Shot boundary detection and key frame extraction using salient region detection and structural similarity

ACM SE '10 Pub Date : 2010-04-15 DOI:10.1145/1900008.1900096
E. Mendi, Coskun Bayrak
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引用次数: 25

Abstract

In this paper, we present a novel algorithm for shot boundary detection and key frame extraction from video sequences. Saliency maps representing the attended regions are produced from the color and luminance features of the video frames. Introducing a novel signal fidelity measurement -saliency based structural similarity index- the similarity of the maps is measured. Based on the similarities, shot boundaries and key frames are determined. Proposed algorithm is tested on neurosurgical videos and precision and recall performances are measured. Experimental results validate effectiveness of the proposed shot boundary detection and key frame extraction algorithm. Moreover, the algorithm is robust to dissolving digital video effects used in shot transition.
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基于显著区域检测和结构相似性的镜头边界检测和关键帧提取
本文提出了一种新的视频序列镜头边界检测和关键帧提取算法。从视频帧的颜色和亮度特征中产生代表参与区域的显著性图。引入一种新的信号保真度测量方法——基于显著性的结构相似度指标,对图的相似度进行了测量。基于相似性,确定镜头边界和关键帧。在神经外科视频上对算法进行了测试,测试了算法的准确率和召回率。实验结果验证了所提出的镜头边界检测和关键帧提取算法的有效性。此外,该算法对镜头过渡中使用的数字视频效果具有较强的鲁棒性。
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