Key Frames Extraction And Video Summarization Based On Histogram

with the advent of digital multimedia, a lot of digital content such as conference, movies, and video lecturers, news, shows and sports events is widely available. Also, due to the advances in digital content distribution (direct-to-home 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 an occurrence) or the whole of video content may not be of interest to the user(Ex. Soccer or cricket match video). In such cases, the user may just want to view the summary of the video instead of watching the whole video. In this paper video summarization is based frame extraction in which whole video is convert into the shots (segmentation) and then select frames which is part of video summary and this will be done by taking different parameters like entropy change, histogram level, audio level etc. and then select frames for make summary which is call key frames. This key frames is dives the main information of the whole video. After select key frames filtering is used for over duplication and make good video summary.