Difference between revisions of "Jobs/M2 JF 2014 inpainting"
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{{Job |
{{Job |
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|Reference id=M2 JF 2014 inpainting |
|Reference id=M2 JF 2014 inpainting |
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| − | |Title=Inpainting |
+ | |Title=Inpainting in videos |
| − | |Dates=6 |
+ | |Dates=6 months in 2014 - starting as soon as possible |
|Research field=Image Processing |
|Research field=Image Processing |
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|Related project=Olena |
|Related project=Olena |
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|Advisor=Jonathan Fabrizio |
|Advisor=Jonathan Fabrizio |
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| − | |General presentation of the field= |
+ | |General presentation of the field=Automatic text localization in natural images (still or moving) is an essential task in many applications, including automatic indexing of documents or photographs, the dematerialization of paper-based documents, assistance to visually impaired people, etc.. |
| + | |Prerequisites=Skills in image processing and pattern recognition are necessary for the realization of this internship. |
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| − | |Prerequisites=Des connaissances en traitement d’images et reconnaissance des formes sont nécessaires à la réalisation de ce stage. Le candidat devra être familiarisé avec le langage C++. Le travail à effectuer devra s’intégrer dans la plate-forme logicielle libre de traitement d’images du LRDE, Olena, écrite en C++. |
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| + | The candidate should be familiar with the C + + language. The work to be performed must be integrated into Olena, the free software platform for image processing of the LRDE written in C + +. |
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| − | |Objectives=Le contexte est l’analyse de séquences d’images vidéos contenant des éléments de texte. Une fois le texte localisé, il peut être nécessaire de le faire disparaître en fonction de l’application désirée. Le sujet proposé a pour objet l’effacement de texte dans des séquences d’images, et en particulier la suppression de sous-titres. La reconstruction des images dont le texte a été supprimé s’appuiera sur des techniques d’inpainting vidéo. |
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| + | |Objectives=The context is the analysis of video sequences containing text elements. Once localized, it may be necessary to remove the text following the desired application. The goal of this internship is to remove text in video sequences, especially subtitles. The video images without the text will then be reconstructed thanks to the technique of video inpainting. |
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|References=1. A. Mosleh, N. Bouguila, and A. Ben Hamza, “Automatic Inpainting Scheme for Video Text Detection and Removal,” IEEE Transactions on Image Processing, vol. 22, no. 11, pp. 4460–4472, 2013. |
|References=1. A. Mosleh, N. Bouguila, and A. Ben Hamza, “Automatic Inpainting Scheme for Video Text Detection and Removal,” IEEE Transactions on Image Processing, vol. 22, no. 11, pp. 4460–4472, 2013. |
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3. S. Choi, B. Ham, K. Sohn, “Space-Time Hole Filling With Random Walks in View Extrapolation for 3D Video,” IEEE Transactions on Image Pro- cessing, vol. 22, no. 6, pp. 2429–2441, 2013. |
3. S. Choi, B. Ham, K. Sohn, “Space-Time Hole Filling With Random Walks in View Extrapolation for 3D Video,” IEEE Transactions on Image Pro- cessing, vol. 22, no. 6, pp. 2429–2441, 2013. |
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|Contact=jonathan.fabrizio-at-lrde.epita.fr |
|Contact=jonathan.fabrizio-at-lrde.epita.fr |
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| − | |Compensation=800 € |
+ | |Compensation=800 € gross/month |
| − | |Future work opportunities= |
+ | |Future work opportunities=If you have performed the internship satisfactorily, we would like it to be followed by a PhD thesis. |
|Type=Master Internship |
|Type=Master Internship |
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| + | |Language=en |
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}} |
}} |
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Latest revision as of 11:58, 19 February 2014
| Inpainting in videos | |
|---|---|
| Reference id |
M2 JF 2014 inpainting |
| Dates |
6 months in 2014 - starting as soon as possible |
| Research field |
Image Processing |
| Related project | |
| Advisor | |
| General presentation of the field |
Automatic text localization in natural images (still or moving) is an essential task in many applications, including automatic indexing of documents or photographs, the dematerialization of paper-based documents, assistance to visually impaired people, etc.. |
| Prerequisites |
Skills in image processing and pattern recognition are necessary for the realization of this internship. The candidate should be familiar with the C + + language. The work to be performed must be integrated into Olena, the free software platform for image processing of the LRDE written in C + +. |
| Objectives |
The context is the analysis of video sequences containing text elements. Once localized, it may be necessary to remove the text following the desired application. The goal of this internship is to remove text in video sequences, especially subtitles. The video images without the text will then be reconstructed thanks to the technique of video inpainting. |
| Benefit for the candidate | |
| References |
1. A. Mosleh, N. Bouguila, and A. Ben Hamza, “Automatic Inpainting Scheme for Video Text Detection and Removal,” IEEE Transactions on Image Processing, vol. 22, no. 11, pp. 4460–4472, 2013. 2. M.Wang,B.Yan,andK.NgiNgan,“Anefficientframeworkforimage/video inpainting,” Signal Processing : Image Communication, vol. 28, no. 7, pp. 753–762, 2013. 3. S. Choi, B. Ham, K. Sohn, “Space-Time Hole Filling With Random Walks in View Extrapolation for 3D Video,” IEEE Transactions on Image Pro- cessing, vol. 22, no. 6, pp. 2429–2441, 2013. |
| Place | LRDE: How to get to us |
| Compensation |
800 € gross/month |
| Future work opportunities |
If you have performed the internship satisfactorily, we would like it to be followed by a PhD thesis. |
| Contact |