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Tag Archives: Daniel Moreira
Image Provenance Analysis at Scale
In this article, the authors present a fully automated large-scale end-to-end pipeline that starts with the step of provenance image filtering (over millions of images) and ends up with the provenance graphs. The most immediate application of provenance image filtering … Continue reading
Posted in blog, DéjàVu, publications, science
Tagged Allan Pinto, Anderson Rocha, Aparna Bharati, arXiv.org, Daniel Moreira, Digital Humanities, Digital Image Forensics, Graphs, image phylogeny, Image Provenance, Image Provenance Analysis, image retrieval, Joel Brogan, Kevin W. Bowyer, Michael Parowski, Patrick J. Flynn, Provenance Analysis, Provenance Analysis at Scale, Walter J. Scheirer
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RECOD at ICIP 2017
The 2017 IEEE International Conference on Image Processing (ICIP 2017), to be held in China on September, will have three papers from RECOD. These papers are examples of the obtained results from the collaboration between University of Campinas and University … Continue reading
RECODists have gotten their Ph.D. Thesis awarded
Two Ph.D. Thesis from RECOD lab have been awarded recently. First, the thesis entitled “Multi-Analysis Techniques for Digital Image Forensics” from Anselmo Castelo Branco Ferreira under the supervision of Prof. Anderson Rocha and co-supervision of Prof. Jefersson dos Santos won … Continue reading
Talk: Sensitive-Video Analysis
This week, on July 6th, Daniel Moreira will talk about his doctoral research entitle “Sensitive-Video Analysis” developed at RECOD under Prof. Anderson Rocha supervision. The talk will happen at Unicamp/IC-3 main auditorium at 2 pm. Currently, he is a postdoctoral … Continue reading
Posted in blog, Keynotes, talk
Tagged Anderson Rocha, Daniel Moreira, IC, Sensitive-Video Analysis, talk
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Temporal robust features for violence detection
Automatically detecting violence in videos is paramount for enforcing the law and providing the society with better policies for safer public places. In addition, it may be essential for protecting minors from accessing inappropriate contents on-line, and for helping parents … Continue reading
Posted in blog, publications, science
Tagged Anderson Rocha, Bag-of-VisualWords, Daniel Moraes, Daniel Moreira, Eduardo Valle, IEEE Winter Conference on Applications of Computer Vision, Mauricio Perez, Sandra Avila, Siome Goldenstein, Temporal features, Temporal Robust Features, Vanessa Testoni, violence detection, WACV
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Video pornography detection through deep learning techniques and motion information
In this paper, the authors deal with a growing issue of our connected society: automated sensitive media (pornographic, violent, gory, etc.) filtering. A range of applications has increased societal interest on the problem, e.g., detecting inappropriate behavior via surveillance cameras; … Continue reading
Posted in blog, publications, science
Tagged Anderson Rocha, Daniel Moraes, Daniel Moreira, Deep learning and motion information, Eduardo Valle, Mauricio Perez, MPEG motion vectors, Neurocomputing, Optical flow, Pornography classification, Samsung, Sandra Avila, Siome Goldenstein, Vanessa Testoni, video pornography classification
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FSI: Pornography classification: The hidden clues in video space–time
We are glad to announce that our journal paper “Pornography classification: The hidden clues in video space–time” has been accepted at Forensic Science International Journal, Volume 268 , 46-61, 2016. In the paper, the authors deal with an important issue … Continue reading
Posted in blog, publications, science
Tagged Anderson Rocha, Daniel Moraes, Daniel Moreira, Eduardo Valle, Fisher Vector, Forensic Science International, FSI, Mauricio Perez, Pornography-2k dataset, Sandra Avila, sensitive media, Siome Godenstein, temporal information, TRoF, Vanessa Testoni, video pornography classification
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Ph.D. thesis defense: Daniel Moreira
The RECODist Daniel Henriques Moreira has earned his Ph.D. degree with the thesis entitled “Sensitive-Video Analysis” supervised by Prof. Anderson Rocha, from RECOD, and co-supervised by Prof. Siome Goldenstein. The abstract is: Sensitive video can be defined as any … Continue reading
RECOD gets 2nd place at Violence Scene Detection MediaEval 2014
RECOD team at MediaEval 2014 (MediaEval Benchmarking Initiative for Multimedia Evaluation) got the 2nd place at the generalization task (YouTube videos) of the Violent Scene Detection competition. The team was formed by Profs. Anderson Rocha, Eduardo Valle and Siome Goldenstein, … Continue reading
