Video Quality Assessment Using Objective Parameters Based on Image Segmentation

Metadata

Publisher: SMPTE — White Plains, NY, USA
Doc Type: Journal Article
Content Type: Original Research
Abbreviated Title: SMPTE J
Volume: 108, No. 12, pp. 865–872
Abstract: This work presents a new methodology for video quality assessment using objective parameters based on image segmentation. The method is applied to a set of natural scenes and MPEG-2 video codecs. An image segmentation algorithm divides the scenes into three regions: plane, edges, and texture; and assigns a set of objective parameters to each region. A perceptual-based model is defined by computing the relationship between objective measures and results of subjective assessment tests. Thereafter, the model allows subjective rating prediction without human input. The work shows that region-based objective measurements provide more accurate predictions as compared to global measurements.
Publication Date: 1999-12-01
DOI: 10.5594/J04308
ISSN: Print: 0036-1682
Link: https://doi.org/10.5594/J04308
Author(s): A. PessoaCPqD Research & Development Center, Campinas, Brazil
bio
Antonio Claudio Franca Pessoa received a B.S. degree from the Federal University of Paraiba, Brazil, in 1985, and an M.S. degree from the State University of Campinas, Brazil, in 1990, both in electrical engineering. Since 1987, Pessoa has been at CPqD (Research and Development Center), where he has performed research in video and audio coding, video quality evaluation, and channel coding. His main interests include TV/HDTV digital transmission, voice recognition, and synthesis.
A. FalcãoState University of Campinas, Campinas, Brazil SP13803
bio
Alexandre Xavier Falcão received a B.S. in electrical engineering in 1988 from the Federal University of Pernambuco, Brazil. He has worked in image processing since 1991. In 1993, he received an M.S. in electrical engineering from the State University of Campinas, Brazil. — During 1994-1996, Falcão worked on user-steered image segmentation methods for his doctorate at the University of Pennsylvania, EUA. In 1996, he received his Ph.D. in electrical engineering from the State University of Campinas, Brazil. — Falcão worked on video quality assessment methods at CPqD-Telebras in 1997 and 1998. Currently, he is an assistant professor at the State University of Campinas. His principal interests are in the areas of image processing and analysis, digital video, and medical imaging.
R. NishiharaCPqD Research & Development Center, Campinas, Brazil
bio
Ricardo Massahiro Nishihara received B.E.E. and M.S. degrees from the State University of Campinas, Brazil, in 1992 and 1995, respectively. Since 1994 he has been employed by CPqD (Research and Development Center), where he is a member of the Digital Signal Processing Division. His technical experience has been in areas of digital image processing, video coding, image quality assessment, digital television, and digital signal processing.
A. SilvaGlobo TV Network, RJ Brazil.
bio
Ana Eliza Faria e Silva graduated from the State University of Campinas, Brazil, where she received an M.S. degree in subjective evaluation of digital compressed images, in 1997. After graduating, she joined the Digital Signal Processing Division at the CPqD (Research and Development Center), where she worked for two years. She has been working at the Globo TV Network since 1998. Her current interests are the evaluation of new broadcast systems and high-definition television.
R. LotufoState University of Campinas, Campinas, Brazil SP13803
bio
Roberto Alencar Lotufo received an electronic engineering diploma from Instituto Tecnológico de Aeron´utica, Brazil, in 1978; an M.S. degree from the State University of Campinas, Brazil, in 1981; and a Ph.D. degree from the University of Bristol, U.K., in 1990, all in electrical engineering. — Since 1981, Lotufo has been with the Department of Computer Engineering and Industrial Automation at the State University of Campinas. His principal interests are in the areas of image processing applications, multidimensional image processing and analysis, mathematical morphology, video processing, and medical imaging.
Copyright: © 1999 Society of Motion Picture and Television Engineers, Inc.

Bibliographic Reference(s)

1. ITU-T Study Group 12, Contribution Number COM 12–39, “Video Quality Assessment Using Objective Parameters Based on Image Segmentation,” Brazil, Dec. 1997 . EXTERNAL
2. ISO/IEC 11172, “Information Technology— Coding of Moving Pictures and Associated Audio for Digital Storage Media up to about 1.5 Mbit/s,” 1992 . EXTERNAL
3. ITU-T Rec. H.262, “Generic Coding of Moving Pictures and Associated Audio— Information: Video,” 1995 . EXTERNAL
4. ITU-R Rec. BT.601–5, “Studio Encoding Parameters of Digital Television for Standard 4:3 and Wide-screen 16:9 Aspect Ratios,” 1995 . EXTERNAL
5. ANSI T1.801.03-1996, “Telecommunications—Digital Transport of One-way Video Signals—Parameters for Objective Performance Assessment,” 1996 . EXTERNAL
6. ITU-R Rec. BT.500-7, “Methodology for the Subjective Assessment of the Quality of Television Pictures,” 1995 . EXTERNAL
7. ITU-R Rec. BT.802-1, “Test Pictures and Sequences for Subjective Assessment of Digital Codecs Conveying Signals Produced According to Recommendation 601,” 1994 . EXTERNAL
8. Gonzalez R. Wintz P. , Digital Image Processing , Addison Wesley : New York , 1987 . EXTERNAL
9. Dougherty E. , An Introduction to Morphological Image Processing , SPIE Opt. Eng. Press : Bellingham , 1992 . EXTERNAL
10. Kaufmann A. , Introduction to the Theory of Fuzzy Subsets , Academic Press : New York , 1975 . EXTERNAL
11. Barrera J. Banon J. F. Lotufo R. A. , “Mathematical Morphology Toolbox for the Khoros System,” Conf. on Image Algebra and Morphological Image Processing, V, Intl. Symp. on Optics, Imaging, and Instrumentation, SPIE's Annual Meeting, San Diego, CA, July 24–29, 1994 . EXTERNAL
12. ANSI TIAI Contrib. No. TIAI.5/96-121, “Objective and Subjective Measures of MPEG Video Quality,” GTE Labs., NTIA/ITS, Oct. 1996 . EXTERNAL

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A. Pessoa, A. Falcão, R. Nishihara, A. Silva, and R. Lotufo; Video Quality Assessment Using Objective Parameters Based on Image Segmentation, SMPTE Journal ( Volume: 108, Issue: 12, December 1999); SMPTE, 1999. Available at https://doi.org/10.5594/J04308

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A. Pessoa, A. Falcão, R. Nishihara, A. Silva, and R. Lotufo; Video Quality Assessment Using Objective Parameters Based on Image Segmentation, SMPTE Journal ( Volume: 108, Issue: 12, December 1999); SMPTE, 1999. Available at https://doi.org/10.5594/J04308

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<span class="citation">A. Pessoa, A. Falcão, R. Nishihara, A. Silva, and R. Lotufo; <cite>Video Quality Assessment Using Objective Parameters Based on Image Segmentation</cite>, SMPTE Journal ( Volume: 108, Issue: 12, December 1999); SMPTE, 1999. Available at <a href="https://doi.org/10.5594/J04308" target="_blank" rel="noopener">https://doi.org/10.5594/J04308</a></span>

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A. Pessoa, A. Falcão, R. Nishihara, A. Silva, and R. Lotufo; <cite id="bib-10-5594-j04308">Video Quality Assessment Using Objective Parameters Based on Image Segmentation</cite>, SMPTE Journal ( Volume: 108, Issue: 12, December 1999); SMPTE, 1999
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