Abstract:
Video summarization refers to creating a summary of a digital video. With the advent of digital multimedia, a lot of digital content such as movies, news, television shows and sports is widely available. Also, due to the advances in digital content distribution (DTH satellite reception) and digital video recorders, this digital content can be easily recorded. However, the user may not have sufficient time to watch the entire video (Ex. User may want to watch just the highlights of a game) or the whole of video content may not be of interest to the user(Ex. Golf game video). In such cases, the user may just want to view the summary of the video instead of watching the whole video. Thus, the summary should be such that it should convey as much information about the occurrence of various incidents in the video. Also, the method should be very general so that it can work with the videos of a variety of genre. Current research topics on video includes video abstraction or summarization, video classification, video annotation, content based video retrieval. In nearly all these application one needs to identify shots in video which will correctly and briefly indicate the contents of video. This paper compares some of the popular shot boundary detection techniques; discuses the merits and demerits of each of the techniques and some experiments.

Keywords: Color Histogram Difference Based, Edge Change Ratio Based, Pixel Based Techniques, Cut Detection, Shot Detection