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dc.contributor.authorDe Klerk, M.G.
dc.contributor.authorVenter, W.C.
dc.contributor.authorHoffman, A.J.
dc.date.accessioned2019-06-18T09:54:16Z
dc.date.available2019-06-18T09:54:16Z
dc.date.issued2018
dc.identifier.citationDe Klerk, M.G. et al. 2018. Parameter analysis of the Jensen-Shannon divergence for shot boundary detection in streaming media applications. SAIEE Africa research journal, 109(3):171-181. [https://doi.org/10.23919/SAIEE.2018.8532193]en_US
dc.identifier.issn1991-1696
dc.identifier.urihttp://hdl.handle.net/10394/32827
dc.identifier.urihttps://ieeexplore.ieee.org/document/8532193
dc.identifier.urihttps://doi.org/10.23919/SAIEE.2018.8532193
dc.description.abstractShot boundary detection is an integral part of multimedia, be it video management or video processing. Multiple boundary detection techniques have been developed throughout the years, but are only applicable to very specific instances. The Jensen-Shannon divergence (JSD) is one such a technique that can be implemented to detect the shot boundaries in digital videos. This paper investigates the use of the JSD algorithm to detect shot boundaries in streaming media applications. Furthermore, the effects of the various parameters used by the JSD technique, on the accuracy of the detected boundaries, are quantified by the recall and precision metrics all the while keeping track of how they affect the execution timeen_US
dc.language.isoenen_US
dc.publisherSAIEEen_US
dc.subjectJensen-Shannon Divergenceen_US
dc.subjectShot boundary detectionen_US
dc.subjectThreshold parametersen_US
dc.titleParameter analysis of the Jensen-Shannon divergence for shot boundary detection in streaming media applicationsen_US
dc.typeArticleen_US
dc.contributor.researchID10063218 - Venter, Willem Christiaan
dc.contributor.researchID10196978 - Hoffman, Alwyn Jakobus
dc.contributor.researchID20555466 - De Klerk, Martinus Gerhardus


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