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CVPR
2008
IEEE
14 years 10 months ago
Hierarchical, learning-based automatic liver segmentation
In this paper we present a hierarchical, learning-based approach for automatic and accurate liver segmentation from 3D CT volumes. We target CT volumes that come from largely dive...
Haibin Ling, Shaohua Kevin Zhou, Yefeng Zheng, Bog...
ECCV
2002
Springer
14 years 10 months ago
Probabilistic Search for Object Segmentation and Recognition
Abstract. The problem of searching for a model-based scene interpretation is analyzed within a probabilistic framework. Object models are formulated as generative models for range ...
Ulrich Hillenbrand, Gerd Hirzinger
ICIP
2006
IEEE
14 years 10 months ago
Denoising Archival Films using a Learned Bayesian Model
We develop a Bayesian model of digitized archival films and use this for denoising, or more specifically de-graining, individual frames. In contrast to previous approaches our mod...
Teodor Mihai Moldovan, Stefan Roth, Michael J. Bla...
ICIP
2005
IEEE
14 years 10 months ago
A generic and automatic content-based approach for improved H.264/MPEG4-AVC video coding
A new content-based approach for improved H.264/MPEG4-AVC video coding is presented. The framework is generic because it is based on a closed-loop texture analysis by synthesis alg...
Patrick Ndjiki-Nya, Tobias Hinz, Aljoscha Smolic, ...
ICPR
2004
IEEE
14 years 10 months ago
Probabilistic Combination of Multiple Modalities to Detect Interest
This paper describes a new approach to combine multiple modalities and applies it to the problem of affect recognition. The problem is posed as a combination of classifiers in a p...
Ashish Kapoor, Rosalind W. Picard, Yuri Ivanov