5 citations · 15 across the 6 of their papers we have counts for
9 papers
Perceptual Evaluation on Audio-visual Dataset of 360 Content
Randy F Fela, Andréas Pastor, Patrick Le Callet +3
To open up new possibilities to assess the multimodal perceptual quality of omnidirectional media formats, we proposed a novel open source 360 audiovisual (AV) quality dataset. The…
Deep Decoding of -coded Light Field Images
Muhammad Umair Mukati, Xi Zhang, Xiaolin Wu +1
To enrich the functionalities of traditional cameras, light field cameras record both the intensity and direction of light rays, so that images can be rendered with user-defined ca…
Perceptual Evaluation of 360 Audiovisual Quality and Machine Learning Predictions
Randy Frans Fela, Nick Zacharov, Søren Forchhammer
In an earlier study, we gathered perceptual evaluations of the audio, video, and audiovisual quality for 360 audiovisual content. This paper investigates perceived audiovisual qual…
Towards a Perceived Audiovisual Quality Model for Immersive Content
Randy Frans Fela, Nick Zacharov, Søren Forchhammer
This paper studies the quality of multimedia content focusing on 360 video and ambisonic spatial audio reproduced using a head-mounted display and a multichannel loudspeaker setup.…
Online Decomposition of Compressive Streaming Data Using - Cluster-Weighted Minimization
Huynh Van Luong, Nikos Deligiannis, Søren Forchhammer +1
We consider a decomposition method for compressive streaming data in the context of online compressive Robust Principle Component Analysis (RPCA). The proposed decomposition solves…
Incorporating Prior Information in Compressive Online Robust Principal Component Analysis
Huynh Van Luong, Nikos Deligiannis, Jurgen Seiler +2
We consider an online version of the robust Principle Component Analysis (PCA), which arises naturally in time-varying source separations such as video foreground-background separa…
Distributed Coding of Multiview Sparse Sources with Joint Recovery
Huynh Van Luong, Nikos Deligiannis, Søren Forchhammer +1
In support of applications involving multiview sources in distributed object recognition using lightweight cameras, we propose a new method for the distributed coding of sparse sou…
Sparse Signal Reconstruction with Multiple Side Information using Adaptive Weights for Multiview Sources
Huynh Van Luong, Jürgen Seiler, André Kaup +1
This work considers reconstructing a target signal in a context of distributed sparse sources. We propose an efficient reconstruction algorithm with the aid of other given sources…
Measurement Bounds for Sparse Signal Reconstruction with Multiple Side Information
Huynh Van Luong, Jurgen Seiler, Andre Kaup +2
In the context of compressed sensing (CS), this paper considers the problem of reconstructing sparse signals with the aid of other given correlated sources as multiple side informa…