Procedural Human Action Videos - Post-processed RGB Frames
Cesar Roberto de Souza and Adrien Gaidon and Yohann Cabon and Antonio Manuel Lopez Pena

folder phav_v2-img (318 files)
fileimg_5008.tar.bz2 489.60MB
fileimg_5009.tar.bz2 437.05MB
fileimg_5006.tar.bz2 453.46MB
fileimg_5007.tar.bz2 477.88MB
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fileimg_4008.tar.bz2 458.42MB
fileimg_3119.tar.bz2 481.35MB
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fileimg_3104.tar.bz2 468.36MB
fileimg_3105.tar.bz2 483.33MB
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Type: Dataset
Tags: deep learning, procedural generation, video classification, action recognition

Bibtex:
@article{desouza17img,
title= {Procedural Human Action Videos - Post-processed RGB Frames},
keywords= {deep learning, action recognition, procedural generation, video classification},
journal= {},
author= {Cesar Roberto de Souza and Adrien Gaidon and Yohann Cabon and Antonio Manuel Lopez Pena},
year= {2017},
url= {http://adas.cvc.uab.es/phav/},
license= {Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)},
abstract= { Procedural Human Action Videos (PHAV)
 -------------------------------------
 
 This torrent contains the Procedural Human Action Videos (PHAV) dataset. This 
 version of the dataset contains 39,982 videos that have been generated by a 
 computer. The dataset is made available under the Creative Commons BY-NC-SA
 (Attribution-NonCommercial-ShareAlike 4.0 International) license. This sub-
 directory contains the Post-processed RGB data modality of these videos.
 
 A human-readable version of the license terms is available at:
 
   - https://creativecommons.org/licenses/by-nc-sa/4.0/
   
 The full license terms are available at:
 
   - https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
   
 By using PHAV, you agree to abide to the terms of the Creative Commons BY-NC-SA
 license. If you do not agree with the terms of this license, please contact the
 dataset authors for other licensing options.
 
 
 For more information, including details about how to parse the different files
 included in this release, how to use them in your experiments, and how to cite
 the PHAV dataset in your academical paper, please visit:

   - http://adas.cvc.uab.es/phav/
  },
superseded= {},
terms= {By using PHAV, you agree to abide to the terms of the Creative Commons BY-NC-SA license.}
}

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