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» Unsupervised Learning of Invariant Features Using Video
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ICCV
2001
IEEE
14 years 9 months ago
Learning the Semantics of Words and Pictures
We present a statistical model for organizing image collections which integrates semantic information provided by associated text and visual information provided by image features...
Kobus Barnard, David A. Forsyth
ICPR
2008
IEEE
14 years 9 months ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague
CVIU
2006
162views more  CVIU 2006»
13 years 7 months ago
Unsupervised scene analysis: A hidden Markov model approach
This paper presents a new approach to scene analysis, which aims at extracting structured information from a video sequence using directly low-level data. The method models the se...
Manuele Bicego, Marco Cristani, Vittorio Murino
ICPR
2008
IEEE
14 years 2 months ago
Video summarization with supervised learning
We present a video summarization technique based on supervised learning. Within a class of videos of similar nature, user provides the desired summaries for a subset of videos. Ba...
Jayanta Basak, Varun Luthra, Santanu Chaudhury
ICDM
2008
IEEE
142views Data Mining» more  ICDM 2008»
14 years 2 months ago
Unsupervised Face Annotation by Mining the Web
Searching for images of people is an essential task for image and video search engines. However, current search engines have limited capabilities for this task since they rely on ...
Duy-Dinh Le, Shin'ichi Satoh