Geodesic
Detection of an Image in a Video Sequence,
Tamara El Bouti1 ; Gwenael Mercier2 ; Caroline Obrecht3 ; Giuseppe Benedetti4
1 LMV, Versailles St Quentin en Yvelines, France
2 CMAP, École polytechnique, France
3 Laboratoire de Mathématiques de l’Université Paris-Sud, France
4 CREST/CEREMADE, Universié Paris Dauphine, France
ESAIM. Proceedings, Tome 45 (2014), pp. 467-474.

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The purpose of this work is to discuss possible methods to retrieve a frame in a source video sequence starting from a given image query (for example, a screen shot of a movie scene). In order to do that, we develop and test different approaches that rely on SIFT local descriptors. First, we briefly recall the SIFT algorithm and propose a straightforward way to use it in order to find a few candidate frames which are similar to the query image. Then, we propose an improvement of this method by focusing on the moving regions to filter out the irrelevant features. Finally, we formulate a different way to detect the right candidate using a geometric approach that accounts for the relative position of the points of interest.
DOI : 10.1051/proc/201445048

Tamara El Bouti 1 ; Gwenael Mercier 2 ; Caroline Obrecht 3 ; Giuseppe Benedetti 4

1 LMV, Versailles St Quentin en Yvelines, France
2 CMAP, École polytechnique, France
3 Laboratoire de Mathématiques de l’Université Paris-Sud, France
4 CREST/CEREMADE, Universié Paris Dauphine, France 
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     title = {Detection of an {Image} in a {Video} {Sequence,}},
     journal = {ESAIM. Proceedings},
     pages = {467--474},
     publisher = {mathdoc},
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     doi = {10.1051/proc/201445048},
     language = {en},
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Tamara El Bouti; Gwenael Mercier; Caroline Obrecht; Giuseppe Benedetti. Detection of an Image in a Video Sequence,. ESAIM. Proceedings, Tome 45 (2014), pp. 467-474. doi : 10.1051/proc/201445048. http://geodesic.mathdoc.fr/articles/10.1051/proc/201445048/

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