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, 50-370 Wrocław, Poland. Tel.: +48 713203799; E-mail: [email protected].
Abstract: Content-based indexing methods need to analyze all frames of a video. Because such a procedure is extremely time consuming the indexing may be limited to the key-frames, i.e. to only one or to a few frames for every shot or for every video scene. The detection of the key-frame of a shot or of a scene requires very effective temporal segmentation methods. Content-based indexing of videos is based on the automatic detection of a video structure. A video shot is the main structural video unit. The temporal aggregation results in grouping of shots into scenes of a given category. Moreover, the determination of the most likely category on the basis of time relations also reduces the analysis time enabling us to apply the adequate method of content-based indexing. The main problem is to select report shots and non-report shots because usually different indexing strategies should be applied. The paper examines the usefulness of the temporal aggregation method and pre-categorization of shots in news videos to reduce processing time taken by a very time-consuming content-based video indexing process.
Keywords: Content-based video indexing, news videos, video structures, temporal aggregation, news shot categorization, digital video segmentation, category probability, video key-frames, temporal relations
