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Extracting Semantic Video Objects
January/February 2001 (vol. 21 no. 1)
pp. 48-55
ASCII Text
x 
 
Fuhui Long, Dagan Feng, Hanchuan Peng, Wan-Chi Siu, "Extracting Semantic Video Objects," IEEE Computer Graphics and Applications, vol. 21, no. 1, pp. 48-55, January/February, 2001.
 
 
BibTex
x
 
@article{ 10.1109/38.895132,
author = {Fuhui Long and Dagan Feng and Hanchuan Peng and Wan-Chi Siu},
title = {Extracting Semantic Video Objects},
journal ={IEEE Computer Graphics and Applications},
volume = {21},
number = {1},
issn = {0272-1716},
year = {2001},
pages = {48-55},
doi = {http://doi.ieeecomputersociety.org/10.1109/38.895132},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Computer Graphics and Applications
TI - Extracting Semantic Video Objects
IS - 1
SN - 0272-1716
SP48
EP55
EPD - 48-55
A1 - Fuhui Long,
A1 - Dagan Feng,
A1 - Hanchuan Peng,
A1 - Wan-Chi Siu,
PY - 2001
VL - 21
JA - IEEE Computer Graphics and Applications
ER -
 
Producing large amounts of digital media data every day requires fast transmission, efficient storage, flexible manipulation, and reuse of visual content. To achieve this goal, MPEG-4 provides a content-based framework. For video, it lets users transmit, retrieve, download, store, and reuse arbitrarily shaped semantic video objects (SVOs) efficiently and interact with media sources. This article presents an SVO system that adaptively performs spatial and temporal segmentation and fusion. It also switches between user-interactive and fully automatic modes.

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Citation:
Fuhui Long, Dagan Feng, Hanchuan Peng, Wan-Chi Siu, "Extracting Semantic Video Objects," IEEE Computer Graphics and Applications, vol. 21, no. 1, pp. 48-55, Jan.-Feb. 2001, doi:10.1109/38.895132
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