Video genre classification based on length analysis of temporally aggregated video shots

Abstract

Content-based video indexing is still a very intensively developed area of research in computer science. Most frequently the first stages of content recognition are the temporal segmentation and the detection of video structure. The analyses and the observations of different genre of videos confirm that the edition of videos and the video structures significantly depend on the video genre. On the other hand many processes will be better performed if the genre of video is known and the parameters of processes are adequate to the video genre. The paper presents the tests in the AVI Indexer showing that the genre of a video edited in a standard way and typical for a given video genre can be detected only on the basis of the analysis of sequences of the shot lengths.