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» The Challenges of Automatic Summarization
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ICMCS
2006
IEEE
182views Multimedia» more  ICMCS 2006»
16 years 12 days 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
16 years 12 days 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»
16 years 11 days 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
16 years 11 days 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
16 years 10 days 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