학술논문

Comparison of Remote Subjective Assessment Strategies in the Context of the JPEG Pleno Point Cloud Activity
Document Type
Conference
Source
2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP) Multimedia Signal Processing (MMSP), 2021 IEEE 23rd International Workshop on. :1-6 Oct, 2021
Subject
Communication, Networking and Broadcast Technologies
Signal Processing and Analysis
Point cloud compression
Systematics
Transform coding
Web pages
Encoding
Software
Browsers
JPEG
point cloud
subjective assessment
crowd sourcing
coding
Language
ISSN
2473-3628
Abstract
In this work we compare two different options to perform on-line subjective quality assessment experiments in the context of the Call for Evidence on JPEG Pleno Point Cloud Coding. A deep-learning based point cloud codec submitted to the Call was tested against current MPEG point cloud compression methods. The first option is based on participants downloading the entire set of stimuli and running a set of scripts in MATLAB to perform the experiment. The second option involves the participants accessing a server on the web and viewing and judging the stimuli using a web browser. Quality scores compiled using both methods were compared showing strong correlation. A second analysis compared the quality scores with those obtained in a prior laboratory-based study using higher resolution screens. The entire study also brought to light each option’s unique advantages and disadvantages that make each one better suited to specific types of subjective evaluation contexts and situations.