Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

Information-hiding techniques have recently become important in a number of application areas. Digital audio, video, and pictures are increasingly furnished with distinguishing but imperceptible marks, which may contain a hidden copyright notice or serial number or even help to prevent unauthorized copying directly. Military communications systems make increasing use of traffic security techniques which, rather than merely concealing the content of a message using encryption, seek to conceal its sender, its receiver, or its very existence. Similar techniques are used in some mobile phone systems and schemes proposed for digital elections. Criminals try to use whatever traffic security properties are provided intentionally or otherwise in the available communications systems, and police forces try to restrict their use. However, many of the techniques proposed in this young and rapidly evolving field can trace their history back to antiquity, and many of them are surprisingly easy to circumvent. In this article, we try to give an overview of the field, of what we know, what works, what does not, and what are the interesting topics for research.

/pdf/information-hiding-a-survey-wve0ipfu9n.pdf

Information hiding-a survey

Stable non-Gaussian random processes , by G. Samorodnitsky and M. S. Taqqu. Pp. 632. £49.50. 1994. ISBN 0-412-05171-0 (Chapman and Hall).

The objective of this paper is to give a comprehensive introduction to applied cryptography with an engineer or computer scientist in mind. The emphasis is on the knowledge needed to create practical systems which supports integrity, confidentiality, or authenticity. Topics covered includes an introduction to the concepts in cryptography, attacks against cryptographic systems, key use and handling, random bit generation, encryption modes, and message authentication codes. Recommendations on algorithms and further reading is given in the end of the paper. This paper should make the reader able to build, understand and evaluate system descriptions and designs based on the cryptographic components described in the paper.

[서평]「Applied Cryptography」

This article reviews the requirements for successful compressed sensing (CS), describes their natural fit to MRI, and gives examples of four interesting applications of CS in MRI. The authors emphasize on an intuitive understanding of CS by describing the CS reconstruction as a process of interference cancellation. There is also an emphasis on the understanding of the driving factors in applications, including limitations imposed by MRI hardware, by the characteristics of different types of images, and by clinical concerns.

/pdf/compressed-sensing-mri-2wgw41cvre.pdf

Compressed Sensing MRI

We propose an innovative environment for presenting products through the Internet using modern visualization techniques and providing high level of interaction with the user. The environment consists of three main modules, namely a) the scene-authoring tool, b) the interactive scene-viewer and c) the assembly-demonstration tool. These modules are bound together with the utilization of a robust ontology-based knowledge management system

Ontology based interactive graphic environment for product presentation

Dynamic texture recognition and localization in machine vision for outdoor environments

In this paper, a novel method is proposed able to automatically generate accurate 3D models of both outdoor buildings and indoor scenes with perspective cues from line segments that are automatically extracted from a single image with an uncalibrated camera. The proposed method uses geometric constraints and knowledge of photography and achieves an accurate, real-time and fully automated 3D reconstruction of the scene without any intervention from the user.

https://www.iti.gr/iti/files/document/publications/ACM2010-Daras.pdf

3D reconstruction of indoor and outdoor building scenes from a single image

In this paper, a novel algorithm for the real-time, unsupervised segmentation of image sequences in the compressed domain is proposed. The algorithm utilizes the motion information present in the compressed stream in the form of P-frame forward motion vectors, as well as basic color information in the form of DC coefficients present in I-frames. An iterative rejection scheme based on the bilinear motion model is used for performing foreground/background segmentation. Further examining the temporal consistency of the output of iterative rejection, clustering to connected regions and performing region tracking, results to foreground spatiotemporal objects being formed. Background segmentation to spatiotemporal objects is also performed. Experimental results on known sequences demonstrate the efficiency of the proposed approach and reveal the potential of employing it in content-based applications such as objectbased video indexing and retrieval.

https://mklab.iti.gr/files/pdf/cbmi03_1.pdf

Real-time compressed-domain spatiotemporal video segmentation

A novel combined frequency and spatial domain method is presented in this paper for blockiness reduction for low bit rate compressed images. The method consists of two stages: in the first, better estimates of the reconstructed DCT coefficients are obtained based on their observed probability distribution. In the second, an efficient postprocessing scheme consisting of a region classification algorithm and a spatial adaptive filtering is applied for blockiness removal. The type of filtering is decided on the basis of an estimation of the local characteristics of the coded image. The main advantage of the proposed method is the efficient combination and design of these two stages which are acting complementarily for the reduction of blocking artifacts. This approach is shown to produce excellent results in removing blocking artifacts. The efficient performance of the proposed algorithm is due, firstly, to the proposition that the shape and the position of the filter kernel are adjusted according to the characteristics of the local image region and secondly, to the employment of the modified improved DCT coefficients by the postprocessing filter. Experimental results illustrating the performance of the proposed method are presented and evaluated.

/pdf/combined-frequency-and-spatial-domain-algorithm-for-the-2nxk2746z7.pdf

Michael G. Strintzis

Papers

Ontology based interactive graphic environment for product presentation

Dynamic texture recognition and localization in machine vision for outdoor environments

3D reconstruction of indoor and outdoor building scenes from a single image

Real-time compressed-domain spatiotemporal video segmentation

Combined frequency and spatial domain algorithm for the removal of blocking artifacts