Plenary Lecture

The Acquired Knowledge in Data Compression

Professor Bruno Carpentieri
Department of Computer Science
University of Salerno

Abstract: Digital Data Compression is today a hot topic. Without compression we would not have digital television, cellular phones and digital communication in general. Data compression, clustering, learning are all facets of the same multidimensional coin and the knowledge deriving from the data compression process can also be used for learning and clustering. In this talk we will review some of the recent advances in the field and exploit the relationship between compression, learning and clustering.

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 and he is currently Associate Editor for the journal Algorithms (MDPI). He was chair and organizer of the International Conferences on Data Compression, Communication and Processing 2016 and 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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