Comparison of Video Shot Detection and Video Summarization Techniques

The Process of shot boundary detection is a fundamental requirement in automatic video indexing, editing and archiving. Many algorithms have been proposed for detecting video shot boundaries and classifying shot and shot transition types. This paper presents a comparison of several new shot boundary detection and classification techniques and their variations including Histograms, Discrete wavelet transform, Haar wavelet based video shot detection and VGRAPH Methods. The performance and ease of selecting good thresholds for these algorithms are evaluated based on a wide variety of video sequences. Threshold selection requires a trade-off between recall and precision that must be guided by the target application.