Comparison of objective quality metrics on the scalable extension of H.264/AVC

Jong Seok Lee

doi:10.1109/ICIP.2012.6466954

Comparison of objective quality metrics on the scalable extension of H.264/AVC

Jong Seok Lee

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

Due to the recent interest in video content delivery applications in networked environments, automatic quality assessment of scalable videos is becoming an important issue. This paper presents a study comparing the performance of objective metrics developed for quality assessment of scalable videos. A database containing video sequences produced by the scalable extension of H.264/AVC and corresponding subjective ratings is used for benchmarking. We aim at investigating the maximal capabilities of the metrics via optimization of their parameters on the database. Experimental results show that they outperform the peak signal-to-noise ratio (PSNR) and a correlation coefficient higher than 0.9 can be achieved, but there is still room for improvement in order to facilitate reliable objective quality assessment.

Original language	English
Title of host publication	2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
Pages	693-696
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2012.6466954
Publication status	Published - 2012
Event	2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States Duration: 2012 Sept 30 → 2012 Oct 3

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Other

Other	2012 19th IEEE International Conference on Image Processing, ICIP 2012
Country/Territory	United States
City	Lake Buena Vista, FL
Period	12/9/30 → 12/10/3

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Information Systems

Access to Document

10.1109/ICIP.2012.6466954

Cite this

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title = "Comparison of objective quality metrics on the scalable extension of H.264/AVC",

abstract = "Due to the recent interest in video content delivery applications in networked environments, automatic quality assessment of scalable videos is becoming an important issue. This paper presents a study comparing the performance of objective metrics developed for quality assessment of scalable videos. A database containing video sequences produced by the scalable extension of H.264/AVC and corresponding subjective ratings is used for benchmarking. We aim at investigating the maximal capabilities of the metrics via optimization of their parameters on the database. Experimental results show that they outperform the peak signal-to-noise ratio (PSNR) and a correlation coefficient higher than 0.9 can be achieved, but there is still room for improvement in order to facilitate reliable objective quality assessment.",

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Lee, JS 2012, Comparison of objective quality metrics on the scalable extension of H.264/AVC. in 2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings., 6466954, Proceedings - International Conference on Image Processing, ICIP, pp. 693-696, 2012 19th IEEE International Conference on Image Processing, ICIP 2012, Lake Buena Vista, FL, United States, 12/9/30. https://doi.org/10.1109/ICIP.2012.6466954

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AB - Due to the recent interest in video content delivery applications in networked environments, automatic quality assessment of scalable videos is becoming an important issue. This paper presents a study comparing the performance of objective metrics developed for quality assessment of scalable videos. A database containing video sequences produced by the scalable extension of H.264/AVC and corresponding subjective ratings is used for benchmarking. We aim at investigating the maximal capabilities of the metrics via optimization of their parameters on the database. Experimental results show that they outperform the peak signal-to-noise ratio (PSNR) and a correlation coefficient higher than 0.9 can be achieved, but there is still room for improvement in order to facilitate reliable objective quality assessment.

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Comparison of objective quality metrics on the scalable extension of H.264/AVC

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