By Topic

Social Indexing of TV Programs: Detection and Labeling of Significant TV Scenes by Twitter Analysis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Masami Nakazawa ; Intell. Media Process. Lab., KDDI R&D Labs. Inc., Fujimino, Japan ; Maike Erdmann ; Keiichiro Hoashi ; Chihiro Ono

Technology to analyze the content of TV programs, especially the extraction and annotation of important scenes and events within a program, is beneficial for users to enjoy recorded programs. In this paper, we propose a method of detecting significant scenes in TV programs and automatically annotating the content of the extracted scenes through Twitter analysis. Experiments conducted on baseball games indicate that the proposed method is capable of detecting major events in a baseball game with an accuracy of 90.6%. Moreover, the names of persons involved in the events were detected with an accuracy of 87.2%, and labels describing the event were applied with an accuracy of 66.8%. The proposed technology is very helpful, because it enables users to skip to the highlights of a recorded program.

Published in:

Advanced Information Networking and Applications Workshops (WAINA), 2012 26th International Conference on

Date of Conference:

26-29 March 2012