Sciweavers

Share
warning: Creating default object from empty value in /var/www/modules/taxonomy/taxonomy.module on line 1416.
ICIP
2009
IEEE
10 years 11 months ago
Main subject detection via adaptive feature selection
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...
Cuong T. Vu, Damon M. Chandler
JEI
2002
107views more  JEI 2002»
11 years 1 months ago
Classifying images on the web automatically
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...
Rainer Lienhart, Alexander Hartmann
NN
2008
Springer
152views Neural Networks» more  NN 2008»
11 years 1 months ago
Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge
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 ...
Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C...
ESWA
2007
136views more  ESWA 2007»
11 years 1 months ago
Semantic-based facial expression recognition using analytical hierarchy process
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...
Shyi-Chyi Cheng, Ming-Yao Chen, Hong-Yi Chang, Tzu...
TRECVID
2007
11 years 2 months ago
INESC, Porto at TRECVID 2007: Automatic and Interactive Video Search
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...
Catalin Calistru, Cristina Ribeiro, Gabriel David,...
SPIESR
2001
174views Database» more  SPIESR 2001»
11 years 2 months ago
Mapping low-level image features to semantic concepts
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...
Daniela Stan, Ishwar K. Sethi
CAISE
2006
Springer
11 years 5 months ago
The Meaning of an Image in Content-Based Image Retrieval
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'...
Walter ten Brinke, David McG. Squire, John Bigelow
WILF
2009
Springer
196views Fuzzy Logic» more  WILF 2009»
11 years 6 months ago
Interactive Image Retrieval in a Fuzzy Framework
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...
Malay Kumar Kundu, Minakshi Banerjee, Priyank Bagr...
ROBOCUP
2004
Springer
103views Robotics» more  ROBOCUP 2004»
11 years 6 months ago
A Constructive Feature Detection Approach for Robotic Vision
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...
Felix von Hundelshausen, Michael Schreiber, Ra&uac...
MM
2005
ACM
140views Multimedia» more  MM 2005»
11 years 7 months ago
Web image clustering by consistent utilization of visual features and surrounding texts
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...
Bin Gao, Tie-Yan Liu, Tao Qin, Xin Zheng, QianShen...
books