We present a fuzzy color histogram-based shot-boundary detection algorithm specialized for contentbased copy detection applications. The proposed method aims to detect both cuts and gradual transitions (fade, dissolve) effectively in videos where heavy transformations (such as cam-cording, insertions of patterns, strong re-encoding) occur. Along with the color histogram generated with the fuzzy linking method on L*a*b* color space, the system extracts a mask for still regions and the window of picture-in-picture transformation for each detected shot, which will be useful in a content-based copy detection system. Experimental results show that our method effectively detects shot boundaries and reduces false alarms as compared to the state-of-the-art shot-boundary detection algorithms.
In REF , color histogram is generated using Fuzzy Logic for abrupt and gradual transition detection.
Fuzzy Color Histogram-based Video Segmentation
COMPUTER VISION AND IMAGE UNDERSTANDING 114 (2010) 125–134
Computer Science