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Modélisation et gestion de concepts, en particulier temporels, pour l'assistance à la caractérisation de séquences d'images

Abstract : The usual techniques of video indexing generally go through a learning phase that requires the prior establishment of a training database. Even if the size of the database is often reduced, the annotation phase by an expert of the application is often long and tedious. In this thesis, we developed a system that allows pre-selecting a set of prototypes that can contain the concept that must appear in the training set. This reduced base of prototypes will then be annotated by the expert. We are interested in time concepts, which led us to study particular features related to movement, such as Spatial Temporal Interest Points (STIP). Other features have also been used concerning the color and the presence of particular shapes. These characteristics are then used to structure the video database in homogeneous space-time blocks. This structure corresponds to segmentation related to each characteristic. The link between the concept to define and blocks extracted from the base corresponds to the well known problem of automatic indexing, the semantic gap. The definition of this link requires the introduction of the application expert's knowledge. We developed a system in which this knowledge is extracted by a questions/answers system. The couples of questions/answers allow the system to select blocks corresponding to the constraint, to define relationships between some blocks, and finally to navigate on the questions/answers tree. Tests were performed on video databases from various sources such as videos from tele- vision shows, animated films, laboratory videos available on the net, or made by us. These tests show the satisfying performances but also the limitations of the approach and open interesting perspectives, particularly on the collaborative and adaptive aspects that would capitalize in the application expert knowledge and would make the system more efficient.
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Submitted on : Monday, October 24, 2011 - 4:47:24 PM
Last modification on : Tuesday, October 19, 2021 - 11:22:18 PM
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  • HAL Id : tel-00635138, version 1


Alain Simac. Modélisation et gestion de concepts, en particulier temporels, pour l'assistance à la caractérisation de séquences d'images. Sciences de l'information et de la communication. Université de Grenoble, 2011. Français. ⟨NNT : 2011GRENA009⟩. ⟨tel-00635138⟩



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