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ICIP
2008
IEEE
15 years 4 months ago
Time-sequential extraction of motion layers
A new time-sequential approach for motion layer extraction is presented. We assume that the scene can be described by a set of layers associated to affine motion models. In one o...
Matthieu Fradet, Patrick Pérez, Philippe Ro...
PCM
2004
Springer
91views Multimedia» more  PCM 2004»
15 years 3 months ago
Preprocessing of Depth and Color Information for Layered Depth Image Coding
The layered depth image (LDI) is a popular approach to represent three-dimensional objects with complex geometry for image-based rendering (IBR). LDI contains several attribute val...
Seung-Uk Yoon, Sung-Yeol Kim, Yo-Sung Ho
ICONIP
2007
14 years 11 months ago
RNN with a Recurrent Output Layer for Learning of Naturalness
– The behavior of recurrent neural networks with a recurrent output layer (ROL) is described mathematically and it is shown that using ROL is not only advantageous, but is in fac...
Ján Dolinský, Hideyuki Takagi
IJCV
2008
167views more  IJCV 2008»
14 years 9 months ago
Learning Layered Motion Segmentations of Video
We present an unsupervised approach for learning a generative layered representation of a scene from a video for motion segmentation. The learnt model is a composition of layers, ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
ECCV
2002
Springer
15 years 11 months ago
A Layered Motion Representation with Occlusion and Compact Spatial Support
We describe a 2.5D layered representation for visual motion analysis. The representation provides a global interpretation of image motion in terms of several spatially localized fo...
Allan D. Jepson, David J. Fleet, Michael J. Black