Video shot segmentation using late fusion technique

dc.contributor.authorKrishna Mohan, C.K.
dc.contributor.authorDhananjaya, N.
dc.contributor.authorYegnanarayana, B.
dc.date.accessioned2026-02-06T06:40:58Z
dc.date.issued2008
dc.description.abstractIn this paper, a new method for detecting shot boundaries in video sequences using a late fusion technique is proposed. The method uses color histogram as the feature, and processes each bin separately for detecting shot boundaries. The decisions from individual bins are combined later for hypothesizing the presence of shot boundaries. The method provides a certain degree of robustness against illumination and camera/object motion, as it ignores small changes in the bins. While the early fusion techniques rely on the extent of change in color information, the proposed technique relies on the number of significant changes. Experimental results successfully validate the new method and show that it can effectively detect both abrupt and gradual transitions. © 2008 IEEE.
dc.identifier.citationProceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008, 2008, Vol., , p. 267-270
dc.identifier.urihttps://doi.org/10.1109/ICMLA.2008.88
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/33281
dc.subjectEarly fusion
dc.subjectLate fusion
dc.subjectShot boundary detection
dc.subjectVideo content analysis
dc.subjectVideo segmentation
dc.titleVideo shot segmentation using late fusion technique

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