Video Segmentation Via Dual Shot Boundary Detection (DSBD)
Khalid Kaabneh, O. Alia, Ahmad Abubakar Suleiman, A. Abuirbaleh · 2006
The development in multimedia applications through the Internet has opened a new field of research in storing, handling, and retrieving digital videos. Video classification and segmentation are fundamental steps for efficient accessing, retrieving, browsing and compressing large amount of video data. The basic operation in analysis of heterogeneous video data is to design system that can accurately and automatically segments video material into shots and scenes. This paper presents a new detailed video segmentation technique based on evaluation of a shot cut-type detector based on a color histogram by using a dual precession technique for adjacent frames similarity analysis. This technique produced a high recall and precision results.