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Comparaison des documents audiovisuels
par Matrice de Similarité

Siba Haidar 1
Abstract : The work of this thesis relates to the comparison of video documents. The field of digital video is in full expansion. Videos are now present in large quantity even for personal use. The video comparison is a basic analysis operation in complement of classification, extraction and structuring of videos.
Traditional approaches of comparison are primarily based on the low-level features of the videos to be compared, considered as multidimensional vectors. Other approaches are based on the similarity of frames without taking into account neither the temporal composition of the video nor the audio
layer. The main disadvantage of these methods is that they reduce the comparison role to a simple operator robust to noise effects. Such operators are generally used in order to identify the various specimens of a same document.
The originality of our approach lies in the introduction of the of style similarity notion, taking as a starting point the human criteria into the comparison. These criteria are more flexible, and do not impose a strict similarity of all the studied features at the same time.
We define an algorithm of extraction of the similarities between the series of values produced by
the analysis of the audiovisual low-level features. The algorithm is inspired by the dynamic programming
and the time series comparison methods.
We propose a representation of the data resulting from these processings in the form of a matrix
pattern suitable for the visual and immediate comparison of two videos. This matrix is then used to
propose a generic similarity measure. The measure is applicable independently to videos of comparable
or heterogeneous contents.
We developed several applications to demonstrate the behavior of the comparison method and the
similarity measure. The experiments concern primarily: - the identification of the structure in a
collection/sub-collection of documents, - the description of stylistics elements in a movie, and - the
analysis of the grid of programs from a TV stream.
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Contributor : Siba Haidar <>
Submitted on : Wednesday, February 1, 2006 - 8:38:09 AM
Last modification on : Thursday, June 10, 2021 - 3:08:22 AM
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  • HAL Id : tel-00011510, version 1


Siba Haidar. Comparaison des documents audiovisuels
par Matrice de Similarité. Autre [cs.OH]. Université Paul Sabatier - Toulouse III, 2005. Français. ⟨tel-00011510⟩



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