PixSO: a system for video shot detection

Author

Chengcui Zhang ; Chen, Shu-Ching ; Shyu, Mei-Ling

Author_Institution

Sch. of Comput. Sci., Florida Int. Univ., Miami, FL, USA

Volume

3

fYear

2003

fDate

15-18 Dec. 2003

Firstpage

1320

Abstract

In this paper, a system called PixSO (pixel-level comparison, segmentation and object tracking) is presented for effective shot change detection using an unsupervised object segmentation algorithm and the technique of object tracking based on the segmentation mask maps. The detection method was tested on TV news, commercial, sports and documentary video sequences which contain different types of shots having different object and camera motions. The results have shown that the PixSO system can not only produce accurate shot change detection, but also obtain object level information of the video frames, which is very useful for video content indexing and analysis in multimedia databases.

Keywords

image segmentation; image sequences; object detection; tracking; video signal processing; PixSO system; multimedia database; pixel-level comparison, segmentation and object tracking; segmentation mask map; shot change detection; unsupervised object segmentation algorithm; video content analysis; video content indexing; video shot detection; Cameras; Change detection algorithms; Gunshot detection systems; Indexing; Motion detection; Object detection; Object segmentation; TV; Testing; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications and Signal Processing, 2003 and Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint Conference of the Fourth International Conference on

Print_ISBN

0-7803-8185-8

Type

conf

DOI

10.1109/ICICS.2003.1292678

Filename

1292678