Paper Info
Title
A semantic-based video segmentation method
Abstract
This paper illustrates three levels of video units 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 segmenting 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. In performance evaluation, we choose the sports programs as the testing data, because the sports video entertains large population of audiences and is very popular. The experimental results show the efficiency of the proposed method for sports programs.
Year
DOI
Venue
2012
10.1109/ICMLC.2012.6359608
ICMLC
Keywords
Field
DocType
highlights,video signal processing,attentive visual change,video segmentation,image segmentation,video unit level,shot boundary,scene change detection,sports programs,sport,semantic-based video segmentation method,video shots,game status change,motion analysis,content semantic,object detection,content-based multimedia analysis,video skimming,sports program,video sequence,testing,tracking
Computer vision,Object detection,Video processing,Video post-processing,Computer science,Motion compensation,Image segmentation,Video tracking,Artificial intelligence,Video denoising,Video compression picture types
Conference
Volume
ISSN
ISBN
4
2160-133X
978-1-4673-1484-8
Citations 
PageRank 
References 
0
0.34
5
Authors
3
Name
Order
Citations
PageRank
Huang-Chia Shih118721.98
Che-Yen Chuang200.34
Hong-Wei Lee320.84