Ms. Yan Fu Profile

Yan Fu

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Proceedings Article | 18 February 2022 Paper

A novel shot boundary detection technique for illumination and motion effects

Yan Fu, Renjie Guo, Ou Ye

Proceedings Volume 12162, 1216208 (2022) https://doi.org/10.1117/12.2628099

KEYWORDS: Video, Video compression, Detection and tracking algorithms, Databases, Image segmentation, Video processing, Lithium, Feature extraction, Color difference, Machine learning

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Shot boundary detection is the main task in the preprocessing stage of content-based video operations. There are unforeseen illumination change and motion effects in a video due to the complexity of video content, which may lead to the detection of wrong shot boundaries. This paper proposes a novel shot boundary detection method to solve this problem. The method mainly includes two parts: abrupt and gradual transition detection. In the first stage, CIEDE2000 color-difference and adaptive threshold are used to find the possible abrupt transition frames. Then BRISK feature is utilized to extract real abrupt transition frames. In the next stage, the brightness change of video frames is utilized to detect the frame group that may be gradual. Then CIEDE2000 color-difference along with cumulative frame algorithm is used to detect actual gradual transition frames. The experiment is evaluated on the TRECVid2001 and ClipShots datasets. Experimental results show that the method proposed in this paper can improve the precision of shot segmentation.

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