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Shot Change Detection Using RGB Histogram Difference Analysis

This study by 劉晟志 presents an innovative method for detecting shot changes in video sequences. The method employs histogram difference analysis within the RGB color space, allowing for effective identification of significant transitions in frames. To enhance accuracy, the approach disregards detected shot changes that are closely spaced in time, focusing on the most impactful transitions. Performance metrics indicate a precision of 50% and a recall of 76.9%, signifying a promising approach for real-time video analysis in various applications.

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Shot Change Detection Using RGB Histogram Difference Analysis

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  1. Homework: Shot Change Detection 劉晟志

  2. Using histogram difference of RGB color space Ignore the detected shot change frames those are close to each other

  3. 40,67,74,79,81,83,87,89,129,195,273,295,313,334,338,355,362,435,710,800,860,942,981,998,1009,1023,1034,1060,1130,1145,1179,1182,1207,1225,1237,1263,1268,1286,1293,132040,67,74,79,81,83,87,89,129,195,273,295,313,334,338,355,362,435,710,800,860,942,981,998,1009,1023,1034,1060,1130,1145,1179,1182,1207,1225,1237,1263,1268,1286,1293,1320 • Precision: 50% (20/40) • Recall: 76.9% (20/26)

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