An Automatic Video Reinforcing System for TV Programs using Semantic Metadata from Closed Captions

Yuanyuan Wang, Daisuke Kitayama, Yukiko Kawai, Kazutoshi Sumiya and Yoshiharu Ishikawa
Additional contact information
Yuanyuan Wang: Yamaguchi University, Ube, Japan
Daisuke Kitayama: Kogakuin University, Tokyo, Japan
Yukiko Kawai: Kyoto Sangyo University, Kyoto, Japan
Kazutoshi Sumiya: Kwansei Gakuin University, Sanda, Japan
Yoshiharu Ishikawa: Nagoya University, Nagoya, Japan

International Journal of Multimedia Data Engineering and Management (IJMDEM), 2016, vol. 7, issue 1, 1-21

Abstract: There are various TV programs such as travel and educational programs. While watching TV programs, viewers often search related information about the programs through the Web. Nevertheless, as TV programs keep playing, viewers possibly miss some important scenes when searching the Web. As a result, their enjoyment would be spoiled. Another problem is that there are various topics in each scene of a video, and viewers usually have different levels of knowledge. Thus, it is important to detect topics in videos and supplement videos with related information automatically. In this paper, the authors propose a novel automatic video reinforcing system with two functions: (1) a media synchronization mechanism, which presents supplementary information synchronized with videos, in order to enable viewers to effectively understand the geographic data in videos; (2) a video reconstruction mechanism, which generates new video contents based on viewers' interests and knowledge by adding and removing scenes, in order to enable viewers to enjoy the generated videos without additional search.

Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJMDEM.2016010101 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jmdem0:v:7:y:2016:i:1:p:1-21

Access Statistics for this article

International Journal of Multimedia Data Engineering and Management (IJMDEM) is currently edited by Chengcui Zhang

More articles in International Journal of Multimedia Data Engineering and Management (IJMDEM) from IGI Global
Bibliographic data for series maintained by Journal Editor ().