Tag Archives: Daniel Moreira

Image Provenance Analysis at Scale

Posted on March 5, 2018 by

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 →

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RECOD at ICIP 2017

Posted on July 17, 2017 by

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 →

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RECODists have gotten their Ph.D. Thesis awarded

Posted on July 7, 2017 by

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 →

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Talk: Sensitive-Video Analysis

Posted on July 5, 2017 by

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 →

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Temporal robust features for violence detection

Posted on May 12, 2017 by

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 →

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Video pornography detection through deep learning techniques and motion information

Posted on March 28, 2017 by

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 →

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FSI: Pornography classification: The hidden clues in video space–time

Posted on October 19, 2016 by

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 →

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Ph.D. thesis defense: Daniel Moreira

Posted on July 22, 2016 by

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 →

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RECOD gets 2nd place at Violence Scene Detection MediaEval 2014

Posted on October 21, 2014 by

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 →

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