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ICIP
2006
IEEE
16 years 28 days ago
Compressive Sampling Vs. Conventional Imaging
Compressive sampling (CS), or “Compressed Sensing,” has recently generated a tremendous amount of excitement in the image processing community. CS involves taking a relatively...
Jarvis Haupt, Robert Nowak
ICMCS
2006
IEEE
136views Multimedia» more  ICMCS 2006»
16 years 28 days ago
Enhanced Semi-Supervised Learning for Automatic Video Annotation
For automatic semantic annotation of large-scale video database, the insufficiency of labeled training samples is a major obstacle. General semi-supervised learning algorithms can...
Meng Wang, Xian-Sheng Hua, Li-Rong Dai, Yan Song
ICMCS
2006
IEEE
97views Multimedia» more  ICMCS 2006»
16 years 28 days ago
Fast Progressive Model Refinement Global Motion Estimation Algorithm with Prediction
Global Motion Estimation (GME) is an important part in the object-based applications. In this paper, a fast progressive model refinement (FPMR) GME algorithm is proposed. It can s...
Haifeng Wang, Jia Wang, Qingshan Liu, Hanqing Lu
ICMCS
2006
IEEE
189views Multimedia» more  ICMCS 2006»
16 years 28 days ago
Multiscale Edge-Based Text Extraction from Complex Images
Text that appears in images contains important and useful information. Detection and extraction of text in images have been used in many applications. In this paper, we propose a ...
Xiaoqing Liu, Jagath Samarabandu
ICPADS
2006
IEEE
16 years 28 days ago
Ensuring Fairness Among Participating Clusters During Multi-site Parallel Job Scheduling
Multi-cluster schedulers can dramatically improve average job turn-around time performance by making use of fragmented node resources available throughout the grid. By carefully m...
William M. Jones, Walter B. Ligon III