ICIP
2009
IEEE
13 years 9 months ago
2009
IEEE
In this paper we present an algorithm which uses adaptive selection of low-level features for main subject detection. The algorithm first computes low-level features such as contr...
JEI
2002
13 years 11 months ago
2002
Numerous research works about the extraction of low-level features from images and videos have been published. However, only recently the focus has shifted to exploiting low-level...
NN
2008
Springer
13 years 11 months ago
2008
Springer
We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in ...
ESWA
2007
13 years 11 months ago
2007
In this paper we present an automatic facial expression recognition system that utilizes a semantic-based learning algorithm using the analytical hierarchy process (AHP). Although...
TRECVID
2007
14 years 18 days ago
2007
The INESC Porto group has participated in the search task (automatic and interactive). Our approach combines high-level features (the 39 concepts of the LSCOM-Lite set) with low-l...
SPIESR
2001
14 years 24 days ago
2001
Humans tend to use high-level semantic concepts when querying and browsing multimedia databases; there is thus, a need for systems that extract these concepts and make available a...
CAISE
2006
Springer
14 years 3 months ago
2006
Springer
One of the major problems in CBIR is the so-called `semantic gap': the difference between low-level features, extracted from images, and the high-level `information need'...
WILF
2009
Springer
14 years 4 months ago
2009
Springer
In this paper, an interactive image retrieval scheme using MPEG-7 visual descriptors is proposed. The performance of image retrieval systems is still limited due to semantic gap, w...
ROBOCUP
2004
Springer
14 years 4 months ago
2004
Springer
We describe a new method for detecting features on a marked RoboCup field. We implemented the framework for robots with omnidirectional vision, but the method can be easily adapte...
MM
2005
ACM
14 years 5 months ago
2005
ACM
Image clustering, an important technology for image processing, has been actively researched for a long period of time. Especially in recent years, with the explosive growth of th...