Abstract: Compression is the coding of data to minimize its representation. In compressed form data can be stored more compactly and transmitted more rapidly. Recent advances in compression span a wide range of applications. For example Internet and the World Wide Web infrastructures benefits from compression, search engines can extend the idea of sketches that work for text files, image, speech or music data, etc.. Additionally, new general compression methods are always being developed, in particular those that allow indexing over compressed data or error resilience. Compression also inspires information theoretic tools for pattern discovery and classification, especially for biosequences. Today we know that data compression, data prediction, data classification, learning and data mining are facets of the same (multidimensional) coin. In this talk we will review some of the recent advances in the field and discover uncommon applications of data compression.

Brief Biography of the Speaker:
Bruno Carpentieri (Member, IEEE) 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 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.