Paper Info
Title
An Automatic Video Reinforcing System for TV Programs using Semantic Metadata from Closed Captions
Abstract
AbstractThere 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.
Year
DOI
Venue
2016
10.4018/IJMDEM.2016010101
Periodicals
Keywords
Field
DocType
Geographical Metadata, Geographical Relationships, Media Synchronization Mechanism, Popularity Rating, Scene Detection, Topic Extraction, Topical Metadata, Video Reconstruction Mechanism
Computer vision,Metadata,Video reconstruction,Synchronization,Closed captioning,Computer science,Artificial intelligence,Multimedia
Journal
Volume
Issue
ISSN
7
1
1947-8534
Citations 
PageRank 
References 
0
0.34
17
Authors
5
Name
Order
Citations
PageRank
Yuanyuan Wang149882.58
Daisuke Kitayama26019.42
Yukiko Kawai318843.43
Kazutoshi Sumiya455084.30
Yoshiharu Ishikawa557874.32