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Video face replacement

Kevin Dale, Kalyan Sunkavalli, Micah K. Johnson, Daniel Vlasic, Wojciech Matusik, Hanspeter Pfister
2011 Proceedings of the 2011 SIGGRAPH Asia Conference on - SA '11  
a) Source (b) Target (c) Aligned (d) Three frames of the blended result Figure 1: Our method for face replacement requires only single-camera video of the source (a) and target (b) subject, which allows  ...  Abstract We present a method for replacing facial performances in video. Our approach accounts for differences in identity, visual appearance, speech, and timing between source and target videos.  ...  Acknowledgements The authors thank Karen Xiao for help reprocessing the face scan data and Karen, Michelle Borkin, and Amanda Peters for participating as video subjects.  ... 
doi:10.1145/2070752.2024164 fatcat:vaohnefkqrfpxh2nr7s5i6kki4

Video face replacement

Kevin Dale, Kalyan Sunkavalli, Micah K. Johnson, Daniel Vlasic, Wojciech Matusik, Hanspeter Pfister
2011 Proceedings of the 2011 SIGGRAPH Asia Conference on - SA '11  
a) Source (b) Target (c) Aligned (d) Three frames of the blended result Figure 1: Our method for face replacement requires only single-camera video of the source (a) and target (b) subject, which allows  ...  Abstract We present a method for replacing facial performances in video. Our approach accounts for differences in identity, visual appearance, speech, and timing between source and target videos.  ...  Acknowledgements The authors thank Karen Xiao for help reprocessing the face scan data and Karen, Michelle Borkin, and Amanda Peters for participating as video subjects.  ... 
doi:10.1145/2024156.2024164 fatcat:uj47pi7lbnelbogafpls5qjf5e

Video face replacement

Kevin Dale, Kalyan Sunkavalli, Micah K. Johnson, Daniel Vlasic, Wojciech Matusik, Hanspeter Pfister
2011 ACM Transactions on Graphics  
a) Source (b) Target (c) Aligned (d) Three frames of the blended result Figure 1: Our method for face replacement requires only single-camera video of the source (a) and target (b) subject, which allows  ...  Abstract We present a method for replacing facial performances in video. Our approach accounts for differences in identity, visual appearance, speech, and timing between source and target videos.  ...  Acknowledgements The authors thank Karen Xiao for help reprocessing the face scan data and Karen, Michelle Borkin, and Amanda Peters for participating as video subjects.  ... 
doi:10.1145/2070781.2024164 fatcat:2xhzidcfrrajjazpmfsrwez7cu

3D-model-based face replacement in video

Yi-Ting Cheng, Virginia Tzeng, Yu Liang, Chuan-Chang Wang, Bing-Yu Chen, Yung-Yu Chuang, Ming Ouhyoung
2009 SIGGRAPH '09: Posters on - SIGGRAPH '09  
Given the target video and two pictures of the face to replace with, we can replace the target face in video by a small amount of user inputs: setting the initial guess for face alignment in the first  ...  Conclusion and future work We have created a system for face replacement in video.  ... 
doi:10.1145/1599301.1599330 dblp:conf/siggraph/ChengTLWCCO09 fatcat:pbnv7o6ho5hg3mwfkah7r4htk4

Does Replacing Face-to-face Lectures with Pre-recorded Video Lectures Affect Learning Outcomes?

Nestori Syynimaa
2019 Proceedings of the 11th International Conference on Computer Supported Education  
Videoing lectures have been popular during the past decade. The literature on the effect of video lectures is controversial.  ...  In this paper, we share the results of a university undergraduate course, where half of the lectures were replaced by pre-recorded lectures.  ...  In this paper, experiences and insights from an undergraduate course, where half of the lectures were replaced with pre-recorded video lectures, are shared.  ... 
doi:10.5220/0007744804540457 dblp:conf/csedu/Syynimaa19 fatcat:24np2grg3zft7k5axrve3r4pu4

Image Registration Based Flicker Solving in Video Face Replacement and Analysis Based Sub-pixel Image Registration [article]

Xiaofang Wang, Guoqiang Xiang, Xinyue Zhang, Wei Wei
2018 arXiv   pre-print
In this paper, a framework of video face replacement is proposed and it deals with the flicker of swapped face in video sequence.  ...  Flicker in resulted videos is usually caused by the frequently changed bound of the blending target face and unregistered faces between and along video sequences.  ...  Proposed Method Framework of video face replacement The framework of proposed video face replacement is shown in Fig.1 , and it can be separated into 3 parts, face detection and landmarks location,  ... 
arXiv:1803.05851v1 fatcat:rx4c5vllynfivalfnf3afi6qlq

Can video consultations replace face-to-face interviews? Palliative medicine and the Covid-19 pandemic: rapid review

Anna Elizabeth Sutherland, Jane Stickland, Bee Wee
2020 BMJ Supportive & Palliative Care  
During the Covid-19 pandemic, a strategy to minimise face-to-face (FtF) visits and limit viral spread is essential.  ...  Organisations must ensure software is simple, effective, reliable and safe, with the highest level of security for confidentiality.Although video consultations cannot fully replace FtF, they can radically  ...  There was uncertainty about whether video consultations could entirely replace FtF visits.  ... 
doi:10.1136/bmjspcare-2020-002326 pmid:32457086 fatcat:ufwo7qymovdi3fu7pch3yu62di

Blended versus face-to-face: Evidence from a graduate corporate finance class

Maretno Agus Harjoto
2017 Journal of Education for Business  
This study compares students' perceptions on pre-lecture videos to replace face-to-face classes in blended and face-to-face (F2F) for graduate corporate finance class.  ...  Using 176 anonymous survey responses from eight F2F and two blended classes during 2014 to 2016, I find that students in blended classes have higher perceptions that pre-lecture videos could replace face-to-face  ...  This result is expected since blended students have to utilize the pre-lecture videos to replace their face-to-face lectures.  ... 
doi:10.1080/08832323.2017.1299082 fatcat:2tzp7jxzfjgbpmobaqfrcy3ifq

Cartooning for Enhanced Privacy in Lifelogging and Streaming Videos

Eman T. Hassan, Rakibul Hasan, Patrick Shaffer, David Crandall, Apu Kapadia
2017 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
We describe an object replacement approach whereby privacy-sensitive objects in videos are replaced by abstract cartoons taken from clip art.  ...  We conducted a user study (N=85) to discern the utility and effectiveness of our cartoon replacement technique.  ...  Face Cartooning Faces are particularly sensitive and common in streaming videos, so we handle them separately.  ... 
doi:10.1109/cvprw.2017.175 dblp:conf/cvpr/HassanHSCK17 fatcat:rnqqu24xdbbxhcjq3iwpl7chcm

Real-time face swapping as a tool for understanding infant self-recognition [article]

Sao Mai Nguyen, Masaki Ogino, Minoru Asada
2011 arXiv   pre-print
videos.  ...  To study the preference of infants for contingency of movements and familiarity of faces during self-recognition task, we built, as an accurate and instantaneous imitator, a real-time face- swapper for  ...  Acknowledgement: We would like to thank Pierre-Yves Oudeyer for his helpful comments on the draft of this paper and Sawa Fuke for her support for the demonstration video.  ... 
arXiv:1112.2095v1 fatcat:ec2xv65ufbb7xgkkaaghtioz2u

Videoshop: A new framework for spatio-temporal video editing in gradient domain

Hongcheng Wang, Ning Xu, Ramesh Raskar, Narendra Ahuja
2007 Graphical Models  
, which is up to twice as fast as a simple conventional multigrid algorithm; finally, we introduce a set of new applications, such as face replacement and painting, high dynamic range video compression  ...  We evaluate our algorithm using a variety of examples for image/video or video/video pairs. The resulting video can be seamlessly reconstructed.  ...  Digital face replacement and painting Digital face replacement and painting involves replacing the face of a person in a target image using the face of another person in a source video.  ... 
doi:10.1016/j.gmod.2006.06.002 fatcat:zpgdtt3hbba6tgkvrwi5c6ltvi

DEEPFAKE DETECTION USING COMPUTER VISION

Ankit Mishra, Aman Verma, Arunav Dey, Abhay Singh
2021 International Journal of Engineering Applied Sciences and Technology  
Main motive of this research is to develop a solution or methodology that can decide whether the face in the video was replace using DeepFake technology or not with some probability.  ...  These days, a problem of AI-generated face swapping videos are rising rapidly, also known as the DeepFakes.  ...  These days, there are many dangerous ways of implementing face swapping algorithms for e.g., like faceswap, in which the face of a person in the video is spontaneously replaced with another person's face  ... 
doi:10.33564/ijeast.2021.v06i02.010 fatcat:qj3x4wvmh5gknluc7mr7beqh6q

[Paper] Speech-driven Face Reenactment for a Video Sequence

Yuta Nakashima, Takaaki Yasui, Leon Nguyen, Noboru Babaguchi
2020 ITE Transactions on Media Technology and Applications  
While retaining temporal consistency, these extracted mouth regions then replace the original mouth regions in the video sequence, synthesizing a reenactment video where the person seemingly gives the  ...  Given a video sequence with the corresponding audio track of a person giving a speech and another audio track containing different speech from the same person, we reconstruct a 3D mesh of the face in each  ...  The original face mesh M k is then modified to replace its mouth region with that ofM k .  ... 
doi:10.3169/mta.8.60 fatcat:pdam5c4sxjemfojdkhhojfytdi

Frame Scrambling Algorithm for Video Surveillance Systems

D. Sathya Srinivas, Dr. S. Veni
2015 International Journal of Engineering Research and  
In this paper, the researchers propose an algorithm based on graph coloring technique to scramble frame sequences and the content of frames in video surveillance videos.  ...  Furthermore, the proposed algorithm does not require any algorithm to identify the region of interest and video inpainting algorithm to erase privacy information from video.  ...  Object replacement technique Object replacement techniques replace sensitive information such as human facesor bodies with generic faces [16] or stick figures [3] for privacy protection.  ... 
doi:10.17577/ijertv4is090617 fatcat:rfaatn76brc4thvuth2td3ow4e

Improved Quality Keyframe Selection Method for HD Video

2019 KSII Transactions on Internet and Information Systems  
According to the evaluation metrics and the priority, the low-quality keyframe is selected as a replacement target. The replacement target keyframe is replaced with a high-quality frame in the shot.  ...  Approximately 45% of the replaced keyframes were improved and about 18% of the replaced keyframes were adversely affected.  ...  Thus we detect faces, and then keyframes without faces are considered to be a low-quality keyframe to be replaced.  ... 
doi:10.3837/tiis.2019.06.017 fatcat:bznxjkfk2nbs5pwkiveer7u2um
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