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» The Challenges of Automatic Summarization
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ICMCS
2006
IEEE
182views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Using Semantic Features for Scene Classification: how Good do they Need to Be?
Semantic scene classification is a useful, yet challenging problem in image understanding. Most existing systems are based on low-level features, such as color or texture, and suc...
Matthew R. Boutell, Anustup Choudhury, Jiebo Luo, ...
ISBI
2006
IEEE
14 years 3 months ago
Automated detection of stable fracture points in computed tomography image sequences
Automated detection of stable fracture points in a sequence of Computed Tomography (CT) images is found to be a challenging task. In this paper, an innovative scheme for automatic...
Ananda S. Chowdhury, Suchendra M. Bhandarkar, Gaur...
SMI
2006
IEEE
135views Image Analysis» more  SMI 2006»
14 years 3 months ago
Laplace-Beltrami Eigenfunctions Towards an Algorithm That "Understands" Geometry
One of the challenges in geometry processing is to automatically reconstruct a higher-level representation from raw geometric data. For instance, computing a parameterization of a...
Bruno Lévy
ACCV
2006
Springer
14 years 3 months ago
Inducing Semantic Segmentation from an Example
Segmenting an image into semantically meaningful parts is a fundamental and challenging task in computer vision. Automatic methods are able to segment an image into coherent region...
Yaar Schnitman, Yaron Caspi, Daniel Cohen-Or, Dani...
ISSTA
2006
ACM
14 years 3 months ago
Analyzing architectural styles with alloy
The backbone of many architectures is an architectural style that provides a domain-specific design vocabulary and set of constraints on how that vocabulary can be used. Hence, d...
Jung Soo Kim, David Garlan