Plenary Lecture

Modeling/Coding of Multidimensional Digital Data

Associate Professor Bruno Carpentieri
Department of Computer Science
University of Salerno
ITALY
E-mail: bc@dia.unisa.it

Abstract: State-of-the-art lossless compression schemes can often be subdivided into two distinct and independent phases, modeling and coding. The digital file is observed in a predefined order and then the modeling step is aimed at gathering information about it in the form of a probabilistic model that shall be used for coding.
Multidimensional data are widely used in many real-life applications, for example in medicine and in medical-related tasks, where multidimensional images are today one of the primary sources of information for specialists or surgeons, and also in environmental and climatological studies, where hyperspectral and multidimensional oceanographic data are used in ad-hoc analysis, etc.
In this talk we will show how to apply the modeling/coding paradigm to the compression of multidimensional digital data.

Brief Biography of the Speaker: Bruno Carpentieri received the “Laurea” degree in Computer Science from the University of Salerno, Salerno, Italy, and the M.A. and Ph.D. degrees in Computer Science from the Brandeis University, Waltham, MA, U.S.A.
Since 1991, he has been first Assistant Professor and then Associate Professor of Computer Science at the University of Salerno (Italy).
His research interests include lossless and lossy image compression, video compression and motion estimation, information hiding.
He has been, from 2002 to 2008, Associate Editor of the journal IEEE Trans. on Image Processing.
He was recently chair and organizer of the International Conference on Data Compression, Communication and Processing 2011, co-chair of the International Conference on Compression and Complexity of Sequences, and, for many years, program committee member of the IEEE Data Compression Conferente and of other international Conferences in the field.
He has been responsible for various European Commission contracts regarding image and video compression.

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