Periodic Properties Of Resampled Images
Mahdian, Babak; Saic, Stanislav
2007 - English In recent years, due to the advent of high-performance commodity hardware and improved human computer interfaces, it has become relatively easy to create fake images. Modern, image processing software enables forgeries that are undetectable by the naked eye. Typically, to create high quality and consistent forgeries, several types of tampering techniques are employed simultaneously. One of the most often used techniques is resampling. When two or more images are spliced together, in order to create a consistent tampering, almost always geometric transformations such as scaling or rotation are needed. In this work we propose an effective method to automatically detect resampled portion of images. Generally, resampling is based on an interpolation procedure. We study specific periodic properties presence in interpolated signals and use this for our detection method. We demonstrate our results on several examples. V současné době díky vysoce výkonným počítačům a zdokonaleným počítačovým periferiím, je možné vcelku snadno upravovat digitální fotografie. Moderní programy na zpracování obrazů umožňují vytořit padělky fotografií, které nejsou rozpoznatelné prostým okem. Jednou z nejčastějších technik takových úprav je převzorkování jedné fotografie a spojení s druhou, při tom je použita změna měřítka a případné otočení části obrazu. V této práci je navržena metoda, která automaticky detekuje převzorkovanou část obrazu. Výsledky a použitelnost metody je ukázána na řadě příkladů Keywords: image processing; image tampering; resampling Available at various institutes of the ASCR Periodic Properties Of Resampled Images

In recent years, due to the advent of high-performance commodity hardware and improved human computer interfaces, it has become relatively easy to create fake images. Modern, image processing ...

Mahdian, Babak; Saic, Stanislav
Ústav teorie informace a automatizace, 2007

Modelling Self-Adaptive Networked Entities in Matlab/Simulink
Bartosinski, Roman; Daněk, Martin; Honzík, Petr; Kadlec, Jiří
2007 - English Recent developments in the digital technology make it cheaper and thus more accessible to an ordinary citizen. Currently almost any everyday device (car, fridge, cell phone) equipped with an electronic intelligence uses a programmable processing element. As the number of such networked devices will likely increase, and given the increased stress on low power consumption due to more strict environmental limitations, it is necessary to research novel techniques to program and use electronic devices more efficiently. This paper presents a framework for building and modeling new-generation self-adaptive systems. The first part of the paper describes an FPGA platform that implements a self-adaptive computing networked entity (SANE) that forms the basic element of the approach. The second part of the article describes a simulation and implementation framework in Matlab/Simulink for developing SANEs in FPGAs. Poslední výzkumy v oblasti digitální technologie je zlevňují a zpřístupňují běžným občanům. Zároveň je většina každodenních zařízení (auta, lednice, mobilní telefony) vybavena elektronickou inteligencí s programovatelnými procesorovými prvky. Jak se počet takových propojených zařízení zvyšuje a při tom se zvyšuje tlak na snížení spotřeby energie, je nutné hledat nové techniky programování a používání zařízení efektivněji. Tento článek ukazuje základ pro vytváření a modelování nové generace sebeadaptujících systémů. První část popisuje platformu s FPGA pro implementaci sebeadaptivních propojených výpočetních prvků (Self-Adaptive Computing Networked Entity - SANE). Druhá část popisuje simulaci a základ implementace v prostředí Matlab/Simulink pro vývoj SANE v FPGA. Keywords: SANE; self-adaptive system; FPGA; simulation Available at various institutes of the ASCR Modelling Self-Adaptive Networked Entities in Matlab/Simulink

Recent developments in the digital technology make it cheaper and thus more accessible to an ordinary citizen. Currently almost any everyday device (car, fridge, cell phone) equipped with an ...

Bartosinski, Roman; Daněk, Martin; Honzík, Petr; Kadlec, Jiří
Ústav teorie informace a automatizace, 2007

On Divergences of Finite Measures and their Statistical Applicability
Stummer, W.; Vajda, Igor
2007 - English Keywords: divergences of finite measures; Pinsker's inequality; statistical censoring; Bayesian decisions Available at various institutes of the ASCR On Divergences of Finite Measures and their Statistical Applicability

Stummer, W.; Vajda, Igor
Ústav teorie informace a automatizace, 2007

Selection of Most Informative Variables in Statistical Pattern Recognition
Pudil, Pavel; Somol, Petr; Haindl, Michal
2007 - English The research report gives an overview of feature selection techniques in statistical pattern recognition with particular emphasis to methods developed by the researchers participating in MATEO Centre of Mechatronics project. Besides discussing the advances in methodology it attempts to put them into a taxonomical framework. The methods discussed include the latest variants of the optimal algorithms, enhanced sub-optimal techniques and the simultaneous semi-parametric probability density function modelling and feature space selection method. Some related issues are illustrated on real data by means of the Feature Selection Toolbox software. Výzkumná zpráva obsahuje přehled metod výběru příznaků ve statistickém rozpoznávání s důrazem na metody vyvinuté výzkumníky projektu MATEO Centre of Mechatronics. Diskutované metody zahrnují nejnovější verze optimalizačních algoritmů, sub-optimální techniky a modelování simultánní semi-parametrické pravděpodobnostní hustoty a metody výběru příznaků. Metody jsou ilustrované na reálných datech pomocí programu Feature Selection Toolbox. Keywords: feture selection Available at various institutes of the ASCR Selection of Most Informative Variables in Statistical Pattern Recognition

The research report gives an overview of feature selection techniques in statistical pattern recognition with particular emphasis to methods developed by the researchers participating in MATEO Centre ...

Pudil, Pavel; Somol, Petr; Haindl, Michal
Ústav teorie informace a automatizace, 2007

Using imsets for learning Bayesian networks
Vomlel, Jiří; Studený, Milan
2007 - English This paper describes a modification of the greedy equivalence search (GES) algorithm. The presented modification is based on the algebraic approach to learning. The states of the search space are standard imsets. Each standard imset represents an equivalence class of Bayesian networks. For a given quality criterion the database is represented by the respective data imset. This allows a very simple update of a given quality criterion since the moves between states are represented by differential imsets. We exploit a direct characterization of lower and upper inclusion neighborhood, which allows an efficient search for the best structure in the inclusion neighborhood. The algorithm was implemented in R and is freely available. Článek popisuje implementaci hladového algoritmu pro učení baysovských sítí. Algoritmus je založen na algebraických objektech - tzv. imsetech a na prohledávání tzv. inkluzivního okolí. Keywords: Bayesian networks; artificial intelligence; probabilistic graphical models; machine learning Available at various institutes of the ASCR Using imsets for learning Bayesian networks

This paper describes a modification of the greedy equivalence search (GES) algorithm. The presented modification is based on the algebraic approach to learning. The states of the search space are ...

Vomlel, Jiří; Studený, Milan
Ústav teorie informace a automatizace, 2007

An evaluation of string similarity measures on pricelists of computer components
Jiroušek, Radim; Kratochvíl, Václav; Kroupa, Tomáš; Lněnička, Radim; Studený, Milan; Vomlel, Jiří; Hampl, P.; Hamplová, H.
2007 - English The paper presents new results of experimental research on string similarity measures on pricelists of computer components. The first results were already presented at the Eighth Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty in Třešť. Článek popisuje výsledky experimentálního výzkumu metod porovnávání textových řetězců. Experimenty byly prováděny s ceníky počítačových komponent. Keywords: artificial intelligence; automatic text retrieval Available at various institutes of the ASCR An evaluation of string similarity measures on pricelists of computer components

The paper presents new results of experimental research on string similarity measures on pricelists of computer components. The first results were already presented at the Eighth Czech-Japan ...

Jiroušek, Radim; Kratochvíl, Václav; Kroupa, Tomáš; Lněnička, Radim; Studený, Milan; Vomlel, Jiří; Hampl, P.; Hamplová, H.
Ústav teorie informace a automatizace, 2007

Application of Phi-divergence to Estimation in Continuous Families
Vajda, Igor
2007 - English Application of Phi-divergence to Estimation in Continuous Families Keywords: probabilistic measure; statistical estimation; phi-divergence Available at various institutes of the ASCR Application of Phi-divergence to Estimation in Continuous Families

Application of Phi-divergence to Estimation in Continuous Families

Vajda, Igor
Ústav teorie informace a automatizace, 2007

Analysis of Meteorological Images for Storm Detection in Short-term Weather Forecast
Vaníčková, P.; Šroubek, Filip
2007 - English Analysis of Meteorological Images for Storm Detection in Short-term Weather Forecast Keywords: Image processing; Weather forecasting; Storm detection Available at various institutes of the ASCR Analysis of Meteorological Images for Storm Detection in Short-term Weather Forecast

Analysis of Meteorological Images for Storm Detection in Short-term Weather Forecast

Vaníčková, P.; Šroubek, Filip
Ústav teorie informace a automatizace, 2007

Toolbox Jobcontrol with GUI. Program
Novák, Miroslav; Tesař, Ludvík
2007 - English Jobcontrol is a toolbox merging a user-friendly graphical user interface with a powerful set of utilities for system identification employing Gaussian mixture model. It is implemented as a set of M-scripts and MEX-binary executables for the Matlab computing environment. It suits to the goal of finding a suitable structure for the given data and then it creates the optimal controller by tuning its parameters to fit the user's requirements. Keywords: Controller design; System identification Available at various institutes of the ASCR Toolbox Jobcontrol with GUI. Program

Jobcontrol is a toolbox merging a user-friendly graphical user interface with a powerful set of utilities for system identification employing Gaussian mixture model. It is implemented as a set of ...

Novák, Miroslav; Tesař, Ludvík
Ústav teorie informace a automatizace, 2007

On Structure of Predictors Allowing Distributed Dynamic Bayesian Decision-Making
Šmídl, Václav
2007 - English Decentralized adaptive control is based on the use of many local controllers in parallel, each of them estimating its own local model and pursuing its local aims. If each controller designs its strategy using only its own model, the resulting control may be poor since consequences of actions of the neighbors are not taken into account. We seek a way how to improve algorithm of decision strategy design of a single local controller without significant increase in complexity of the local model or complexity of the design procedure. In this paper we study variants of distributed dynamic programming that could be evaluated locally. Specifically, we will investigate variants of the fully probabilistic control strategy design. Distributed and cen- tralized control strategies will be compared. Distribuované adaptivní řízení spočívá v paralelním běhu několika adaptivních regulátorů, z nichž každý odhaduje svůj model a navrhuje valstní strategii řízení. Pokud by takový regulátor nevzal do úvahy přítomnost ostatních regulátorů, může dojít k nežádoucímu chování. V této práci se zabýváme Bayesovským přístupem k problému. Cílem je zjistit jaká struktura centralizovaného prediktoru umožňuje návrh distribuované strategie. Keywords: distributed control; Bayesian decision-making; decentralized adaptive control; dynamic programming Available at various institutes of the ASCR On Structure of Predictors Allowing Distributed Dynamic Bayesian Decision-Making

Decentralized adaptive control is based on the use of many local controllers in parallel, each of them estimating its own local model and pursuing its local aims. If each controller designs its ...

Šmídl, Václav
Ústav teorie informace a automatizace, 2007