Tag Archives: JVCI

Leveraging deep neural networks to fight child pornography in the age of social media

Over the past two decades, the nature of child pornography in terms of generation, distribution and possession of images drastically changed, evolving from basically covert and offline exchanges of content to a massive network of contacts and data sharing. Nowadays, … Continue reading

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RECOD’s paper is the 2017 best paper at the Elsevier JVCI

We are happy to announce that the paper entitled “Going deeper into copy-move forgery detection: Exploring image telltales via multi-scale analysis and voting processes” published at the Elsevier Journal of Visual Communication and Image Representation (JVCI) has received the 2017 … Continue reading

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Article is the second most cited in JVCI

The number of citations is one good metric, although not the only one, to evaluate the quality of a published research paper. We are very happy to highlight that our article, entitled “Comparative study of global color and texture descriptors … Continue reading

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Rate-energy-accuracy optimization of convolutional architectures for face recognition

The problem of automatically detecting and recognizing faces has received significant attention in the past fifty years and systems based on Convolutional Neural Networks (CNNs) or convolutional architectures currently represent the state of the art. In this paper, the authors … Continue reading

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