Plenary Lecture

Data Compression Today: A Journey through Better Understanding Data

Professor Bruno Carpentieri
Department of Computer Science
University of Salerno

Abstract: Digital data compression is aimed today by the economic need to save bandwidth in communication. As recent researches have shown, data compression, clustering, data classification and learning are all facets of the same multidimensional coin and data compression is strictly bound to efficient learning.
In this talk we will review the current state of the art in the field and we will exploit the relationship between data compression and the knowledge that can be acquired through the compression process.

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 for many years Associate editor of the journal IEEE Trans. on Image Processing. He was 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 Conference.
He has been responsible for various European Commission contracts regarding image and video compression and digital movies.

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