By Topic

Multi-level video segmentation using visual semantic units

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

1 Author(s)
Huang-Chia Shih ; Human-Computer Interaction Multimedia Lab, Department of Electrical Engineering, Yuan Ze University, Taiwan, R.O.C.

This paper illustrates multiple levels of boundary for video segmentation from coarse to fine granularity, which include highlights, attentive visual change, and game status change. The boundaries between video shots are commonly known as scene change and the action of segmentation a video sequence into multiple shots is called scene change detection. However, different applications are suitable for different fine granularities of the shot boundary. In this paper, we take the content semantic into consideration to segment the video. The experimental results show the efficiency of the proposed method for sports programs.

Published in:

2013 IEEE International Conference on Consumer Electronics (ICCE)

Date of Conference:

11-14 Jan. 2013