On the Performance of Temporal Pooling Methods for Quality Assessment of Dynamic Point Clouds

Freitas, Pedro Garcia; Gonçalves, Mateus; Homonnai, Johann; Diniz, Rafael; Farias, Márcio Muniz de

doi:10.1109/qomex55416.2022.9900906

2022 14th International Conference on Quality of Multimedia Experience (QoMEX) 2022

DOI: 10.1109/qomex55416.2022.9900906

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On the Performance of Temporal Pooling Methods for Quality Assessment of Dynamic Point Clouds

Pedro Garcia Freitas¹,

Mateus Gonçalves²,

Johann Homonnai³

et al.

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3D22MX: Performance Subjective Evaluation of 3D/Stereoscopic Image Processing and Analysis

et al. 2022

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This work is divided into three parts: (i) a methodology developed for building a 3D/ stereoscopic database, called 3D22MX, (ii) a software tool designed for degradation of 3D/stereoscopic images, and (iii) a psychophysical experiment carried out for a specific type of noise. The novelty of this work is to integrate these three parts precisely to provide not only professionals who design algorithms to estimate three-dimensional image quality but also those who wish to generate new image databases. For the development of the 3D/stereoscopic database, 15 indoor images and 5 outdoor ones were spatial-calibrated and lighted for different types of scenarios. Criteria calibration is different for indoor images with respect to outdoor images. The software tool to degrade 3D/stereoscopic images is designed from MatLab programming language since images captured in the first part are calculated for achieving several image degradation. Our program has ten different types of noises for degradation, such as white Gauss impulse, localvar, spatial correlation, salt & pepper, speckle, blur, contrast, jpeg, and j2k. Due to each type of noise containing up to five levels of degradation, in this proposal, a database of 20 images is required to design a tool for degrading and generating three-dimensional images ranging from all types of noise to yield psychophysical. Finally, there are applied specific criteria to carry out some psychophysical experiments with 3D/stereoscopic images. Moreover, we analyzed the methodology used to qualify and apply images to the j2k noise, explaining every degradation level for this noise.

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3D22MX: Performance Subjective Evaluation of 3D/Stereoscopic Image Processing and Analysis

et al. 2022

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On the Performance of Temporal Pooling Methods for Quality Assessment of Dynamic Point Clouds

Cited by 1 publication

References 37 publications

3D22MX: Performance Subjective Evaluation of 3D/Stereoscopic Image Processing and Analysis

3D22MX: Performance Subjective Evaluation of 3D/Stereoscopic Image Processing and Analysis

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