The prerequisite steps for summarizing, retrieval of video are detection of shot transitions and extraction of key frames. We hypothesized an advanced, ultra-modern Scale Invariant Feature Transform (SIFT). This SIFT method captures statistical modifications of various shot transitions, next the key frames or representative frames are extracted from those segmented shot with the calculation of entropy for each frame in the shot. We can amplify the performance of over proposed system by removing the repeated representative frames using the technique called edge matching rate. This intensified algorithm is applied to variable classes of videos to perceive shot transitions and getting of the key frame. Thus, the proposed algorithm proves its efficacy and accuracy in exhibiting its experimental results.
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