Abstract
Shot change detection is the main technique in the video segmentation which is required real-time processing and automatical processing in hardware. In this paper, we propose the SCD model for real-time shot change detection in such as PMPs and cellular phones. The real-time SCD model determines shot change detection by comparing the feature value of current frame and a mean feature value on variable reference block. Proposed method can be used independently from the feature value of frame, can set automatic threshold using a mean feature value on variable reference block. We obtained better detection ratio than the conventional methods maximally by precision 0.146, recall 0.083, F1 0.089 in the experiment with the same test sequence. Therefore, our proposing algorithm will be helpful in searching video data on portable media player such as PMPs and cellular phones.
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Kim, WH., Kim, JN. (2010). Real-Time Adaptive Shot Change Detection Model. In: Kim, Th., Pal, S.K., Grosky, W.I., Pissinou, N., Shih, T.K., Ślęzak, D. (eds) Signal Processing and Multimedia. MulGraB SIP 2010 2010. Communications in Computer and Information Science, vol 123. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17641-8_29
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DOI: https://doi.org/10.1007/978-3-642-17641-8_29
Publisher Name: Springer, Berlin, Heidelberg
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