activity
20192026
most citedA Multimodal CNN-based Tool to Censure Inappropriate Video Scenes

5 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.MM2026

A Brief Overview about D-Profile of Ginga DTV Receivers

Marcelo F. Moreno, Debora C. Muchaluat-Saade, Guido Lemos de Souza Filho +2

The Brazilian DTV system standards have been recently revised in order to address new use cases related to deeper integration be- tween broadcast services and broadband services. S…

cs.CV2020★ 5 cited

A Cluster-Matching-Based Method for Video Face Recognition

Paulo R C Mendes, Antonio J G Busson, Sérgio Colcher +3

Face recognition systems are present in many modern solutions and thousands of applications in our daily lives. However, current solutions are not easily scalable, especially when…

eess.IV2020★ 5 cited

Video Quality Enhancement Using Deep Learning-Based Prediction Models for Quantized DCT Coefficients in MPEG I-frames

Antonio J G Busson, Paulo R C Mendes, Daniel de S Moraes +3

Recent works have successfully applied some types of Convolutional Neural Networks (CNNs) to reduce the noticeable distortion resulting from the lossy JPEG/MPEG compression techniq…

cs.MM2020★ 1 cited

A Clustering-Based Method for Automatic Educational Video Recommendation Using Deep Face-Features of Lecturers

Paulo R. C. Mendes, Eduardo S. Vieira, Álan L. V. Guedes +2

Discovering and accessing specific content within educational video bases is a challenging task, mainly because of the abundance of video content and its diversity. Recommender sys…

cs.MM2019★ 5 cited

A Multimodal CNN-based Tool to Censure Inappropriate Video Scenes

Pedro V. A. de Freitas, Paulo R. C. Mendes, Gabriel N. P. dos Santos +4

Due to the extensive use of video-sharing platforms and services for their storage, the amount of such media on the internet has become massive. This volume of data makes it diffic…