Shot Change Detection on News Videos using Color Histogram and Edge Based Approaches

Nowadays, video contents are stored in huge files or it is televised in continuous streams but the users need to retrieve only a particular part of topic or shots from video. So we need to split it in to short video segments with respect to appropriate retrieval units automatically and efficiently. In this research work, based on shot changes two different approaches are to detect shot boundaries. First approach is edge-based segmentation of shot change detection and second approach is color based histograms. These approaches are very suitable for detecting shot changes in large size news videos quickly in effective manner. The NDTV and TV9 news videos are used to detect shot changes with various time periods. The detected shots like anchor shot and non-anchor shot are stored in database. The experimental result shows that edge-based shot change detection performs well in detecting shot frames from given news videos.