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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
  1. Stefano Messelodi; Carla Maria Modena,
    Low Level Processing of Color Document Images,
    Color is an extremely useful cue that is used for adding information in documents. Document image understanding takes advantage from the implicit or explicit knowledge on the use of color in document production. This knowledge has to be exploited starting from the low level tasks. In this report low level image processing functions, particularly suited for the processing of scanned color documents images, are considered and analyzed in a brief survey. Extensions of some edge detection and edge preserving smoothing algorithms to the color domain are introduced,
  2. Stefano Messelodi; Carla Maria Modena,
    vol. 32,
    n. 5,
    , pp. 789 -
  3. Stefano Messelodi; Carla Maria Modena,
    10th International Workshop on Database & Expert Systems Applications,
    , pp. 534-
    , (10th International Workshop on Database & Expert Systems Applications,
    Florence, Italy,
    30/08/1999 - 03/09/1999)
  4. Nicola Veneri; Stefano Messelodi; Bruno Crespi,
    A Memory based Approach to Sensory Motor Coordination,
    vol. 10,
    n. 5/6,
    , pp. 269 -
  5. Roldano Cattoni; Tarcisio Coianiz; Stefano Messelodi; Carla Maria Modena,
    Document Image Understanding (DIU) is an interesting research area with a large variety of challenging applications. Researchers have worked from decades on this topic, as witnessed by the scientific literature. The main purpose of the present report is to describe the current status of DIU with particular attention to two subprocesses: document skew angle estimation and page decomposition. Several algorithms proposed in the literature are synthetically described. They are included in a novel classification scheme. Some methods proposed for the evaluation of page decomposition algorithms are described. Critical discussions are reported about the current status of the field and about the open problems. Some considerations about the logical layout analysis are also reported.,
  6. Carla Maria Modena; Stefano Messelodi,
    Progetto CODICE*: Alcune considerazioni sulle modalità di valutazione del sistema,
    Queste note raccolgono alcune considerazioni relative alla definizione delle modalità di valutazione del sistema di analisi ed interpretazione di documenti complessi in via di sviluppo nell’ambito del progetto CODICE. Viene messo in evidenza che la possibilità di definire metodi di valutazione generali è attuabile solo per alcune sottoparti del sistema se non per specifiche procedure, mentre la definizione di una validazione globale richiede che sia fissato lo scenario applicativo,
  7. 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,
  8. 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,
  9. Stefano Messelodi; Carla Maria Modena,
    vol. 17,
    n. 1,
    , pp. 47 -
  10. 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],
    , pp. 274-