Detection of Gradual Transitions through Temporal Slice Analysis.pdf
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Detection of Gradual Transitions through Temporal Slice AnalysisC. W. Ngo, T. C. Pong R. T. ChinDepartment of Computer ScienceThe Hong Kong University of Science TechnologyClear Water Bay, Kowloon, Hong KongEmail: fcwngo, tcpong, rolandg@cs.ust.hkAbstractIn this paper, we present approaches for detectingcamera cuts, wipes and dissolves based on the analysisof spatio-temporal slices obtained from videos. Theseslices are composed of spatially and temporally coher-ent regions which can be perceived as shots. In the pro-posed methods, camera breaks are located by perform-ing color-texture segmentation and statistical analysison these video slices. In addition to detecting camerabreaks, our methods can classify the detected breaks ascamera cuts, wipes and dissolves in an ecient man-ner.1 IntroductionA video is physically formed by shots; a shot isan uninterrupted segment of screen time, space andgraphical congurations. The boundary between twoshots is called camera break. There are three majortypes of camera breaks: cut, wipe and dissolve. Acamera cut is an instantaneous change from one shotto another; a wipe is a moving boundary line cross-ing the screen such that one shot gradually replacesanother; a dissolve superimposes two shots where oneshot gradually lighten while the other fade out slowly.Wipe and dissolve are normally referred to as gradualtransitions.In the current literature, there are various algo-rithms for detecting camera breaks [7, 10], in general,we can categorize them as statistic-based, histogram-based, feature-based, transformed-based, and motion-based. Most existing algorithms can segment a videosequence into shots correctly if the sequence hassmooth frame transitions within a shot and abruptspatial changes between shots. These algorithms areinsensitive to gradual transitions since the change be-tween two consecutive frames is small. Furthermore,methods based on the frame-to-frame dierence met-rics and feature analysis are computationally expen-
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