Tag Archives: Siome Goldenstein

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

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On the Reconstruction of Text Phylogeny Trees: Evaluation and Analysis of Textual Relationships

In this article, recently accepted at PLOS ONE journal and available as open access, the authors propose a framework for reconstructing text evolutionary trees, aiming at reconstructing the history of modifications that a set of related documents has gone through. … Continue reading

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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

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Master and Ph.D. defenses: Karina Bogdan and Laurindo Britto Neto, respectively

The RECODists Karina Olga Maizman Bogdan and Laurindo de Sousa Britto Neto have earned their master’s and Ph.D. degrees, respectively. Congratulations! Karina presented the dissertation entitled “Multiple Tracklet Matching under Severe Occlusions” supervised by Prof. Siome Goldenstein. Laurindo presented the … Continue reading

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PSQP – Puzzle Solving by Quadratic Programming

The traditional Jigsaw Puzzle is the problem of assembling several non-overlapping puzzle pieces that can be combined in order to obtain a single image. Despite that fact it is a NP-complete problem, much effort has been devoted to solve the … Continue reading

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Visualizing and Interacting with Kernelized Data

Kernel methods have emerged as a versatile mechanism for data classification, clustering and pattern recognition. Understanding of the mapping performed by a kernel simplifies the choice and the design of kernels as well as the fine-tuning of kernel parameters, thus … Continue reading

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A Manifold Learning Approach for Personalizing HRTFs from Anthropometric Features

This research paper presents a new anthropometry-based method to personalize head-related transfer functions (HRTFs) using manifold learning in both azimuth and elevation angles with a single nonlinear regression model. The authors, from Unicamp and Redmond Microsoft Research, propose a graph … Continue reading

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Manifold Learning and Spectral Clustering for Image Phylogeny Forests

Taking advantage of data clustering techniques in the multimedia analysis context, the paper entitled “Manifold Learning and Spectral Clustering for Image Phylogeny Forests” describes how to find the image phylogeny forests based on images that inherit content from a single … Continue reading

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Distances in multimedia phylogeny

The dissimilarity between two objects determines how far apart they are with respect to each other. In this paper, Marina Oikawa, Zanoni Dias, Anderson Rocha and Siome Goldenstein provide an overview of the distance concept in multimedia phylogeny, a novel research field … Continue reading

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RECOD celebrates its 6th year !

RECOD lab celebrated its sixth year of continued success with a big party last Friday. The anniversary was a little late — the lab was actually founded in October 2011, but the party was no less fun for the wait. … Continue reading

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