Summarization with key frame extraction using thepade's sorted n-ary block truncation coding applied on haar wavelet of video frame
Shalakha R. Badre, Sudeep D. Thepade · 2016
Due to advance growth in videos available across the internet, it is required to navigate and handle them properly. It is essential to select only valuable and accurate information from video. Video summarization helps in acquiring essential information. Video summary produces concise and exact data of the video. With help of key frame extraction video summary can be generated. Key frames from video represent main content of video. In the proposed methodology, to extract key frame from video, haar wavelet transform with various levels and Thepade's sorted pentnary block truncation coding is used. For experimentation purpose test bed of 30 videos is used here. To measure the diversity among successive frames various similarity measures are used. Alias Canberra distance, Sorencen distance, Wavehedge distance, Euclidean distance and mean square error similarity measures are used. The Euclidean distance has given better performance. The increase in accuracy is observed till Haar wavelet of level 5, then higher levels have shown drop in accuracy.