TIP
2010
12 years 11 months ago
2010
Motion-Compensated Frame Interpolation (MCFI) is a technique used extensively for increasing the temporal frequency of a video sequence. In order to obtain a high quality interpola...
TIP
2010
12 years 11 months ago
2010
This paper addresses variational supervised texture segmentation. The main contributions are twofold. First, the proposed method circumvents a major problem related to classical t...
TIP
2010
12 years 11 months ago
2010
Multiscale error diffusion (MED) is superior to conventional error diffusion algorithms as it can eliminate directional hysteresis completely and possesses a good blue noise chara...
TIP
2010
12 years 11 months ago
2010
For streaming scalably compressed video streams over unreliable networks, Limited-Retransmission Priority Encoding Transmission (LR-PET) outperforms PET remarkably since the opport...
TIP
2010
12 years 11 months ago
2010
The emergence of low-cost sensing architectures for diverse modalities has made it possible to deploy sensor networks that capture a single event from a large number of vantage po...
TIP
2010
12 years 11 months ago
2010
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
TIP
2010
12 years 11 months ago
2010
One weakness in the existing interactive image segmentation algorithms is the lack of more intelligent ways to understand the intention of user inputs. In this paper, we advocate t...
TIP
2010
12 years 11 months ago
2010
Software realizations of computationally-demanding image processing tasks (e.g. image transforms and convolution) do not currently provide graceful degradation when their clock-cy...
TIP
2010
12 years 11 months ago
2010
We propose to model the image differentials of astrophysical source maps by Student's t-distribution and to use them in the Bayesian source separation method as priors. We int...
TIP
2010
12 years 11 months ago
2010
Multivariate image segmentation is a challenging task, influenced by large intraclass variation that reduces class distinguishability as well as increased feature space sparseness ...