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Journal articles on the topic 'Objective and subjective quality'

Author: Grafiati

Published: 22 April 2023

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1

Åkerstedt, Torbjörn, Göran Kecklund, and John Axelsson. "Subjective and objective quality of sleep." Somnologie - Schlafforschung und Schlafmedizin 12, no. 2 (June 2008): 104–9. http://dx.doi.org/10.1007/s11818-008-0342-z.

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2

Hands, D. S., M. D. Brotherton, A. Bourret, and D. Bayart. "Subjective quality assessment for objective quality model development." Electronics Letters 41, no. 7 (2005): 408. http://dx.doi.org/10.1049/el:20058339.

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3

Ford, A., K. Hansen, M. Herrington, J. Moisander, S. Nottingham, S. Prytz, and M. Zorin. "SUBJECTIVE AND OBJECTIVE DETERMINATION OF STRAWBERRY QUALITY." Acta Horticulturae, no. 439 (September 1997): 319–24. http://dx.doi.org/10.17660/actahortic.1997.439.50.

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4

Data, S., and F. Frigerio. "Objective evaluation of handling quality." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 216, no. 4 (April 1, 2002): 297–305. http://dx.doi.org/10.1243/0954407021529129.

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Vehicle dynamics quality is generally evaluated by two approaches: subjective evaluations using driver ratings and objective measurements of vehicle dynamics characteristics. In both approaches it is important to define features of vehicle dynamics in order to cover all aspects, but without redundancy. For this reason, the first part of the paper tries to summarize the principal qualities and to how they might be organized. In the second part, the paper describes those procedures that can be used to obtain objective quality indices. First of all, criteria used in subjective testing (questionnaire design, jury selection, etc.) are described. Then it is determined which manoeuvres can be performed, and which physical quantities should be considered, in order to obtain objective parameters that correlate with subjective evaluation. After this, the paper briefly describes the statistical technique used to identify which measured variables best correlate with vehicle dynamics qualities. In the third part, the paper contains a practical application of the objective index identification procedure regarding handling quality. Some examples are given about how these indices are used in different phases of a new car development, from target setting to target deployment, and in target achievement and verification during final tuning.

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Macků, Karel, Jan Caha, Vít Pászto, and Pavel Tuček. "Subjective or Objective? How Objective Measures Relate to Subjective Life Satisfaction in Europe." ISPRS International Journal of Geo-Information 9, no. 5 (May 12, 2020): 320. http://dx.doi.org/10.3390/ijgi9050320.

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Quality of life and life satisfaction are topics that currently receive a great deal of attention across the globe. Many approaches exist, which use both qualitative and quantitative methods, to capture these phenomena. Historically, quality of life was measured exclusively by economic indicators. However, it is indisputable that other factors influence people’s life satisfaction, which is captured by subjective survey-based data. By contrast, objective data can easily be obtained and cover a wider range, in terms of population and area. In this research, the multiple fuzzy linear regression model is applied in order to explain the relationship between subjective life satisfaction and selected objective indicators used to evaluate quality of life. The great advantage of the fuzzy model lies in its ability to capture uncertainty, which is undoubtedly associated with the vague concept of subjective life satisfaction. The main outcome of the paper is the detection of indicators that have a statistically significant relationship with life satisfaction. Subsequently, a pan-European sub-national prediction of life satisfaction after the consideration of the most relevant input indicators was proposed, including the uncertainty associated with the prediction of such a phenomenon. The study revealed significant regional differences and similarities between the originally reported satisfaction of life and the predicted one. With the help of spatial and non-spatial statistics supported by visual analysis, it is possible to assess life satisfaction more precisely, while taking into account the ambiguity of the perception of life satisfaction. Additionally, predicted values supplemented with the uncertainty measure (fuzzy approach) and the synthesis of results in the form of European typology help to compare and contrast the results in a more useful manner than in existing studies.

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6

vom Lehn, Dirk, Helena Webb, Christian Heath, and Will Gibson. "Objective Measures and Subjective Reports." International Review of Qualitative Research 10, no. 2 (August 2017): 128–48. http://dx.doi.org/10.1525/irqr.2017.10.2.128.

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The paper discusses how visual research methods that draw on ethnomethodology and conversation analysis can help sociologists to reveal how optometrists’ assess the clarity of their clients’ distance vision. It argues that the detailed analysis of video-recorded interactions in optometric consultation rooms can help reveal the practical organization of the ‘routine’ work through which optometrists examine and assess their clients’ sight. Save for the contribution of the paper to methodological discussions about the use of visual data for the analysis of the practical work of optometrists, the paper also demonstrates how video-based research can add to recent debates in organizational sociology, workplace studies, and practice theory as well as to discussions about service quality and quality of care in health-service settings.

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7

Dumic, Emil, and Luis A. da Silva Cruz. "Point Cloud Coding Solutions, Subjective Assessment and Objective Measures: A Case Study." Symmetry 12, no. 12 (November 26, 2020): 1955. http://dx.doi.org/10.3390/sym12121955.

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This paper presents a summary of recent progress in compression, subjective assessment and objective quality measures of point cloud representations of three dimensional visual information. Different existing point cloud datasets, as well as discusses the protocols that have been proposed to evaluate the subjective quality of point cloud data. Several geometry and attribute point cloud data objective quality measures are also presented and described. A case study on the evaluation of subjective quality of point clouds in two laboratories is presented. Six original point clouds degraded with G-PCC and V-PCC point cloud compression and five degradation levels were subjectively evaluated, showing high inter-laboratory correlation. Furthermore, performance of several geometry-based objective quality measures applied to the same data are described, concluding that the highest correlation with subjective scores is obtained using point-to-plane measures. Finally, several current challenges and future research directions on point clouds compression and quality evaluation are discussed.

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8

Bridgelall, Raj. "Relating subjective ride quality ratings to objective measures." Transport Policy 126 (September 2022): 199–203. http://dx.doi.org/10.1016/j.tranpol.2022.07.023.

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9

Zhang, Huiqing, Donghao Li, Yibing Yu, and Nan Guo. "Subjective and Objective Quality Assessments of Display Products." Entropy 23, no. 7 (June 26, 2021): 814. http://dx.doi.org/10.3390/e23070814.

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In recent years, people’s daily lives have become inseparable from a variety of electronic devices, especially mobile phones, which have undoubtedly become necessity in people’s daily lives. In this paper, we are looking for a reliable way to acquire visual quality of the display product so that we can improve the user’s experience with the display product. This paper proposes two major contributions: the first one is the establishment of a new subjective assessment database (DPQAD) of display products’ screen images. Specifically, we invited 57 inexperienced observers to rate 150 screen images showing the display product. At the same time, in order to improve the reliability of screen display quality score, we combined the single stimulation method with the stimulation comparison method to evaluate the newly created display products’ screen images database effectively. The second one is the development of a new no-reference image quality assessment (IQA) metric. For a given image of the display product, first our method extracts 27 features by analyzing the contrast, sharpness, brightness, etc., and then uses the regression module to obtain the visual quality score. Comprehensive experiments show that our method can evaluate natural scene images and screen content images at the same time. Moreover, compared with ten state-of-the-art IQA methods, our method shows obvious superiority on DPQAD.

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10

Narvaez, Jenille M., Elizabeth W. Twamley, Christine L. McKibbin, Robert K. Heaton, and Thomas L. Patterson. "Subjective and objective quality of life in schizophrenia." Schizophrenia Research 98, no. 1-3 (January 2008): 201–8. http://dx.doi.org/10.1016/j.schres.2007.09.001.

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11

Fitzgerald, P. B., A. Adams, N. Corteling, C. L. Williams, S. L. Filia, A. R. de Castella, T. Rolfe, B. Montgomery, and J. Kulkarni. "Subjective and objective quality of life in schizophrenia." Schizophrenia Research 41, no. 1 (January 2000): 301. http://dx.doi.org/10.1016/s0920-9964(00)91067-3.

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12

Naber, Dieter. "SUBJECTIVE VS OBJECTIVE QUALITY OF LIFE, CLINICAL IMPLICATIONS." Schizophrenia Research 102, no. 1-3 (June 2008): 27. http://dx.doi.org/10.1016/s0920-9964(08)70086-0.

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13

Deb, Saikat, and Mokaddes Ali Ahmed. "Quality assessment of city bus service based on subjective and objective service quality dimensions." Benchmarking: An International Journal 26, no. 2 (March 4, 2019): 567–89. http://dx.doi.org/10.1108/bij-11-2017-0309.

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PurposeThe purpose of this paper is to estimate and compare the service quality of the city bus service measured by two different approaches which are subjective service quality dimensions and objective service quality dimensions.Design/methodology/approachThe objective service quality dimensions have been estimated based on the benchmarking technique provided by the Ministry of Urban Development, India. For the analysis of subjective service quality dimensions, a questionnaire survey has been conducted to measure the users’ satisfaction and dissatisfaction about the service. The questionnaire consists of users’ socioeconomic characteristics and 23 questions related to city bus service quality dimensions. Questionnaire data have been analyzed by factor analysis, regression analysis and path analysis to find out the indicators representing subjective service quality dimensions. Finally, the overall service quality of the bus service has been determined based on both the measures.FindingsThe study indicates that the overall service quality of the bus service is different for subjective and objective analyses. While the objective measures show that the service quality is very good, the subjective measures indicate that the service is not doing well.Research limitations/implicationsThe analysis of the subjective dimensions is complicated. Analysis of the subjective dimensions needed more expertise and resources than the objective analysis.Originality/valueIn this study, the estimated service quality of the bus service is more reliable than the other methods as it comprises of both operators’ perspective and passengers’ expectations from the service.

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14

Park, Hyung-ju, and Dong-hwan Har. "Subjective image quality assessment based on objective image quality measurement factors." IEEE Transactions on Consumer Electronics 57, no. 3 (August 2011): 1176–84. http://dx.doi.org/10.1109/tce.2011.6018872.

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15

Franzitta, V., A. Milone, Daniele Milone, Marco Trapanese, and Alessia Viola. "A Procedure to Evaluate the Indoor Global Quality by a Sub Objective-Objective Procedure." Advanced Materials Research 734-737 (August 2013): 3065–70. http://dx.doi.org/10.4028/www.scientific.net/amr.734-737.3065.

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This paper proposes two complementary procedures for assessing the indoor global comfort: the first one, prevalently objective, is based on the acquisition of microclimate measured data and computed subjective values; the second one, that is purely subjective, uses a questionnaire drawn from the ISO/DP 10551 Recommendation. An application to some lecture-halls is here showed

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16

Park, Hyung-Ju, and Dong-Hwan Har. "Correlation Research between Objective and Subjective Image Quality Assessment." Journal of the Korea Contents Association 11, no. 8 (August 28, 2011): 68–76. http://dx.doi.org/10.5392/jkca.2011.11.8.068.

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17

Orwig, Russell L., and Michael D. Fimmen. "Quality of Life Comparison: Objective Assessment versus Subjective Assessment." Journal of Baccalaureate Social Work 11, no. 1 (September 1, 2005): 30–39. http://dx.doi.org/10.18084/1084-7219.11.1.30.

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Quality of life assessment has been proposed as a possible research tool for evaluating the life experiences of individuals in different cultures. The bulk of the literature on quality of life recognizes the existence of two separate but related measures of quality of life: objective measures (tangible and observable measures) and subjective measures (cognitive assessment or satisfaction with existing tangibles). The question is whether the subjective and objective measure of general quality of life of one culture can be used to assess or predict the quality of life in another. The current investigation suggests quality of life is best assessed within the context of the culture in which the individual resides and makes recommendations for social work education to reinforce cultural sensitivity through study abroad in order to prepare future social workers to meet the social service demands in a globalized world.

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18

Shrestha, Prarthana, Rik Kneepkens, Gijs van Elswijk, Jeroen Vrijnsen, Roxana Ion, Dirk Verhagen, Esther Abels, Dirk Vossen, and and Bas Hulsken. "Objective and Subjective Assessment of Digital Pathology Image Quality." AIMS Medical Science 2, no. 1 (2015): 65–78. http://dx.doi.org/10.3934/medsci.2015.1.65.

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19

Zerman, Emin, Pan Gao, Cagri Ozcinar, and Aljosa Smolic. "Subjective and Objective Quality Assessment for Volumetric Video Compression." Electronic Imaging 2019, no. 10 (January 13, 2019): 323–1. http://dx.doi.org/10.2352/issn.2470-1173.2019.10.iqsp-323.

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20

Mytiai, Yurii Oleksandrovych, Kseniia Serhiivna Zamsha, Bohdan Valentynovych Lozinskyi, Olena Stepanivna Stepanovska, and Arkadii Mykolaiovych Prodeus. "Objective and subjective assessment of bandlimited signaling speech quality." Electronics and Communications 21, no. 1 (November 16, 2016): 18–26. http://dx.doi.org/10.20535/2312-1807.2016.21.1.82250.

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21

Cheng, Shan, Huanqiang Zeng, Jing Chen, Junhui Hou, Jianqing Zhu, and Kai-Kuang Ma. "Screen Content Video Quality Assessment: Subjective and Objective Study." IEEE Transactions on Image Processing 29 (2020): 8636–51. http://dx.doi.org/10.1109/tip.2020.3018256.

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22

Chiu, Eva, Donald G. Jamieson, Vijay Parsa, and Leonard Cornelisse. "Objective and subjective measures of hearing aid sound quality." Journal of the Acoustical Society of America 100, no. 4 (October 1996): 2817. http://dx.doi.org/10.1121/1.416606.

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23

Duanning Zhou, Jian Ma, and E. Turban. "Journal quality assessment: an integrated subjective and objective approach." IEEE Transactions on Engineering Management 48, no. 4 (2001): 479–90. http://dx.doi.org/10.1109/17.969425.

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24

Beerends, John G., Niels M. P. Neumann, Egon L. van den Broek, Anna Llagostera Casanovas, Jovana Torres Menendez, Christian Schmidmer, and Jens Berger. "Subjective and Objective Assessment of Full Bandwidth Speech Quality." IEEE/ACM Transactions on Audio, Speech, and Language Processing 28 (2020): 440–49. http://dx.doi.org/10.1109/taslp.2019.2957871.

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25

Elsenbruch, Sigrid, Michael J. Harnish, and William C. Orr. "Subjective and objective sleep quality in irritable bowel syndrome." American Journal of Gastroenterology 94, no. 9 (September 1999): 2447–52. http://dx.doi.org/10.1111/j.1572-0241.1999.01374.x.

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26

KEKLUND, GORAN, and TORBJORN AKERSTEDT. "Objective components of individual differences in subjective sleep quality." Journal of Sleep Research 6, no. 4 (December 1997): 217–20. http://dx.doi.org/10.1111/j.1365-2869.1997.00217.x.

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27

Kelley, Dakota M., and Lily M. Wang. "Correlation of subjective and objective measures of spectral quality." Journal of the Acoustical Society of America 125, no. 4 (April 2009): 2708. http://dx.doi.org/10.1121/1.4784379.

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28

Elsenbruch, S., M. Harnish, and W. Orr. "Subjective and objective sleep quality in irritable bowel syndrome." Gastroenterology 114 (April 1998): A749. http://dx.doi.org/10.1016/s0016-5085(98)83066-7.

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29

Dziedzoave, N. T., W. O. Ellis, J. H. Oldham, and A. Osei-Yaw. "Subjective and objective assessment of `agbelima' (cassava dough) quality." Food Control 10, no. 2 (April 1999): 63–67. http://dx.doi.org/10.1016/s0956-7135(98)00153-4.

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30

Emiya, Valentin, Emmanuel Vincent, Niklas Harlander, and Volker Hohmann. "Subjective and Objective Quality Assessment of Audio Source Separation." IEEE Transactions on Audio, Speech, and Language Processing 19, no. 7 (September 2011): 2046–57. http://dx.doi.org/10.1109/tasl.2011.2109381.

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31

Kingsbury, Howard F. "Objective and subjective measures of noise quality in buildings." Journal of the Acoustical Society of America 87, S1 (May 1990): S133. http://dx.doi.org/10.1121/1.2027950.

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32

Seshadrinathan, Kalpana, Rajiv Soundararajan, Alan Conrad Bovik, and Lawrence K. Cormack. "Study of Subjective and Objective Quality Assessment of Video." IEEE Transactions on Image Processing 19, no. 6 (June 2010): 1427–41. http://dx.doi.org/10.1109/tip.2010.2042111.

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33

Zuo, Yan Yan, Shuai Li Zhou, and Wen Feng Zhou. "Subjective Analysis and Objective Evaluation of Vehicle Sound Quality." Advanced Materials Research 716 (July 2013): 674–79. http://dx.doi.org/10.4028/www.scientific.net/amr.716.674.

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The interior noise samples from four cars at different positions and different speeds were selected as the evaluation objects. The subjective evaluation test of sound quality preference was carried out with paired comparison method. Several objective psycho-acoustical parameters of these samples were calculated. By way of linear correlation and multi-dimensional regression analysis, an equation between the subjective evaluation of noise preference and the objective psycho-acoustical parameters was established. The results indicate that the vehicle interior sound quality preference under the good highway and the constant-velocity driving conditions is affected mainly by two psycho-acoustical parameters Loudness and Sharpness.

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34

Kosztyła-Hojna, Bożena, Anna Łobaczuk-Sitnik, Jolanta Biszewska, and Diana Moskal-Jasińska. "Subjective and objective assessment of voice quality in pregnancy." Otolaryngologia Polska 72, no. 6 (December 14, 2018): 1–5. http://dx.doi.org/10.5604/01.3001.0012.7856.

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During pregnancy, voice quality disorders may occur in form of: edema, dryness, nervousness. The aim of the study is subjective and objective evaluation of voice quality in pregnant women. The study included 20 women in the third trimester of pregnancy, age of 20-31 diagnosed at the Department of Clinical Phonoaudiology and Logopedics, Medical University of Bialystok. Subjective assessment has been based on the GRBAS scale. Objective assessment of the vocal organ used the HSDI technique (High Speed Digital Imaging). In the laryngeal visualization, high-speed camera (HS) using rigid endoscope with 90 ° optics has been used. Vibration of vocal folds has been recorded during phonation of vowel "e" at 4000 frames / sec. The glottal closure (GTs), symmetry, regularity and synchronization of vocal folds vibration have been assessed. In estimating the degree of glottal insufficiency, kymography of the larynx has been performed by analyzing the value of Open Quotient (OQ). Objective acoustic evaluation of voice has been also conducted using DiagnoScope Specjalista Program. Hoarseness has been observed in 15 pregnant women, whereas voice fatigability in 20 patients. Using HSDI, the edema of vocal folds in part of the group has been observed. Decreased MPT has been found in all examined women in the third trimester of pregnancy. Hoarseness and fatigability of voice are the most frequent subjective symptoms of voice organ in the third trimester of pregnancy. Decreased MPT is recorded objectively, as well as edema and insufficiency of vocal folds using HSDI technique.

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Hodgson, Murray. "Subjective and objective acoustical quality in healthcare office facilities." Journal of the Acoustical Society of America 141, no. 5 (May 2017): 3600. http://dx.doi.org/10.1121/1.4987699.

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36

Shahkolaei, Atena, Hossein Ziaei Nafchi, Somaya Al-Maadeed, and Mohamed Cheriet. "Subjective and objective quality assessment of degraded document images." Journal of Cultural Heritage 30 (March 2018): 199–209. http://dx.doi.org/10.1016/j.culher.2017.10.001.

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37

Good, Walter F., David Gur, John H. Feist, F. Leland Thaete, Carl R. Fuhrman, Cynthia A. Britton, and B. Simon Slasky. "Subjective and objective assessment of image quality—A comparison." Journal of Digital Imaging 7, no. 2 (May 1994): 77–78. http://dx.doi.org/10.1007/bf03168426.

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38

Stanojevic, Danilo, Boban Bondzulic, Boban Pavlovic, and Vladimir Petrovic. "The impact of quality of service parameters to the subjective and objective video quality assessment." Serbian Journal of Electrical Engineering 15, no. 1 (2018): 97–114. http://dx.doi.org/10.2298/sjee1801097s.

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This paper deals with the delay, delay variation - jitter, packet loss rate and bandwidth as quality of service parameters, in the form of four types of video quality degradations. The impact of defined levels of degradation on subjective impressions (given as mean opinion scores) is analyzed. ReTRiEVED video dataset with publicly available subjective scores is used in the analysis. Three full-reference measures are used for objective assessment of video quality. The degree of consistency of subjective and objective quality scores is shown through scatter plots and quantitative measures (linear correlation coefficient and correlation of the ranks). Based on the interpolation functions, quality of service parameters are mapped to subjective experience. We show that jitter is a much more destructive effect than other degradation types.

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39

Shi, Ran, Jing Ma, King Ngi Ngan, Jian Xiong, and Tong Qiao. "Objective Object Segmentation Visual Quality Evaluation: Quality Measure and Pooling Method." ACM Transactions on Multimedia Computing, Communications, and Applications 18, no. 3 (August 31, 2022): 1–19. http://dx.doi.org/10.1145/3491229.

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Objective object segmentation visual quality evaluation is an emergent member of the visual quality assessment family. It aims to develop an objective measure instead of a subjective survey to evaluate the object segmentation quality in agreement with human visual perception. It is an important benchmark for assessing and comparing the performances of object segmentation methods in terms of visual quality. Despite its essential role, sufficient study compared with other visual quality evaluation studies is still lacking. In this article, we propose a novel full-reference objective measure that includes a two-level single object segmentation visual quality measure and a pooling method for multiple object segmentation overall visual quality. The single object segmentation visual quality measure combines a pixel-level sub-measure and a region-level sub-measure for evaluating the similarity of area, shape, and object completeness between the segmentation result and the ground truth in terms of human visual perception. For the proposed multiple object segmentation overall visual quality pooling method, the rank of each object’s segmentation quality as a novel factor is integrated into the weighted harmonic mean to evaluate the overall quality. To evaluate the performance of our proposed measure, we tested it on an object segmentation subjective visual quality assessment database. The experimental results demonstrate that our proposed two-level measure and pooling method with good robustness perform better in matching subjective assessments compared with other state-of-the-art objective measures.

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40

Appina, Balasubramanyam, Sathya Veera Reddy Dendi, K. Manasa, Sumohana S. Channappayya, and Alan C. Bovik. "Study of Subjective Quality and Objective Blind Quality Prediction of Stereoscopic Videos." IEEE Transactions on Image Processing 28, no. 10 (October 2019): 5027–40. http://dx.doi.org/10.1109/tip.2019.2914950.

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41

Liao, Pei-shan, Daigee Shaw, and Yih-ming Lin. "Environmental Quality and Life Satisfaction: Subjective Versus Objective Measures of Air Quality." Social Indicators Research 124, no. 2 (October 30, 2014): 599–616. http://dx.doi.org/10.1007/s11205-014-0799-z.

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42

Gilski, Przemysław, and Jacek Stefański. "Subjective and Objective Comparative Study of DAB+ Broadcast System." Archives of Acoustics 42, no. 1 (March 1, 2017): 3–11. http://dx.doi.org/10.1515/aoa-2017-0001.

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Abstract Broadcasting services seek to optimize their use of bandwidth in order to maximize user’s quality of experience. They aim to transmit high-quality digital speech and music signals at the lowest bitrate. They intend to offer the best quality under available conditions. Due to bandwidth limitations, audio quality is in conflict with the number of transmitted radio programs. This paper analyzes whether the quality of real-time digital DAB+ broadcasted radio programs surpasses the quality offered by analog FM radio. We also perform a subjective and objective quality assessment comparative study of the HE-AAC v2 audio codec used in DAB+. The subjective studies were carried out using the MOS test methodology, whereas the objective tests were realized using the ViSQOLAudio metric. These studies were followed by a questionnaire concerning the migration from analog to digital radio domain.

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43

Moir, G. B. "An Investigation into Objective Measures of Gear-shift Quality." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 209, no. 4 (October 1995): 273–79. http://dx.doi.org/10.1243/pime_proc_1995_209_214_02.

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During any synchromesh development programme, reliable methods for evaluating and assessing the gear-shift quality are necessary. In order to overcome the reliance on a trained driver and associated subjective judgement, methods have been investigated to describe the gear-shift characteristics using objective, rather than subjective measures This paper describes the measurement and calculation of objective measures that relate to perceived shift quality. Examples are given on the use of these measures to evaluate the effect of production variability on shift quality, and to allow comparisons of shift quality to be made between competitive vehicles

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44

Halevy, A. H. "OBJECTIVE AND SUBJECTIVE PARAMETERS OF QUALITY EVALUATION OF CUT FLOWERS." Acta Horticulturae, no. 261 (December 1989): 227–32. http://dx.doi.org/10.17660/actahortic.1989.261.29.

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45

Vasilyev, Igor A. "Quality of school education: the subjective view on objective process." Sociological Journal, no. 4 (2013): 78–88. http://dx.doi.org/10.19181/socjour.2013.4.437.

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46

Madhusudana, Pavan C., Xiangxu Yu, Neil Birkbeck, Yilin Wang, Balu Adsumilli, and Alan C. Bovik. "Subjective and Objective Quality Assessment of High Frame Rate Videos." IEEE Access 9 (2021): 108069–82. http://dx.doi.org/10.1109/access.2021.3100462.

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47

Walsh, C., A. Dowling, A. Meade, and J. Malone. "Subjective and objective measures of image quality in digital fluoroscopy." Radiation Protection Dosimetry 117, no. 1-3 (December 1, 2005): 34–37. http://dx.doi.org/10.1093/rpd/nci708.

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48

Guo, Jinjiang, Vincent Vidal, Irene Cheng, Anup Basu, Atilla Baskurt, and Guillaume Lavoue. "Subjective and Objective Visual Quality Assessment of Textured 3D Meshes." ACM Transactions on Applied Perception 14, no. 2 (February 20, 2017): 1–20. http://dx.doi.org/10.1145/2996296.

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49

Ghadiyaram, Deepti, and Alan C. Bovik. "Massive Online Crowdsourced Study of Subjective and Objective Picture Quality." IEEE Transactions on Image Processing 25, no. 1 (January 2016): 372–87. http://dx.doi.org/10.1109/tip.2015.2500021.

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Wang, Shiqi, Ke Gu, Xiang Zhang, Weisi Lin, Li Zhang, Siwei Ma, and Wen Gao. "Subjective and Objective Quality Assessment of Compressed Screen Content Images." IEEE Journal on Emerging and Selected Topics in Circuits and Systems 6, no. 4 (December 2016): 532–43. http://dx.doi.org/10.1109/jetcas.2016.2598756.

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