As dissolve is the most common gradual shot transition, dissolve detection plays an important role in video segmentation which is the fundamental step for efficient video indexing and retrieval. However, the existing detection methods easily confuse dissolve with camera motion or object motion when using global features. Besides, when using local features’ change tendency, they can’ t get accurate trajectories to reflect this. In this paper, we propose a SURF feature based dissolve detection algorithm which can well differentiate dissolve from motion appearances. We get the trajectories of SURF key points by matching between two successive frames. Then a candidate set of dissolves is obtained according to the distribution of the starting points and ending points on the trajectory, filtering part of motions. Dissolves are further located by analyzing the curve of the proportion of subtrajectories with monotonous variation through each frame. Experiments demonstrate the effectiveness and efficiency of the proposed method.
['Yaqiong Wang', 'Yang Yang', 'Tongwei Ren', 'Gangshan Wu']
A Motion-Insensitive Dissolve Detection Method with SURF