You are here

Stefano Messelodi

Head of Unit
  • Phone: 0461314509
  • FBK Povo
Short bio

Stefano Messelodi was born in Arco (Italy) in 1961. He graduated in computer science from the University of Milan (Italy).  Since 1986 he is working in FBK (ITC-irst), Trento, Italy, where he coordinated the Technologies of Vision research unit till 2012. His research interests include text localization in scene, semantic image labelling and dynamic scene understanding. He served as a reviewer for several journals and conferences. He is a member of IEEE Society and International Association for Pattern Recognition.
He currently coordinates the research unit TeV.

Research interests
people re-identification text localization in scene document image analysis traffic analysis
Publications
  1. Stefano Messelodi; Carla Maria Modena,
    The Indexing Function in Document Management Systems,
    In this note we analyze the indexing function of commercial electronic document management systems. In particular, we have focused our attention to the relation between indexing and the use of an OCR module in archiving products. On the basis of this relation, we have distinguished products into three classes: (1) indexing by keywords wighout using OCR; (2) field-based indexing where OCR is aplied only to user defined fields; (3) full-text indexing, where OCR is applied to the whole document or to its textual regions. As a conclusive remark, we highlight that no one of the analyzed product provides the capability of automatic segmentation and logical labeling of the document: a necessary feature for development of intelligent document indexing and retrieval systems,
    1997
  2. Roldano Cattoni; T. Coianiz; F. Fignoni; Stefano Messelodi; Carla Maria Modena,
    Progetto CODICE: specifiche funzionali del sistema,
    Il presente documento descrive le specifiche funzionali del sistema di analisi e interpretazione di documenti complessi che verrà sviluppato all'Irst nell'ambito del progetto CODICE. Caratteristiche generali del sistema saranno la flessibilità e la adattabilità da un lato agli specifici ambiti applicativi e dall'altro ale diverse classi di documenti. L'obiettivo primario del progetto CODICE è quello di progettare e sviluppare moduli per l'analisi di documenti in grado di fornire nuove fnzionalità o di migliorare le caratteristiche delle funzionalità offerte dai sistemi esistenti,
    1997
  3. Stefano Messelodi; Carla Maria Modena,
    in «PATTERN RECOGNITION LETTERS»,
    vol. 17,
    n. 1,
    1996
    , pp. 47 -
    56
  4. B. Crespi; Stefano Messelodi; N. Veneri,
    Memory-Based Coordination of Visual Perception and Motor Activity,
    Proceedings of 1997 Symposium on Real World Computing [RWC '97],
    1996
    , pp. 274-
    281
  5. Bruno Caprile; T. Coianiz; Fausto Giunchiglia; Gianni Lazzari; Stefano Messelodi; G. Musso,
    Rapporto tecnico sullo studio di fattibilità per CIRCUIT LINE,
    1996
  6. Bruno Caprile; T. Coianiz; Gianni Lazzari; Stefano Messelodi,
    Rapporto tecnico sullo studio di fattibilità per CIRCUIT LINE Allineamento tra PCB e adattatore: acquisizione e misura,
    1996
  7. Bruno Caprile; T. Coianiz; Gianni Lazzari; Stefano Messelodi,
    Rapporto tecnico sullo studio di fattibilità per CIRCUIT LINE Allineamento tra PCB e adattatore: acquisizione e misura (seconda versione),
    1996
  8. Bruno Caprile; T. Coianiz; Gianni Lazzari; Stefano Messelodi,
    Note sulla localizzazione ottica dei fori di riferimento di un circuito stampato,
    1996
  9. Stefano Messelodi; Carla Maria Modena,
    VCB: Video Clip Browser and more - User's Guide for Version 1.1,
    1996
  10. F. Fignoni; Stefano Messelodi; Carla Maria Modena,
    Review of the State of the Art in Optical Character Recognition. Part 1: Machine Printed Documents,
    Machine understanding of documents has become a fundamental element in applications dealing with large quantities of text and images. The main purpose of the present report is to make light on the crowded world of document reading products. We intend to describe the main features and drawback of these systems and to highlight some criteria for their correct evaluation. Finally, we review briefly the research fields currently investigated in order to improve the performances of the current document recognition systems. This review covers only OCR systems specifically designed for reading documents containing text with little or no a priori information about the layout of the page, usually called page readers. This task is different from the one of reading pre-printed forms, for instance payment forms, where knowledge about the specific layout and format is complete. Also, dealing with forms usually means higher thorughput, which implies special purpose hardware: our review covers software products only. This review is based on the technology assessment of OCR products that takes place, annually since 1992, at the Information Science Institute (ISRI) at the University of Nevada, Las Vegas,
    1996

Pages