A novel optical flow-based representation for temporal video segmentation

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Date

2017-01-01

Author

Akpınar, Samet
Alpaslan, Ferda Nur

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Temporal video segmentation is a field of multimedia research enabling us to temporally split video data into semantically coherent scenes. In order to develop methods challenging temporal video segmentation, detecting scene boundaries is one of the more widely used approaches. As a result, representation of temporal information becomes important. We propose a new temporal video segment representation to formalize video scenes as a sequence of temporal motion change information. The idea here is that some sort of change in the optical flow character determines motion change and cuts between consecutive scenes. The problem is eventually reduced to an optical flow-based cut detection problem from which the average motion vector concept is put forward. This concept is used for proposing a pixel-based representation enriched with a novel motion-based approach. Temporal video segment points are classified as cuts and noncuts according to the proposed video segment representation. Consequently, the proposed method and representation is applied to benchmark data sets and the results are compared to other state-of-the art methods.

Subject Keywords

Temporal video segmentation, Optical flow, Temporal video segment representation, Average motion vector, Cut detection

URI

https://hdl.handle.net/11511/33193

Journal

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES

DOI

https://doi.org/10.3906/elk-1608-308

Collections

Department of Computer Engineering, Article

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Citation Formats

S. Akpınar and F. N. Alpaslan, “A novel optical flow-based representation for temporal video segmentation,” TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, pp. 3983–3993, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/33193.