Image and Video Indexing using Networks of Operators

Stéphane Ayache 1 Georges Quénot 2
2 MRIM - Modélisation et Recherche d’Information Multimédia [Grenoble]
LIG - Laboratoire d'Informatique de Grenoble, Inria - Institut National de Recherche en Informatique et en Automatique
Abstract : This article presents a framework for the design of concept detection systems for image and video indexing. This framework integrates in a homogeneous way all the data and processing types. The semantic gap is crossed in a number of steps, each producing a small increase in the abstraction level of the handled data. All the data inside the semantic gap and on both sides included are seen as a homogeneous type called \em numcept and all the processing modules between the various numcepts are seen as a homogeneous type called \em operator. Concepts are extracted from the raw signal using networks of operators operating on numcepts. These networks can be represented as data-flow graphs and the introduced homogenizations allow fusing elements regardless of their nature. Low-level descriptors can be fused with intermediate of final concepts.
Type de document :
Article dans une revue
EURASIP Journal on Image and Video Processing, Springer, 2007
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https://hal.inria.fr/hal-00953803
Contributeur : Marie-Christine Fauvet <>
Soumis le : vendredi 28 février 2014 - 16:00:56
Dernière modification le : jeudi 11 octobre 2018 - 08:48:04

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  • HAL Id : hal-00953803, version 1

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Stéphane Ayache, Georges Quénot. Image and Video Indexing using Networks of Operators. EURASIP Journal on Image and Video Processing, Springer, 2007. 〈hal-00953803〉

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