|
|
|
¡¡ |
|
|
|
¡¡
|
Multimedia contents
filtering technology should be developed for the user
control digital TV or internet information filtering
because malicious contents might be included in any
multimedia content. This filtering technology could
be a part of image/video data mining.
|
To reach the high performance,
the important part of the filtering algorithm should
be the discrimination for hardly recognizable malicious
contents. But, the internet content filtering technology is early stage
yet. In this research, we secure the core technique
for adult video discrimination algorithm to develop
multi-modal feature extraction and combination method
using our previous research of MPEG-7 technology.
|
To discriminate adult videos, our research
focuses on the development about the way
of extracting and combining the multi-modal
features.
|
¡¡
|
The goal of this project is the followings |
¡¡ |
1. Video analysis
technology |
|
2. Still frame-based
discrimination algorithm development for
malice video contents |
|
Semantic-based features
extraction from still frames
extracted from movio: color,
texture, shape features |
|
Malice discrimination
algorithm development using
the semantic-based feature extracted
from still frames |
¡¡ |
|
3. Feature extraction
method development for movie contents |
|
Context pattern analysis
for the creation of the adult
video model |
|
Feature extraction method presentation
using temporal information of
the movie |
|
Multi-modal feature combination
technique development
|
¡¡
|
|
4. Video
content-based Discrimination algorithm development
for malice |
|
Malice discrimination
algorithm development using
combination of still frame-based
discrimination results and features
extracted from video
|
|
Use of features extracted
from still frames and temporally
existing information
|
¡¡
|
|
|
¡¡
|
|
|
¡¡ |
¡¡
¡¡
|
¾ç½ÂÁö,
¼°æ¼®, ³ë¿ë¸¸, ÀÌÈ£±Õ, À̽¹Î, ³²Åÿë , "³»¿ë
±â¹Ý ¸ÖƼ-¸ð´Þ Ư¡°ªÀ» ÀÌ¿ëÇÑ À¯ÇØ µ¿¿µ»ó
ÇÊÅ͸µ",
2005³âµµ Çѱ¹¸ÖƼ¹Ìµð¾î
Ãß°èÇмú¹ßÇ¥´ëȸ
|
|
|
|
¡¡ |
¡¡ |