Detection of Scene Change in Video

A number of automated scene change detection methods for indexing a video sequence to facilitate browsing and retrieval have been proposed in recent years. Scene change detection plays an important role in a number of video applications, including video indexing, semantic features extraction, multimedia information systems, Video on demand (VOD), digital TV, online processing (networking) neural network mobile applications services and technologies, cryptography, and in watermarking. Recent advances in technology have made tremendous amount of multimedia content available. The amount of video is increasing, due to which the systems that improve the access to the video is needed. A current research topic on video includes video ion or summarization, video classification, video annotation and content based video retrieval. In all these applications one needs to identify shot and key frames in video which will correctly and briefly indicates the contents of video. This project emphasizes on video shot boundary detection using one of the methods of the color histogram wherein scaling of the histogram metrics is an added feature. The difference between the histograms of two consecutive frames is evaluated resulting in the metrics. Further scaling of the metrics is performed to avoid ambiguity and to enable the choice of apt threshold for any type of videos which involves minor error due to flashlight, camera motion, etc. Two sample videos are used here with pixels using color histogram approach in the video sequence. An attempt is made for the retrieval of color video. The purpose of this project is to develop a scene change detection system that can detect abrupt scene change in a video using one of the methods of the color histogram. The scene change detector is build by using MATLAB.