标题：Key Frame Extraction Based on Dynamic Color Histogram and Fast Wavelet Histogram
作者：Zong, Zhikai; Gong, Qing
作者机构：[Zong, Zhikai; Gong, Qing] Shandong Univ, Sch Mech Elect & Informat Engn, Weihai 264209, Peoples R China.
会议名称：IEEE International Conference on Information and Automation (ICIA)
会议日期：JUL 18-20, 2017
来源：2017 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (IEEE ICIA 2017)
关键词：dynamic color histogram; fast wavelet transform; gradual shot detection;; key frame extraction; content based video retrieval
摘要：There has been a dramatic increase in video data on the Internet in recent years. The abundant video data result in the request for content-based video retrieval (CBVR), which uses efficient techniques to index, retrieve or browse these data. For this purpose, we combine color details derived from dynamic color histogram and texture details derived from fast wavelet histogram to select key frames. Then, the number of key frames is determined by optimized k-means algorithm. Finally, we remove the redundant key frames and get the final key frames by way of mutual information. The effective gradual shot transition is obtained by means of variance curve of dynamic color histogram. Three test videos including movie, sport and lecture are adopted to evaluate the proposed method on performance of key frame extraction and gradual shot detection.