Abstract
According to the detailed study of histogram and local optimal solution method which is similar with pyramid method, we proposed a novel video segmentation. The main contributions of our work are: 1) Calculating the histogram of video frames and getting the similarities of the adjacent frames by using three different methods which are correlation method, chi-square method and intersection method. 2) Drawing line graphs of these three similarity sequences. 3) Studying the characteristics of these three graphs, achieving local optimal solution which is based on the idea of drop sampling in pyramid to judge if the video scene has converted and segmenting the video. 4) The experimental results of the segment method are shown compared the three different distance methods at the step 1.
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© 2015 Springer-Verlag Berlin Heidelberg
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Zhang, B., Liu, Y. (2015). Micro-video Segmentation Based on Histogram and Local Optimal Solution Method. In: Tan, T., Ruan, Q., Wang, S., Ma, H., Di, K. (eds) Advances in Image and Graphics Technologies. IGTA 2015. Communications in Computer and Information Science, vol 525. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47791-5_33
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DOI: https://doi.org/10.1007/978-3-662-47791-5_33
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Online ISBN: 978-3-662-47791-5
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