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16 years 1 months ago
Probabilistic Parameter Selection for Learning Scene Structure from Video
We present an online learning approach for robustly combining unreliable observations from a pedestrian detector to estimate the rough 3D scene geometry from video sequences of a...
Michael D. Breitenstein, Eric Sommerlade, Bastian ...
IJCV
2008
167views more  IJCV 2008»
15 years 1 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...
WIAMIS
2009
IEEE
15 years 8 months ago
The fast-3D spatio-temporal interest region detector
Spatio-temporal interest region detectors can be used in the analysis of video to determine sparse, informative regions as candidates for feature extraction. In this paper we comp...
Sander Koelstra, Ioannis Patras
ICIP
2003
IEEE
16 years 3 months ago
Anisotropic 3-D wavelet packet bases for video coding
Video coding algorithms based on 3-D wavelet transforms exist which have a competitive rate-distortion performance and are very fast because motion compensation is not needed. The...
Rade Kutil
ICIP
2002
IEEE
16 years 3 months ago
Rule-based semantic summarization of instructional videos
We present a new content-based approach to summarize instructional videos. We first redefine "scene" in instructional videos. Focusing on one dominant scene type, that o...
Tiecheng Liu, John R. Kender