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EMMCVPR
2007
Springer
16 years 23 days 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»
16 years 19 days 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 10 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 10 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
16 years 8 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, ...