The Social Sciences
ISSN: Online 1993-6125ISSN: Print 1818-5800
Abstract
Basically, Video CCTV is a collection of frames that are executed in sequence. The frame contains information of color values that will generate a color histogram values for determining the distance of two frames. The distance of two frames used to determine the position of the frame in the segment. This research is done to find the similarity between frames. Research activities are divided into five levels: frame generation, similarity calculation, shot segmentation, key frame selection and the final generation. Segmentation method is done by using a statistical model (Histogram difference and sum of absolute difference). Similarities between the two frames are calculated based on the difference within two frames (Euclidean distance). The similarities of the two frames will cause excessive frame. Similarities will also bring the same information with the selected frame (key frame) so it is recommended to be removed.
How to cite this article:
Wisnu Widiarto, Mochamad Hariadi and Eko Mulyanto Yuniarno. Key Frame Selection of Video CCTV Segmentation Based on Statistical Model.
DOI: https://doi.org/10.36478/sscience.2017.221.226
URL: https://www.makhillpublications.co/view-article/1818-5800/sscience.2017.221.226