In this paper, we present a general framework for analysis of plenoptic sampling by investigating the spectral analysis of plenoptic imaging. The proposed framework provides a uni...
Seeded image segmentation is a popular type of supervised image segmentation in computer vision and image processing. Previous methods of seeded image segmentation treat the image...
In this paper, we propose a unified framework, called Markov Model Mediator (MMM), to facilitate image database clustering and to improve the query performance. The structure of t...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
Classical linear wavelet representations of images have the drawback that they are not well-suited to represent edge information. To overcome this problem, nonlinear multiresoluti...
We consider diversity for media streaming in a receiver-driven rate-distortion optimization framework. Diversity is achieved by requesting media packets from multiple servers. A f...