Moving TV image analysis based on multimedia fusion focusing on extracted common concepts

Author

Yaginuma, Yoshitomo ; Sakauchi, Masao

Author_Institution

Inst. of Ind. Sci., Tokyo Univ., Japan

fYear

1993

fDate

15-19 Nov 1993

Firstpage

1803

Abstract

In some future industrial applications of the multimedia field, moving TV images could give useful information. However, the automatic recognition level of such color moving images achieved by computer is not high enough to understand all things. To overcome this problem, a new method based on multimedia fusion and integration using extracted common concepts is proposed in this paper. In the proposed method, common concepts, such as time and number of people are extracted from multiple data sources such as image, scenario document and sound. Cooperation between various media is carried out by exchanging these common concepts. According to the results of the experiments using a TV drama scene, this system could successfully realize good synchronizations between image, scenario and sound. This system also could realize personal character identification

Keywords

feature extraction; image recognition; multimedia systems; sensor fusion; TV drama scene; automatic recognition level; common concepts; moving TV image analysis; multimedia fusion; multiple data sources; personal character identification; scenario document; sound; Data mining; Histograms; Image analysis; Image color analysis; Image recognition; Layout; Multimedia systems; Robot sensing systems; Robotics and automation; TV;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON '93., International Conference on

Conference_Location

Maui, HI

Print_ISBN

0-7803-0891-3

Type

conf

DOI

10.1109/IECON.1993.339347

Filename

339347