16 citations · 17 across the 6 of their papers we have counts for
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cs.MM2020
How deep is your encoder: an analysis of features descriptors for an autoencoder-based audio-visual quality metric
Helard Martinez, Andrew Hines, Mylene C. Q. Farias
The development of audio-visual quality assessment models poses a number of challenges in order to obtain accurate predictions. One of these challenges is the modelling of the comp…
cs.MM2020★ 16 cited
NAViDAd: A No-Reference Audio-Visual Quality Metric Based on a Deep Autoencoder
Helard Martinez, M. C. Farias, A. Hines
The development of models for quality prediction of both audio and video signals is a fairly mature field. But, although several multimodal models have been proposed, the area of a…