Journal
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING
Volume -, Issue -, Pages -Publisher
SPRINGEROPEN
DOI: 10.1155/2008/460913
Keywords
-
Categories
Funding
- National Science Council (Taiwan) [NSC97-2218-E-006-012]
Ask authors/readers for more resources
An entropy-based criterion is proposed to characterize the pattern and intensity of object motion in a video sequence as a function of time. By applying a homoscedastic error model-based time series change point detection algorithm to this motion entropy curve, one is able to segment the corresponding video sequence into individual sections, each consisting of a semantically relevant event. The proposed method is tested on six hours of sports videos including basketball, soccer, and tennis. Excellent experimental results are observed. Copyright (C) 2008 Chen-Yu Chen et al.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available