We present a novel and intuitive framework for building modular vision systems for complex tasks such as surveillance applications. Inspired by graphical models, especially factor...
Binary segmentation, a problem of extracting foreground objects from the background, often arises in medical imaging and document processing. Popular existing solutions include Ex...
Wavelet transform based image coding algorithms have the two inherent scalable features of SNR scalability and spatial (or resolution) scalability. However, fine scalability is sup...
This paper presents a new algorithm for synthesising image texture. Texture synthesis is an important process in image postproduction. Previous approaches can be classified as eit...
As a key part of universal source coding, context quantization is very important for improving compression performance. However, in most existing methods, the quantizer is trained...
We investigate data hiding techniques that attempt to defeat steganalysis by restoring the statistics of the composite image to resemble that of the cover. The approach is to rese...
In this work, we analytically study the complexity-performance trade-offs associated with video codecs based on the principle of source coding with side information at the decoder...
A new method for the blind separation of linear image mixtures is presented in this paper. Such mixtures often occur, when, for example, we photograph a scene through a semireflec...
Konstantinos I. Diamantaras, Theophilos Papadimitr...
In this paper, a multi-view face pose classification method is introduced. Each face region is normalized by two eye-centers and mouth center, and then multi-class classifiers are...
We consider the bit allocation problem in multiview video coding (MVC). A dependent coding technique using trellis expansion and the Viterbi algorithm (VA) is proposed, which take...