Video genre classification using dynamics

Author

Roach, M.J. ; Mason, J.S.D. ; Pawlewski, M.

Author_Institution

Dept. of Electr. & Electron. Eng., Univ. of Wales, Swansea, UK

Volume

3

fYear

2001

fDate

2001

Firstpage

1557

Abstract

The problem addressed here is the classification of videos at the highest level into pre-defined genre. The approach adopted is based on the dynamic content of short sequences (~30 secs). This paper presents two methods of extracting motion from a video sequence: foreground object motion and background camera motion. These dynamics are extracted, processed and applied to classify 3 broad classes: sports, cartoons and news. Experimental results for this 3 class problem give error rates of 17%, 8% and 6% for camera motion, object motion and both combined respectively, on ~30 second sequences

Keywords

feature extraction; image classification; image motion analysis; image sequences; video signal processing; background camera motion; cartoons; dynamics extraction; error rates; foreground object motion; motion extraction; news; short video sequences; sports; video dynamic content; video genre classification; Cameras; Data mining; Digital multimedia broadcasting; Error analysis; Event detection; Filters; Labeling; Multimedia communication; Video sequences; Wildlife;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.941230

Filename

941230