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Hey Siri (or Alexa or whatever), tell me what I should draw

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Hey Siri (or Alexa or whatever), tell me what I should draw

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You do not have permission to access this pad

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A report where REMIND was used (Heiser, Romero, Prokofieva, 2022)

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A report where REMIND was used (Heiser, Romero, Prokofieva, 2022)

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Annotate Digital Video, Exchange on the NEt (but alsoto be added to something or become a part of it, though inessential).

Advene (Annotate Digital Video, Exchange on the NEt) is an ongoing project aiming at providing a model and a format to share annotations about digital video documents (movies, courses, conferences...), as well as tools to edit and visualize the hypervideos generated from both the annotations and the audiovisual documents. Teachers, moviegoers, researchers, etc. can use them to exchange multimedia comments and analyses about video documents.

The project also aims at studying the way that communities of users (teachers, moviegoers, students...) will use these self-publishing tools to share their audiovisual "readings", and to envision new editing and viewing interfaces for interactive comment and analysis of audiovisual content. For more details, see Advene: active reading through hypervideo or other articles in our publication list. For citing Advene in a publication, please use:
Olivier Aubert and Yannick Prié (2005) Advene: active reading through hypervideo, Proceedings of ACM Hypertext'05, Sep 2005, pp. 235-244. https://doi.org/10.1145/1083356.1083405
As seen on the figure above, Advene prototype features:

1. At the package creation level : annotation of audiovisual documents (association of typed information to temporal fragments), creation of visualisation means (views).

2. Exchange of annotations and visualization modes in packages independently from the audiovisual material (images and sounds). If needed for the visualization of the data, pictures and sound clips can be extracted from the digital video support (e.g. file, DVD). The user of the data is then required to possess the video to take full advantage of the analysis and comments.

3. At the package use level : visualisation of augmented movie (the annotations are used to display supplementary information on the video, to control the playing of the video, to navigate the video), visualisation of hypertext documents constructed from annotation and AV material, use of ad-hoc views (e.g. timeline view).

The preferred way to submit bug reports is to use the bug tracker. Usage questions should be asked in the Advene forum. You also can send us an e-mail at contact -at- advene.org (replace the -at- by the appropriate character).

If you want to be informed of the development of the project, you can subscribe to the Twitter feed.

The Advene project was launched in december 2002 by 3 members of the LIRIS laboratory of University Claude Bernard Lyon 1:

Olivier Aubert

Yannick Prié

Pierre-Antoine Champin

Collaborations

Amaury Belin

Madjid Sadallah

Bertrand Richard

Frank Nack

Jean-Claude Iehl: advice on video aspects

Norbert Ha: development of a python-vlc module

Bruno Terras: development of visualisation interfaces

Julien Bourbonnais: report on "Cognitive issues in hypervideos"

Sébastien Caudron, Anne-Sophie Pascal, Hugues Samyn: report titled Edition audiovisuelle sur DVD : film et différences locales.

Denis Jouvin: participation to Windows porting

Nadia Pitta: website, design, logo, screencasts

Alberto Fanton: FCKeditor porting and plugin development

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Annotate Digital Video, Exchange on the NEt (but alsoto be added to something or become a part of it, though inessential ). Advene (Annotate Digital Video, Exchange on the NEt) is an ongoing project aiming at providing a model and a format to share annotations about digital video documents (movies, courses, conferences...), as well as tools to edit and visualize the hypervideos generated from both the annotations and the audiovisual documents.

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Daniel Schmitt's stimulated recall interviews

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Daniel Schmitt's stimulated recall interviews

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Daniel Schmitt est Professeur des Universités en sciences de l'information et de la communication à l'Université polytechnique Hauts-de-France. Ses recherches portent sur la construction de sens, sur la dynamique cognitive et émotionnelle de l'expérience vécue dans les musées, en particulier lors de médiations instrumentées et dans des situations d'éducation non-formelle. Daniel Schmitt a dirigé de nombreux projets de musée et d'exposition en France et à l'étranger.

Mail: daniel.schmitt(at)uphf.fr

Daniel Schmitt is full professor at Polytechnic University Hauts-de-France. His research focuses on sense making, cognitive and emotional dynamics of the lived experience. Daniel Schmitt has managed many museum and exhibition projects in France and abroad.

Mail: daniel.schmitt(at)uphf.fr

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Daniel Schmitt est Professeur des Universités en sciences de l'information et de la communication à l'Université polytechnique Hauts-de-France. Ses recherches portent sur la construction de sens, sur la dynamique cognitive et émotionnelle de l'expérience vécue dans les musées, en particulier lors de médiations instrumentées et dans des situations d'éducation non-formelle.

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You said intelligent ... Well that depends ...

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You said intelligent ... Well that depends ...

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See how a modern neural network auto-completes your text 🤗

This site, built by the Hugging Face team, lets you write a whole document directly from your browser, and you can trigger the Transformer anywhere using the Tab key. It's like having a smart machine that completes your thoughts 😀

Get started by typing a custom snippet, check out the repository, or try one of the examples. Have fun!

Written by Transformer · transformer.huggingface.co 🦄

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See how a modern neural network auto-completes your text

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A machine that can do what you want it to do ...

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A machine that can do what you want it to do ...

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En cliquant sur "J'accepte", vous activez un cookie uniquement destiné à la mesure d'audience qui nous permettra d'évaluer la diffusion de nos supports Jouer à Débattre. J'accepte En savoir plus

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L'intelligence artificielle : une série thématique - Jouer à débattre

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Ressources du jeu Consultez les ressources pour préparer la séance et surtout pour la prolonger avec les jeunes et les aider à aller plus loin dans leurs questionnements. Affiner les recherches Affiner les recherches Effacer les filtres

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Invented by Philippe COLINOT (adapted from DUFLOT, 2020)

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Invented by Philippe COLINOT (adapted from DUFLOT, 2020)

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Kids can learn about machine learning ...

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Kids can learn about machine learning ...