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» Unsupervised Learning of Invariant Features Using Video
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ICPR
2010
IEEE
13 years 11 months ago
Lipreading: A Graph Embedding Approach
In this paper, we propose a novel graph embedding method for the problem of lipreading. To characterize the temporal connections among video frames of the same utterance, a new di...
Ziheng Zhou, Guoying Zhao, Matti Pietikäinen
AMFG
2007
IEEE
315views Biometrics» more  AMFG 2007»
14 years 3 months ago
Structured Ordinal Features for Appearance-Based Object Representation
In this paper, we propose a novel appearance-based representation, called Structured Ordinal Feature (SOF). SOF is a binary string encoded by combining eight ordinal blocks in a ci...
ShengCai Liao, Zhen Lei, Stan Z. Li, Xiaotong Yuan...
MM
2005
ACM
150views Multimedia» more  MM 2005»
14 years 2 months ago
Exciting event detection in broadcast soccer video with mid-level description and incremental learning
In this paper, we propose a method for exciting event detection in broadcast soccer video with mid-level description and SVM-based incremental learning. In the method, video frame...
Qixiang Ye, Qingming Huang, Wen Gao, Shuqiang Jian...
MVA
2007
178views Computer Vision» more  MVA 2007»
13 years 10 months ago
Linear Tracking of Pose and Facial Features
We present an approach for simultaneous monocular 3D face pose and facial animation tracking. The pose and facial features are estimated from observed raw brightness shape-free 2D...
José Alonso Ybáñez Zepeda, Fr...
DAGM
2007
Springer
14 years 25 days ago
How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye Movements
Interest point detection in still images is a well-studied topic in computer vision. In the spatiotemporal domain, however, it is still unclear which features indicate useful inter...
Wolf Kienzle, Bernhard Schölkopf, Felix A. Wi...