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EMMCVPR
2007
Springer
15 years 4 months ago
Bayesian Order-Adaptive Clustering for Video Segmentation
Video segmentation requires the partitioning of a series of images into groups that are both spatially coherent and smooth along the time axis. We formulate segmentation as a Bayes...
Peter Orbanz, Samuel Braendle, Joachim M. Buhmann
ICMCS
2006
IEEE
152views Multimedia» more  ICMCS 2006»
15 years 3 months ago
A Novel Model-based Segmentation Approach to Extract Caption Contents on Sports Videos
The study proposes a novel scheme to extract and recognize the caption contents of various sports captions. A caption extraction process based on an iteratively temporal averaging...
Yih-Ming Su, Chaur-Heh Hsieh
ICASSP
2011
IEEE
14 years 1 months ago
Sparse variable reduced rank regression via Stiefel optimization
Reduced rank regression (RRR) has found application in various fields of signal processing. In this paper we propose a novel extension of the RRR model which we call sparse varia...
Magnus O. Ulfarsson, Victor Solo
ICASSP
2011
IEEE
14 years 1 months ago
Sparse coding and dictionary learning based on the MDL principle
The power of sparse signal coding with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical infe...
Ignacio Ramírez, Guillermo Sapiro
ICIP
2005
IEEE
15 years 11 months ago
High-resolution video streaming in mesh-networked homes
Wireless mesh systems offer several advantages for emerging high-bandwidth networks because of their cooperative routing capabilities. In this study, we consider the potential ben...
Ali C. Begen, Yucel Altunbasak, M. Reha Civanlar, ...