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ICIP
2006
IEEE
14 years 7 months ago
Knowledge-Based Supervised Learning Methods in a Classical Problem of Video Object Tracking
In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: Support Vector M...
Lionel Carminati, Jenny Benois-Pineau, Christian J...
ICIP
2001
IEEE
14 years 7 months ago
Non-sequential video structuring based on video object linking: an efficient tool for video browsing and indexing
An efficient system for unsupervised structuring of stereoscopic sequences is presented in this paper, which generates links between similar VOPs of different shots. Particularly ...
Klimis S. Ntalianis, Nikolaos D. Doulamis, Anastas...
CVPR
2007
IEEE
14 years 7 months ago
Semantic Hierarchies for Visual Object Recognition
In this paper we propose to use lexical semantic networks to extend the state-of-the-art object recognition techniques. We use the semantics of image labels to integrate prior kno...
Marcin Marszalek, Cordelia Schmid
CIVR
2003
Springer
107views Image Analysis» more  CIVR 2003»
13 years 10 months ago
Fast Video Retrieval under Sparse Training Data
Feature selection for video retrieval applications is impractical with existing techniques, because of their high time complexity and their failure on the relatively sparse trainin...
Yan Liu, John R. Kender
ICCV
2009
IEEE
13 years 11 months ago
Joint Pose Estimator and Feature Learning for Object Detection
A new learning strategy for object detection is presented. The proposed scheme forgoes the need to train a collection of detectors dedicated to homogeneous families of poses, an...
Karim Ali, Francois Fleuret, David Hasler and Pasc...