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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. F. Fignoni; Stefano Messelodi; Carla Maria Modena,
    Rassegna su OCR dattiloscritto: Implicazioni sul progetto Grandi Archivi Multimediali,
  2. F. Fignoni; Stefano Messelodi; Carla Maria Modena,
    Review of the State of the Art in Optical Character Recognition. Part 2: Hand Printed Documents,
    The automatic recognition of hand written text is an important practical problem with a great variety of potential applications: fax reading, form reading, help to blind people, signature verification, check reading, code recognition, address reading, document database population, and many more. Therefore, the interest of academic groups and commercial associations in hand written recognition is high. In this state of the art review, we address the field of the off-line recognition of unconstrained hand printed characters. We illustrate the results of two comparative tests of ICR systems conducted by NIST: the first deals with the recognition of isolated hand printed characters and the second with the reading of hand printed words from U.S. census forms. Starting from these results and from our experience, we focus our attention on the available commercial products we consider the most reliable. Finally, we present recent trends of the academic research in this area of machine vision, aiming at identifying the most challenging fields for future research,
  3. Roberto Brunelli; Stefano Messelodi,
    Robust Estimation of Correlation with Applications to Computer Vision,
    vol. 28,
    n. 6,
    , pp. 833 -
  4. Alessandro Leonardi; Stefano Messelodi; Luigi Stringa,
    Book Recognition as an Example of Flat and Structured Objects Classification,
    vol. 26,
    n. 6,
    , pp. 621 -
  5. Stefano Messelodi; Carla Maria Modena,
    VCB: A Video Clip Browser and More,
    Browsing is an interactive process through which the user decide when and where to focus the attention within a large database, by example in order to retrieve information in a video stream. This paper presents the 'Video Clip Browser', a set of tools designed to easily navigate into video clips, as well as some utilities for the automatic search of particular frames of the video stream. A peculiarity of this system is that the browsing tools can be used in an interleaved way giving high flexibility to the navigation process,
  6. Stefano Messelodi,
    A Review on Iconic Indexing for Large Visual Databases,
    The amount of information stored in form of images, pictures or videos is undergoing a tremendous growth in these years. The developement of techniques for the automatic management of such a bulk of information is becoming a key iussue. This report presents a survey of recent techniques for automatic picture indexing and their application to image retrieval, image reconstruction and spatial reasoning about the objects in the images. Our emphasis is on the 2D string approach,