Add RWTH-PHOENIX-WEATHER (continuous SLR, not SLT) to list of datasets #70

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1. cleong110

   changed the title [-]Add RWTH-PHOENIX-WEATHER to list of datasets[/-] [+]Add RWTH-PHOENIX-WEATHER (continuous SLR, not SLT) to list of datasets[/+] on Jun 10, 2024
2. cleong110 commented on Jun 19, 2024

   

   cleong110

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   Instead of PCA-reduced hand patches as in Section 5.3, we employ HOG-3D Features [45], which explicitly capture the edges of the hands spatially and also temporally and are therefore much more robust against illumination differences.
3. cleong110 commented on Jun 19, 2024

   

   cleong110

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   unconstrained ‘real-life’ SL (RWTH-PHOENIX-Weather database 9 signer, 1081 sign vocabulary, 7k sentences
4. cleong110 commented on Jun 19, 2024

   

   cleong110

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   Hmmmm actually I think the correct citation might be

   @inproceedings{forster-etal-2012-rwth,
       title = "{RWTH}-{PHOENIX}-Weather: A Large Vocabulary Sign Language Recognition and Translation Corpus",
       author = "Forster, Jens  and
         Schmidt, Christoph  and
         Hoyoux, Thomas  and
         Koller, Oscar  and
         Zelle, Uwe  and
         Piater, Justus  and
         Ney, Hermann",
       editor = "Calzolari, Nicoletta  and
         Choukri, Khalid  and
         Declerck, Thierry  and
         Do{\u{g}}an, Mehmet U{\u{g}}ur  and
         Maegaard, Bente  and
         Mariani, Joseph  and
         Moreno, Asuncion  and
         Odijk, Jan  and
         Piperidis, Stelios",
       booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
       month = may,
       year = "2012",
       address = "Istanbul, Turkey",
       publisher = "European Language Resources Association (ELRA)",
       url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/844_Paper.pdf",
       pages = "3785--3789",
       abstract = "This paper introduces the RWTH-PHOENIX-Weather corpus, a video-based, large vocabulary corpus of German Sign Language suitable for statistical sign language recognition and translation. In contrastto most available sign language data collections, the RWTH-PHOENIX-Weather corpus has not been recorded for linguistic research but for the use in statistical pattern recognition. The corpus contains weather forecasts recorded from German public TV which are manually annotated using glosses distinguishing sign variants, and time boundaries have been marked on the sentence and the gloss level. Further, the spoken German weather forecast has been transcribed in a semi-automatic fashion using a state-of-the-art automatic speech recognition system. Moreover, an additional translation of the glosses into spoken German has been created to capture allowable translation variability. In addition to the corpus, experimental baseline results for hand and head tracking, statistical sign language recognition and translation are presented.",
   }
   
   
5. cleong110 commented on Jun 19, 2024

   

   cleong110

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   https://aclanthology.org/L12-1503/ says:
   
6. cleong110 commented on Jun 26, 2024

   

   cleong110

   on Jun 26, 2024

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   Here's the guide for exactly which citations to use:

   #89 (comment)