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» Unsupervised Learning of Invariant Features Using Video
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CVPR
2007
IEEE
14 years 11 months ago
Boosting Coded Dynamic Features for Facial Action Units and Facial Expression Recognition
It is well known that how to extract dynamical features is a key issue for video based face analysis. In this paper, we present a novel approach of facial action units (AU) and ex...
Peng Yang, Qingshan Liu, Dimitris N. Metaxas
ICANN
2005
Springer
14 years 2 months ago
Image Segmentation by Complex-Valued Units
Spike synchronisation and de-synchronisation are important for feature binding and separation at various levels in the visual system. We present a model of complex valued neuron ac...
Cornelius Weber, Stefan Wermter
ICIP
2008
IEEE
14 years 3 months ago
Gradual transition detection using color coherence and other criteria in a video shot meta-segmentation framework
Shot segmentation provides the basis for almost all high-level video content analysis approaches, validating it as one of the major prerequisites for efficient video semantic ana...
Efthymia Tsamoura, Vasileios Mezaris, Ioannis Komp...
ICDE
2006
IEEE
156views Database» more  ICDE 2006»
14 years 2 months ago
Video Database Modeling and Temporal Pattern Retrieval using Hierarchical Markov Model Mediator
The dream of pervasive multimedia retrieval and reuse will not be realized without incorporating semantics in the multimedia database. As video data is penetrating many informatio...
Na Zhao, Shu-Ching Chen, Mei-Ling Shyu
ICCV
2011
IEEE
12 years 9 months ago
A Linear Subspace Learning Approach via Sparse Coding
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
Lei Zhang, Pengfei Zhu, Qinghu Hu, David Zhang