Automatic Segmentation of Home Videos

Author

Zhai, Yun ; Shah, Mubarak

Author_Institution

Sch. of Comput. Sci., Central Florida Univ., Orlando, FL

fYear

2005

fDate

6-6 July 2005

Firstpage

9

Lastpage

12

Abstract

Temporal video segmentation is one of the fundamental and essential tasks in video processing, understanding and management. In this paper, we present an automatic method for segmenting the home videos into temporal logical units. We have developed a statistical framework using Markov chain Monte Carlo (MCMC) technique. The temporal scene boundaries are detected by maximizing the posterior probability of the model parameters. The model parameters contain the number of the scenes and the boundary locations of the scenes. The proposed method has been demonstrated on several home videos, and high accuracy has been obtained

Keywords

Markov processes; Monte Carlo methods; image segmentation; video signal processing; MCMC; Markov chain Monte Carlo technique; automatic method; home video segmentation; maximization; posterior probability; statistical framework; temporal logical unit; Cameras; Computer science; Gunshot detection systems; Joining processes; Layout; Monte Carlo methods; Motion pictures; Probability; TV; Video recording;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on

Conference_Location

Amsterdam

Print_ISBN

0-7803-9331-7

Type

conf

DOI

10.1109/ICME.2005.1521347

Filename

1521347