Abstract
A video is made up of frames. Generally few video processing applications demand to process each video frame one by one, but processing each frame consumes lot of video content summarization helps in improvising the processing speed for such applications. Key frames in video are considered for content summarization. Key frame is a frame in which there is a major change as compared to the previous video frames. Hence key frame extraction becomes very important in Video Content Summarization. In applications needing content summarization, like data storage, retrieval and surveillance, key frames extraction plays a vital role. The Block truncation Coding is one of color feature extraction methods in Content Based Video Retrieval (CBVR). The extended version of BTC is Thepade's Sorted Ternary BTC (TSTBTC). This paper explains key frame extraction using Assorted similarity measure and TSTBTC.
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