We’ve got our conference paper accepted to the 2021 34th SIBGRAPI Conference on Graphics, Patterns and Images(SIBGRAPI)!
Our paper is titled “Musical Hyperlapse: A Multimodal Approach to Accelerate First-Person Videos”. For more details about the paper, please visit the Publications Section.
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.
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.
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/
Great News! Our tutorial proposal titled “A Hands-on Tutorial on Fast Forwarding First-Person Videos” was accepted and presented at the 32nd Conference on Graphics, Patterns and Images (SIBGRAPI) 2019!
Our survey paper titled “Fast-Forward Methods for Egocentric Videos: A Review” is now available through this DOI link.
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/
Our paper titled “Making a long story short: A Multi-Importance fast-forwarding egocentric videos with the emphasis on relevant objects” has been accepted for publication in the Journal of Visual Communication and Image Representation (JVCI) 2018.
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/
Our paper titled “A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos” has been accepted in the Conference on Computer Vision and Pattern Recognition (CVPR) 2018!
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/