Library, vol 115. Springer, Cham. https://doi.org/10.1007/978-3-319-44270-9_8

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  • DOI: https://doi.org/10.1007/978-3-319-44270-9_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44268-6

  • Online ISBN: 978-3-319-44270-9

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