Automatic video temporal segmentation based on multiple features

This paper investigates automatic video temporal segmentation techniques, also named shot boundary detection (SBD) techniques. Firstly, the existing SBD algorithms are reviewed in detail. Then, a new SBD algorithm is proposed aiming to obtain fast and accurate detection, and its performances are evaluated and compared with existing works. This algorithm computes the frame difference/similarity by such simple features as pixel difference and histogram difference, adopts motion-based difference to resist camera or object movements in the same shot and uses the flash detection to avoid false positives caused by light changes or flashes. The adopted features are computational efficient, and the combination of various features improve the detection accuracy. These properties make the algorithm suitable for real-time applications, such as broadcasted news segmentation.