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COOPIS
2004
IEEE
13 years 11 months ago
Ontology for Nature-Scene Image Retrieval
This paper presents a framework for building an ontology to provide semantic interpretations in image contents. The novelty of this framework comes from building a MPEG-7 ontology ...
Song Liu, Liang-Tien Chia, Syin Chan
MVA
2007
309views Computer Vision» more  MVA 2007»
13 years 7 months ago
Robust Facial Feature Extraction Using Embedded Hidden Markov Model for Face Recognition under Large Pose Variation
We propose an algorithm for extracting facial features robustly from images for face recognition under large pose variation. Rectangular facial features are retrieved via the by-p...
Ping-Han Lee, Yun-Wen Wang, Jison Hsu, Ming-Hsuan ...
CIVR
2010
Springer
427views Image Analysis» more  CIVR 2010»
13 years 10 months ago
An efficient method for face retrieval from large video datasets
The human face is one of the most important objects in videos since it provides rich information for spotting certain people of interest, such as government leaders in news video,...
Thao Ngoc Nguyen, Thanh Duc Ngo, Duy-Dinh Le, Shin...
CIVR
2003
Springer
133views Image Analysis» more  CIVR 2003»
14 years 19 days ago
A Closer Look at Boosted Image Retrieval
Margin-maximizing techniques such as boosting have been generating excitement in machine learning circles for several years now. Although these techniques offer significant impro...
Nicholas R. Howe
ACCV
2007
Springer
14 years 1 months ago
Fast 3-D Interpretation from Monocular Image Sequences on Large Motion Fields
Abstract. This paper proposes a fast method for dense 3-D interpretation to directly estimate a dense map of relative depth and motion from a monocular sequence of images on large ...
Jong-Sung Kim, Ki-Sang Hong