Giordano Beretta

dr. sc. tech. ETH, dipl. math.

Topics (8)

Education

  • Apr 1980–
    Dec 1983
    ETH-Z
    Informatik · Dr. Sc. Tech. ETH
    Switzerland · Zürich

Other

  • Languages
    Italiano, Deutsch, Français, English

Publications (17) View all

  • Source
    Article: Color aspects of variable data proofing
    Giordano Beretta
    [show abstract] [hide abstract]
    ABSTRACT: variable data printing, custom printing, pre-flight checking, color perception The Internet in combination with digital presses has allowed the geographical distribution of manufacturing printed materials. An increasing number of printed pieces is customized for the recipient; when each printed piece is different, conventional proofing fails, because it is impossible to proof the entire print job. One frequent problem in automatically generated pieces is the readability of one page element on top of another element; the color combination can be unreadable or clash. I propose simple algorithms to automatically detect and correct color discriminability problems in variable data printing. ABSTRACT The Internet in combination with digital presses has allowed the geographical distribution of manufacturing printed mate-rials. An increasing number of printed pieces is customized for the recipient; when each printed piece is different, conven-tional proofing fails, because it is impossible to proof the entire print job. One frequent problem in automatically generated pieces is the readability of one page element on top of another element; the color combination can be unread-able or clash. I propose simple algorithms to automatically detect and correct color discriminability problems in variable data printing.
    02/2005;
  • Article: Guest Editorial: Special Section on Internet Imaging.
    Giordano Beretta, Raimondo Schettini
    J. Electronic Imaging. 01/2002; 11:421-422.
  • Article: A Benchmark for Image Retrieval using Distributed Systems over the Internet:
    Neil J. Gunther, Giordano Beretta
    [show abstract] [hide abstract]
    ABSTRACT: Comparing the performance of CBIR (Content-Based Image Retrieval) algorithms is difficult. Private data sets are used, so it is controversial to compare CBIR algorithms developed by different researchers. Also, the performance of CBIR algorithms is usually measured on an isolated, well-tuned PC or workstation. In a realworld environment, however, the CBIR algorithms would only constitute a minor component among the many interacting components needed to facilitate a useful CBIR application e.g., Web-based applications on the Internet. The Internet, being a shared medium, dramatically changes many of the usual assumptions about measuring CBIR performance. Any CBIR benchmark should be designed from a networked systems standpoint. Networked system benchmarks have been developed for other applications e.g., text retrieval, and relational database management. These benchmarks typically introduce communication overhead because the real systems they model are distributed applications e.g., an airline reservation system. The most common type of distributed computing architecture uses a client/server model. We present our implementation of a client/server CBIR benchmark called BIRDS-I (Benchmark for Image Retrieval using Distributed Systems over the Internet) to measure image retrieval performance over the Internet. The BIRDS-I benchmark has been designed with the trend toward the use of small personalized wireless-internet systems in mind. Web-based CBIR implies the use of heterogeneous image sets and this, in turn, imposes certain constraints on how the images are organized and the type of performance metrics that are applicable. Surprisingly, BIRDS-I only requires controlled human intervention for the compilation of the image collection and none for the generation of ground tr...
    01/2001;
  • Article: Guest Editorial: Special Section on Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts.
    Giordano Beretta, Reiner Eschbach
    J. Electronic Imaging. 01/1999; 8:329-331.
  • Article: Image sharpening in the JPEG domain.
    IEEE Transactions on Image Processing. 01/1999; 8:874-878.

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