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» Deriving Intrinsic Images from Image Sequences
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ICASSP
2011
IEEE
13 years 2 months ago
Causal signal recovery from U-invariant samples
Causal processing of a signal’s samples is crucial in on-line applications such as audio rate conversion, compression, tracking and more. This paper addresses the problem of cau...
Tomer Michaeli, Yonina C. Eldar, Volker Pohl
WWW
2007
ACM
14 years 11 months ago
Deriving knowledge from figures for digital libraries
Figures in digital documents contain important information. Current digital libraries do not summarize and index information available within figures for document retrieval. We pr...
Xiaonan Lu, James Ze Wang, Prasenjit Mitra, C. Lee...
CVPR
2006
IEEE
15 years 7 days ago
Edge Suppression by Gradient Field Transformation Using Cross-Projection Tensors
We propose a new technique for edge-suppressing operations on images. We introduce cross projection tensors to achieve affine transformations of gradient fields. We use these tens...
Amit K. Agrawal, Ramesh Raskar, Rama Chellappa
ICIP
2003
IEEE
14 years 12 months ago
Graph-based object tracking
This paper proposes a model-based methodology for recognizing and tracking objects in digital image sequences. Objects are represented by attributed relational graphs (or ARGs), w...
Cristina Gomila, Fernand Meyer
CBMS
2003
IEEE
14 years 3 months ago
Retrieval by Content of Medical Images Using Texture for Tissue Identification
This work aims at supporting the retrieval and indexing of medical images by extracting and organizing intrinsic features of them, more specifically texture attributes from images...
Joaquim Cezar Felipe, Agma J. M. Traina, Caetano T...