ICIP
2009
IEEE
13 years 10 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
14 years 3 days 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
14 years 11 days 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
14 years 11 days 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 1 months 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 1 months 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 4 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 5 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 5 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 6 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...