We’ve got our journal paper accepted to the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)!

Our paper is titled “A Sparse Sampling-based framework for Semantic Fast-Forward of First-Person Videos”. For more details about the paper, please visit the Publications Section.

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We’ve got our paper accepted to the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)! Our RL agent is guided by documents to take you straight to the point in videos!

Our paper is titled “Straight to the Point: Fast-forwarding Videos via Reinforcement Learning Using Textual Data”. For more details about the paper, please visit the Publications Section.

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Our paper titled “Personalizing Fast-Forward Videos Based on Visual and Textual Features from Social Network” has been accepted in the IEEE Winter Conference on Applications of Computer Vision (WACV) 2020!

For more details about the paper, please visit the Publications Section. You can get more info about the project on our page: https://www.verlab.dcc.ufmg.br/semantic-hyperlapse/

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Publications

(2021). A Sparse Sampling-based framework for Semantic Fast-Forward of First-Person Videos. In TPAMI, vol. 43, no. 4, pp. 1438-1444, 1 April 2021.

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(2020). Straight to the Point: Fast-forwarding Videos via Reinforcement Learning Using Textual Data. In CVPR, 2020.

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(2020). Personalizing Fast-Forward Videos Based on Visual and Textual Features from Social Network. In WACV, 2020.

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(2019). Fast-Forward Methods for Egocentric Videos: A Review. In SIBGRAPI-T, 2019.

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(2018). A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos. In CVPR, 2018.

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(2018). Making a long story short: A Multi-Importance fast-forwarding egocentric videos with the emphasis on relevant objects. In JVCI - Volume 53 - Pages 55-64, 2018.

Preprint PDF Code Project Journal Website

(2017). Semantic Hyperlapse for Egocentric Videos. In WTD@SIBGRAPI, 2017.

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(2016). Towards Semantic Fast-Forward and Stabilized Egocentric Videos. In ECCVW, 2016.

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(2016). Fast-Forward Video Based on Semantic Extraction. In ICIP, 2016.

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Awards

My M.Sc. Dissertation titled “Semantic Hyperlapse for Egocentric Videos” has been awarded as the best Computer Vision/Image Processing/Pattern Recognition M.Sc. Dissertation in the SIBGRAPI 2017 - 30th Conference on Graphics, Patterns and Images (Workshop of Theses and Dissertations).

Details about the paper can be found in the Publications Section. You can get the full dissertation through this download icon:

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My presentation has been has been awarded as the Best Presentation of Master’s Work Dissertation at Week of Graduate Seminars held by the Departamento de Ciência da Computação (DCC-UFMG).

My M.Sc. Dissertation is titled “Semantic Hyperlapse for Egocentric Videos” and it can be downloaded here.

Click here for more info about the award (in Portuguese).

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Contact

  • washington.ramos at dcc dot ufmg dot br
  • +55 31 9 86167574
  • washingtonsk8
  • @+55 31 9 86167574
  • Departamento de Ciência da Computação, Room 2315, Universidade Federal de Minas Gerais, Belo Horizonte - MG, Brazil
  • Everyday 08:00 to 17:00 or email for appointment.