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» Learning Layered Pictorial Structures from Video
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ECCV
2006
Springer
16 years 3 months ago
Spatio-temporal Embedding for Statistical Face Recognition from Video
Abstract. This paper addresses the problem of how to learn an appropriate feature representation from video to benefit video-based face recognition. By simultaneously exploiting th...
Wei Liu, Zhifeng Li, Xiaoou Tang
ICIP
2004
IEEE
16 years 3 months ago
Layered motion estimation and coding for fully scalable 3d wavelet video coding
This paper proposes a framework of scalable motion estimation and coding with the structure of multi-layers for 3D wavelet video coding. The motion representation consists of mult...
Ruiqin Xiong, Jizheng Xu, Feng Wu, Shipeng Li, Ya-...
CVPR
2009
IEEE
16 years 9 months ago
Understanding Videos, Constructing Plots - Learning a Visually Grounded Storyline Model from Annotated Videos
Analyzing videos of human activities involves not only recognizing actions (typically based on their appearances), but also determining the story/plot of the video. The storyline...
Abhinav Gupta (University of Maryland), Praveen Sr...
CVPR
2009
IEEE
15 years 8 months ago
Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos
Analyzing videos of human activities involves not only recognizing actions (typically based on their appearances), but also determining the story/plot of the video. The storyline ...
Abhinav Gupta, Praveen Srinivasan, Jianbo Shi, Lar...
ICPR
2006
IEEE
16 years 2 months ago
Exploiting High Dimensional Video Features Using Layered Gaussian Mixture Models
Analysis of video data usually requires training classifiers in high dimensional feature spaces. This paper proposes a layered Gaussian mixture model (LGMM) to exploit high dimens...
Datong Chen, Jie Yang