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Abstract
This paper addresses the problem of the efficient classification of images in a video stream in cases, where all of the video has to be labeled. Realizing the similarity of consecutive frames, we introduce a set of simple metrics to measure that similarity. To use these observations for decreasing the number of necessary classifications, we propose a scene segmentation algorithm. Performed experiments have evaluated the acquired scene sizes and classification accuracy resulting from the usage of different similarity metrics with our algorithm. As a result, we have identified those metrics from the considered set, which show the best characteristics for usage in scene segmentation.
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- Category:
- Articles
- Type:
- artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
- Published in:
-
International Journal of Innovative Research in Computer and Communication Engineering
no. 2,
edition 8,
pages 5311 - 5315,
ISSN: 2320-9798 - Language:
- English
- Publication year:
- 2014
- Bibliographic description:
- Blokus A., Cychnerski J., Brzeski A.: Accelerating Video Frames Classification With Metric Based Scene Segmentation// International Journal of Innovative Research in Computer and Communication Engineering. -Vol. 2., iss. 8 (2014), s.5311-5315
- Verified by:
- Gdańsk University of Technology
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