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Localizing Moments in Video with Temporal Language.

Hendricks, Lisa Anne, et al. "Localizing Moments in Video with Temporal Language." EMNLP (2018).

Find the paper here and the project page here.

@inproceedings{hendricks18emnlp, 
        title = {Localizing Moments in Video with Temporal Language.}, 
        author = {Hendricks, Lisa Anne and Wang, Oliver and Shechtman, Eli and Sivic, Josef and Darrell, Trevor and Russell, Bryan}, 
        booktitle = {Empirical Methods in Natural Language Processing (EMNLP)}, 
        year = {2018} 
}

License: BSD 2-Clause license

Data

Please see our TEMPO Human Language and Template Language annotations here.

TEMPO Annotations

The TEMPO annotations will have the following fields:

  • annotation_id: Each annotation_id is asigned as {temporal_word}_{didemo_id} where the temporal_word is "before", "after", "then" or (in TEMPO-HL) "while". The didemo_id is the didemo id for the context moment.
  • context: The ground truth context for the sentence.
  • description
  • reference_description: Reference description given to the AMT workers. Note that we did not provide reference descriptions when collecting "while" annotations. For "then" annotations in TEMPO-TL there will be two reference descriptions.
  • times: Three ground truth human annotations. All three are used in evaluation. See the paper for details.
  • video