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Detecting Significant Changes in Image Sequences

Detecting Significant Changes in Image Sequences

Sergii Mashtalir, Olena Mikhnova
Copyright: © 2018 |Pages: 30
ISBN13: 9781522552048|ISBN10: 1522552049|EISBN13: 9781522552055
DOI: 10.4018/978-1-5225-5204-8.ch004
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MLA

Mashtalir, Sergii, and Olena Mikhnova. "Detecting Significant Changes in Image Sequences." Computer Vision: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2018, pp. 80-109. https://doi.org/10.4018/978-1-5225-5204-8.ch004

APA

Mashtalir, S. & Mikhnova, O. (2018). Detecting Significant Changes in Image Sequences. In I. Management Association (Ed.), Computer Vision: Concepts, Methodologies, Tools, and Applications (pp. 80-109). IGI Global. https://doi.org/10.4018/978-1-5225-5204-8.ch004

Chicago

Mashtalir, Sergii, and Olena Mikhnova. "Detecting Significant Changes in Image Sequences." In Computer Vision: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 80-109. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5204-8.ch004

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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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