Odjel za obradu signala uključuje znanstvena područja poput teorije signala i sustava, teorije i primjene kodiranja, uporabe filtara, prijenosa signala, estimacije, detekcije, analize, prepoznavanja, sinteze te reprodukcije signala digitalnim ili analognim uređajima i tehnikama. Pojam signala uključuje audio i video signale, govor, slike, komunikacije, signal sonara, radara kao i medicinske, glazbene i druge signale.
Odjel za obradu signala
Odjel za obradu signala Hrvatske sekcije IEEE, Hrvatska sekcija IEEE i Zavod za elektroničke sustave i obradbu informacija FER-a vas pozivaju na predavanje iz programa Distinguished Lecturer/Speaker Program
"Information Embedding: From Theory to Practice"
Dr. Pierre Moulin (IEEE Signal Processing Society Distinguished Lecturer)
Predavanje će biti održano u petak 5. srpnja 2013. godine s početkom u 11:00 u Sivoj vijećnici Fakulteta elektrotehnike i računarstva. Jezik predavanja je engleski, a predvidio trajanje 90 min. Predavanje je otvoreno za sve zainteresirane, a posebno pozivamo studente diplomskog i poslijediplomskog studija!
Sažetak predavanja i životopis predavača nalaze se u nastavku obavijesti.
University of Illinois
Coordinated Science Laboratory and ECE Department
Sažetak: Watermarking, fingerprinting, and steganography applications require the secure embedding of information bits into a cover signal (such as audio, video, still images, etc.) This talk will present the fundamental concepts and outline practical approaches to such problems. First an overview of applications is given, ranging from Digital rights management to content authentication, transaction tracking, and database annotation. Then the fundamental notions pertaining to information embedding into cover signals are presented, namely signal fidelity, robustness against an adversary, and payload. An information-theoretic model is presented for a generic data hiding problem. Analysis of this model yields the notion of data-hiding capacity and sheds light into what is the structure of good data-hiding codes. Spread-spectrum and binning codes are discussed in this context. The final part of the talk shows an application of the theory to a problem of hiding data in an image.
Biografija: Pierre Moulin (F) received his engineer degree from the Ecole Polytechnique of Mons, Belgium, and his doctorate from Washington University in St. Louis (1990). After working as a Research Scientist for Bell Communications Research in Morristown, New Jersey, he joined the University of Illinois as Assistant Professor (1996) and later became Associate Professor (1999) and Professor (2003) in the Department of Electrical and Computer Engineering, Research Professor, Coordinated Science Laboratory; faculty member, Beckman Institute's Image Formation and Processing Group; and affiliate professor, Department of Statistics. He is also a member of the Information Trust Institute and the founding director of the Center for Information Forensics.
Prof. Moulin served as Associate Editor, IEEE Transactions on Information Theory (1996-1998); IEEE Transactions on Image Processing (1999-2002); and as Area Editor (2002-2006). He was co-chair, IEEE Information Theory Workshop on Detection, Estimation and Classification (1999); Guest Editor, IEEE Transactions on Information Theory, Special Issue on Information-Theoretic Imaging (2000); Guest Editor, IEEE Transactions on Signal Processing, Special Issue on Data Hiding (2003); member, IEEE Image and Multidimensional Signal Processing (IMDSP) Technical Committee (1998-2003); and member, IEEE Signal Processing Society Board of Governors (2005-2007). Prof. Moulin is co-founder and Editor-in-Chief, IEEE Transactions on Information Forensics and Security (2005-2008).
Prof. Moulin is a Fellow of IEEE (2003); recipient, 1997 Career award from the National Science Foundation, and of the IEEE Signal Processing Society 1997 Best Paper award in the IMDSP area. He is co-author (with Juan Liu) of a paper that received the IEEE Signal Processing Society 2002 Young Author Best Paper award in the IMDSP area. He was selected as Beckman Associate of UIUC's Center for Advanced Study (2003) and Sony Faculty Scholar (2005-2007). He was on the Dean's list of teachers rated excellent by their students in 1996, 1999, 2000, 2005, and 2007. He was plenary speaker for several conferences including ICASSP’06 and ICIP’11.
Prof. Moulin’s fields of professional interest are: information theory, image and video processing, statistical signal processing and modeling, decision theory, information hiding and authentication, and the application of multiresolution signal analysis, optimization theory, and fast algorithms to these areas.