Unsupervised Scene Change Detection Techniques In Feature Domain Via Clustering And Elimination

The last generation video compression techniques such as MPEG-4 and H.263+, allow presence of shot-cut detection methods that are usually built into the encoders. Such methods are used to extract key-frames to be encoded as intra frames. This paper presents automated scene change detection techniques, which mainly work over these key-frames to extract scene frames. Proposed techniques aim at unsupervised or semi-automatic scene detection schemes. Preliminary results show that the proposed framework provides near optimal scene frames suitable for video summarization by choosing semantically important key-frames as the scene frames.