Improved Adaptive Skip Algorithm for Video Shot Boundary Detection

Video shot boundary (VSB) detection plays an important role in modern video archiving and summarization applications. The classical linear approach towards VSB detection is basically a sequential search, however this approach is computationally very expensive for large databases. In this work we propose a non-linear approach for VSB detection, which is an improvement of existing adaptive skip. The proposed technique compares less than 10% of frames in an entire video. Our experimental result shows that the proposed technique outperforms the other existing non-linear algorithms with better accuracy and meaningful VSBs