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Carla Maria Modena

Permanent researcher
  • Phone: 0461314508
  • FBK Povo
Short bio

Carla Maria Modena received her degree in Mathematics from the University of Trento in 1985. In 1986, she worked as research assistant (Wissenschaftliche Mitarbeiterin) in Ökonometrie at the Institut für Volkswirtschaftslehre, Universität Regensburg, Germany.
She joined ITC-irst, now FBK (Trento - Italy) in 1987, where she works with the Technologies of Vision (TeV) research unit.

She is interested in text detection and extraction for document image understanding (DIU and OCR) and for scene understanding (TIS). She works mainly on computer vision with applicative tasks (for example, traffic scene analyis, people re-identification). To prevent the risk of reinventing the wheel, she pays a close attention to the state-of-the art before starting each task in which she is involved in, using her ability to fully exploit the net resources and to analyse trends in upcoming conferences.

She is a member of IAPR-CVPL.

Research interests
text localization in scene people re-identification
  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,
  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,
  3. Stefano Messelodi; Carla Maria Modena,
    vol. 17,
    n. 1,
    , pp. 47 -
  4. Stefano Messelodi; Carla Maria Modena,
    VCB: Video Clip Browser and more - User's Guide for Version 1.1,
  5. 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,
  6. F. Fignoni; Stefano Messelodi; Carla Maria Modena,
    Rassegna su OCR dattiloscritto: Implicazioni sul progetto Grandi Archivi Multimediali,
  7. 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,
  8. Roberto Brunelli; Ornella Mich; Carla Maria Modena,
    A Survey on Automatic Indexing of Audio - Video Data,
    Today considerable amount of audio-video data in multimedia databases requires sophisticated indices for its effective use. Manual indexing is the more effective method to do this, but it is also the slowest and the more expensive. Automated methods have then to be developed. This paper surveys several approaches and algorithms that have been recently proposed to help in automatically structuring audio-visual data, both for annotation and access,
  9. Roberto Brunelli; Ornella Mich; Carla Maria Modena,
    Retrieval by Image Content for Video and Image Databases: A Survey,
    Large databases of images and video data are now available. The management and exploitation of these new media databases require extensions of the traditional query mechanisms developed for accessing textual information. This survey reviews some recent works on the management of video and image data,
  10. 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,