Affiliations:
Wrocław University of Science and Technology, Faculty of Computer Science and Management, Wrocław, Poland
Correspondence:
[*]
Corresponding author. Kazimierz Choroś, Wrocław University of Science and Technology, Faculty of Computer Science and Management, Wyb. Wyspiańskiego 27, 57-370 Wrocław, Poland. E-mail: kazimierz.choros@pwr.edu.pl.
Abstract: The automatic detection of video genre is very desirable and necessary for further analysis of videos mainly when the video processing methods should be parameterized according to the specific video features. It improves first of all the efficiency of temporal segmentation. Temporal segmentation is usually the initial stage for the analysis of edited videos, for such processes as highlights detection, removing of undesirable parts like publicity, as well as selection of play segments in sports videos, etc. Then the temporal aggregation method based on the analysis of shot length and consisting in shot grouping into scenes of a given category can be applied to significantly reduce processing time. The analyses and the observations of videos confirm that the editions of videos and the video structures significantly depend on the video genre. Many processes can be better performed if the genre of video is known and the methods and their parameters are adequate to the video genre. The paper presents the analyses and tests in the AVI Indexer showing the impact of shot length on the results of temporal segmentation, temporal aggregation, and genre detection of video edited in a standard and typical way for a given video genre.
Keywords: Content-based video indexing, digital video structures, temporal
segmentation, video shot categorization, temporal relations, automatic video genre classification, temporal aggregation, shot length analysis, AVI indexer
