Thèse de doctorat : Université de Fribourg : 2001 ; No 1364.
This thesis addresses the question of printed document recognition. We studied existing systems, first in a general context, by making the distinction between physical and logical structure recognition systems. Then, we focused on methods specific for complex layout documents and on methods having a learning aptitude. Since there do not seem to exist learning systems which are able to recognise...
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Thèse de doctorat : Université de Fribourg : 1995 ; 1105.
We present in this thesis a uniform approach to recognize the physical structure of printed documents that may contain various kinds of blocks: we call such documents composite documents. After an introduction to the subject of this thesis, we present first the state of the art in the field of document recognition. In this part, we present models and standards used to represent document...
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Thèse de doctorat : Université de Fribourg : 2000 ; no 1312.
This thesis addresses the question of content-based image retrieval (CBIR) in heterogeneous databases. In an analysis of the existing CBIR tools that was done at the beginning of this work, we have shown that there was room for improvement in three key areas: query form, image and query representation, and computation of similarity. This analysis led us to studying the usability of a method for...
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Thèse de doctorat : Université de Fribourg : 1999 ; Nr. 1251.
This PhD thesis is on the topic of document recognition. It particularly discusses the aspects of learning document models and the recognition of the logical structure of documents. In order to achieve high reliability and user friendliness, we describe an interactive system which can easily be adapted to new document classes. In an initial learning session the system is able to generate a...
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Thèse de doctorat : Université de Fribourg, 2006 ; no 1513.
This thesis addresses the recognition of physical and logical structures of complex documents, rich in variability. More precisely, we studied the evolution of models within an interactive context where the system gradually integrates the knowledge induced by the corrections of the user. We studied the features of the Arabic language and we designed a recognition system for this language. In a...
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Thèse de doctorat : Université de Fribourg, 2005 ; Nr. 1488.
Document recognition is a research domain that doesn’t lose its relevance even in a world where documents are increasingly often available in an electronic form. Whereas some years ago, the goal of document recognition was to convert documents from paper into an electronic form, the problem is shifted more and more from pure recognition towards document understanding. This requires much more...
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Thèse de doctorat : Université de Fribourg, 2008 ; no 1587.
This thesis proposes a method for indexing and browsing archives of multimedia documents, and in particular meeting recordings, using printable documents and links. Existing systems for indexing and browsing multimedia data have four main limits. First, the indexing requires high-level abstractions extracted from multimedia documents, which is still an unsolved problem for rich media such as...
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Thèse de doctorat : Université de Fribourg, 2006 ; no. 1534.
The phonographic record was the only way to store sounds until the introduction of magnetic tape in the early 1950s. Therefore there are huge collections of phonographic records, for example in radio stations and national sound archives. Such archives include pressed discs, which were produced in mass by record companies for commercial distribution, as well as direct cut discs obtained by the...
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Thèse de doctorat : Université de Fribourg, 2008 ; no 1610.
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Thèse de doctorat : Université de Fribourg, 1998 ; no 1228.
This thesis addresses the question of document recognition with an assisted perspective advocating an adequate combination between human and machine capabilities. Our contributions tackle various aspects of the underlying software architecture. Both a study of existing systems and a projection on some future applications of document recognition illustrate the need of cooperative environments....
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