Title
Multi-level video segmentation using visual semantic units
Abstract
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.
Year
DOI
Venue
2013
10.1109/ICCE.2013.6486785
ICCE
Keywords
DocType
ISSN
image segmentation,image sequences,object detection,video signal processing,attentive visual change,fine granularities,game status change,multilevel video segmentation,scene change detection,shot boundary,sports programs,video sequence segmentation,video shots,visual semantic units
Conference
2158-3994
ISBN
Citations 
PageRank 
978-1-4673-1361-2
0
0.34
References 
Authors
3
1
Name
Order
Citations
PageRank
Huang-Chia Shih118721.98