Conferences related to Quality assessment

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE)

ICSE is the premier forum for researchers to present and discuss the most recent innovations,trends, outcomes, experiences, and challenges in the field of software engineering. The scopeis broad and includes all original and unpublished results of empirical, conceptual, experimental,and theoretical software engineering research.


IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

All fields of satellite, airborne and ground remote sensing.


2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


IECON 2020 - 46th Annual Conference of the IEEE Industrial Electronics Society

IECON is focusing on industrial and manufacturing theory and applications of electronics, controls, communications, instrumentation and computational intelligence.



Periodicals related to Quality assessment

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.



Most published Xplore authors for Quality assessment

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Xplore Articles related to Quality assessment

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Interactive demonstrations of the locally adaptive fusion for combining objective quality measures

2014 IEEE International Conference on Image Processing (ICIP), 2014

To automate quality monitoring of multimedia applications, objective quality measures for images and video content need to be designed. Objective quality measures that model the Human Visual System (HVS) have a disappointing performance, because the HVS is not sufficiently understood. Integrating machine learning (ML) techniques may increase the performance. Unfortunately, traditional ML is difficult to interpret. To this end, we ...


Understanding and simplifying the structural similarity metric

2008 15th IEEE International Conference on Image Processing, 2008

The structural similarity (SSIM) metric and its multi-scale extension (MS- SSIM) evaluate visual quality with a modified local measure of spatial correlation consisting of three components: mean, variance, and cross- correlation. This paper investigates how the SSIM components contribute to its quality evaluation of common image artifacts. The predictive performance of the individual components and pairwise component products is assessed ...


Quality assessment of on-line videos using metadata

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014

As video consumption becomes popular, demand for high quality of experience of consumed videos is also increasing. While online video sharing is a popular video application, quality assessment of videos in such an application is challenging due to lack of reference videos and simultaneous involvement of diverse quality factors. In this paper, we take advantage of additional information of online ...


Detecting Outliers in the Estimator Bank-Based Direction Finding Techniques using the Likelihood Ratio Quality Assessment

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007

Estimator bank-based direction finding techniques make use of a number of parallel randomly weighted MUSIC direction-of-arrival (DOA) estimates and obtain the final estimate by keeping only the "successful" candidates while sorting out the outlying estimates. In this paper, we develop a powerful approach to detect the outliers in the estimator bank-based direction finders using the likelihood ratio quality assessment. Computer ...


The development and correlation of objective and subjective video quality measures

[1991] IEEE Pacific Rim Conference on Communications, Computers and Signal Processing Conference Proceedings, 1991

The authors describe a method for deriving objective measurements of video quality that agree with the human perception of video quality. The development process presented is based on three components. First, a wide-ranging library of video screens is digitized and processed. The second component involves the collection of viewer quality ratings for this same video library. This results in a ...



Educational Resources on Quality assessment

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IEEE.tv Videos

2011 IEEE Medal for Innovations in Healthcare Technology - Harrison H. Barrett
Part 1: Derek Footer and Miku Jah - Agricultural Food Systems Panel - TTM 2018
Conformity Assessment: A Process - Rudi Schubert, IEEE Standards Association
OJ-EMB: Rapid, quality publication - Nigel Lovell
Conformity Assessment: The Perspective of Product Designers - Gordon Gillerman, Director, Standards Coordination Office, NIST
The Value of Conformity Assessment for Different Players - Yatin Trivedi, Aricent Inc.
Generation of Models for Wireless Sensor Network Assessment
Standards Education: Strategic Standardization (English)
Mads Nielsen - COVID-19, Deep Learning and Biomedical Imaging Panel
P2020 Establishing Image Quality Standards for Automotive
Brooklyn 5G - 2015 - Chris Collins - Safety, Exposure Assessment and Dosimetry from RF to mmWave
CPIQ Update and the Case for Image Quality Standards in Automotive
Surgical Robotics: Automated assessment and teaching of surgical skill
Brooklyn 5G Summit: Safety, exposure assessment and dosimetry from RF to mmWave
Radiated Performance Assessment of Wireless Communications Devices - An Operator's Perspective
GHTC 2012 - Improving Access to Quality Care Panel
GEOSS Forest Fire Awareness and Assessment
Standards Education: Strategic Standardization (with Chinese subtitles)
Building Technical Communities Through Entrepreneurship Activities in India - Amit Kumar - Ignite: Sections Congress 2017
Open Source Software: Opportunities for Social Innovation from Around the World

IEEE-USA E-Books

  • Interactive demonstrations of the locally adaptive fusion for combining objective quality measures

    To automate quality monitoring of multimedia applications, objective quality measures for images and video content need to be designed. Objective quality measures that model the Human Visual System (HVS) have a disappointing performance, because the HVS is not sufficiently understood. Integrating machine learning (ML) techniques may increase the performance. Unfortunately, traditional ML is difficult to interpret. To this end, we developed the Locally Adaptive Fusion (LAF), for more flexible and reliable quality predictions. This manuscript proposes six interactive programs and a website that demonstrate the effectiveness of LAF, which complement the technical focus of the corresponding journal paper.

  • Understanding and simplifying the structural similarity metric

    The structural similarity (SSIM) metric and its multi-scale extension (MS- SSIM) evaluate visual quality with a modified local measure of spatial correlation consisting of three components: mean, variance, and cross- correlation. This paper investigates how the SSIM components contribute to its quality evaluation of common image artifacts. The predictive performance of the individual components and pairwise component products is assessed using the LIVE image database. After a nonlinear mapping, the product of the variance and cross- correlation components yields nearly identical linear correlation with subjective ratings as the complete SSIM and MS- SSIM computations. A computationally simple alternative to SSIM (c.f Eq. (6)) that ignores the mean component and sets the local average patch values to 128 exhibits a 1% decrease in linear correlation with subjective ratings to 0.934 from the complete SSIM evaluation with an over 20% reduction in the number of multiplications.

  • Quality assessment of on-line videos using metadata

    As video consumption becomes popular, demand for high quality of experience of consumed videos is also increasing. While online video sharing is a popular video application, quality assessment of videos in such an application is challenging due to lack of reference videos and simultaneous involvement of diverse quality factors. In this paper, we take advantage of additional information of online videos, i.e., metadata, and explore the extent to which video quality can be estimated from metadata. Subjective quality assessment using crowdsourcing is conducted, based on which metadata-based quality models are constructed. It is shown that the estimated quality scores show fairly high correlation with the subjective quality.

  • Detecting Outliers in the Estimator Bank-Based Direction Finding Techniques using the Likelihood Ratio Quality Assessment

    Estimator bank-based direction finding techniques make use of a number of parallel randomly weighted MUSIC direction-of-arrival (DOA) estimates and obtain the final estimate by keeping only the "successful" candidates while sorting out the outlying estimates. In this paper, we develop a powerful approach to detect the outliers in the estimator bank-based direction finders using the likelihood ratio quality assessment. Computer simulations show substantial improvements of the proposed approach as compared to the earlier techniques used to sort out the outliers in the estimator bank-based direction finding methods.

  • The development and correlation of objective and subjective video quality measures

    The authors describe a method for deriving objective measurements of video quality that agree with the human perception of video quality. The development process presented is based on three components. First, a wide-ranging library of video screens is digitized and processed. The second component involves the collection of viewer quality ratings for this same video library. This results in a set of subjective data. The final component of the process is a simultaneous statistical analysis of the subjective and objective data sets. The authors focus on the second component of the process. The facility used to gather viewer quality ratings, the Institute for Telecommunication Sciences (ITS) video viewing laboratory, is described. The test methodology is presented, along with a discussion of the selection of video scenes for the tests. Plans for the integration of subjective and objective data sets are considered.<<ETX>>

  • No-Reference PSNR Identification of MPEG Video Using Spectral Regression and Reduced Model Polynomial Networks

    This letter proposes a no-reference MacroBlock (MB) level PSNR identification of compressed MPEG video. Features are extracted on MB basis from video bitstreams and reconstructed images. The identification problem is formalized using reduced model polynomial networks. The letter proposes a two-step identification solution in which supervised spectral regression is used to reduce the dimensionality of the feature vector prior to model estimation. Two identification scenarios are presented in the experimental results, namely, video sequence dependent and video sequence independent identification. Based on the various video sequences used in the experiments, it is shown that the average mean absolute difference between the actual and the identified PSNRs is 1 dB and 1.6 dB for the sequence dependent and sequence independent identification respectively.

  • Blind quality assessment for JPEG2000 compressed images

    Measurement of image quality is crucial for many image-processing algorithms, such as acquisition, compression, restoration, enhancement and reproduction. Traditionally, image quality assessment algorithms have focused on measuring image fidelity, where quality is measured as fidelity with respect to a 'reference' or 'perfect' image. The field of blind quality assessment has been largely unexplored. In this paper we present an algorithm for blindly determining the quality of JPEG2000 compressed images. Our algorithm assigns quality scores that are in good agreement with human evaluations. Our algorithm utilizes a statistical model for wavelet coefficients and computes features that exploit the fact that quantization produces more zero coefficients than expected for natural images. The algorithm is trained and tested on data obtained from human observers, and performs close to the limit on useful prediction imposed by the variability between human subjects.

  • The Application of Extension Engineering Method in Water Environmental Quality Evaluation

    The water environmental quality assessment is the most important content in the environmental quality evaluation. And the environmental quality assessment depends on the scientific assessment methods. The extension method is a new method which resolves the contradictory problem in the real world from two angles of the qualitative and quantitative. The paper introduces emphatically the application of the assessment of extension engineering method in the water environment and carries on the comparison with fuzzy assessment method which is the most widespread and whose appraisal effect is very well. The result indicates that the extension engineering method has a very good prospect for development with its unique thought model - matter-element model in the environmental quality evaluation.

  • DEPTH PERCEPTION PREDICTION OF 3D VIDEO FOR ENSURING ADVANCED MULTIMEDIA SERVICES

    A key role in the advancement of 3 Dimensional TV services is played by the development of 3D video quality metrics used for the assessment of the perceived quality. Moreover, this key role can only be supported when the features associated with the 3D video nature is reliably and efficiently characterized in these metrics. In this study, z-direction motion incorporated with significant depth levels in depth map sequences are considered as the main characterizations of the 3D nature. The 3D video quality metrics can be classified into three categories based on the need for the reference video during the assessment process at the user end: Full Reference (FR), Reduced Reference (RR) and No Reference (NR). In this study we propose a NR quality metric, PNRM, suitable for on-the-fly 3D video services. In order to evaluate the reliability and effectiveness of the proposed metric, subjective experiments are conducted in this paper. Observing the high correlation with the subjective experimental results, it can be clearly stated that the proposed metric is able to mimic the Human Visual System (HVS).

  • A multi-purpose objective quality metric for image watermarking

    Knowing that the watermarking community use simple statistical quality metrics in order to evaluate the watermarked image quality, the authors have recently proposed a simplified objective quality metric (OQM), called “CPA”, for watermarking applications. The metric used the contrast sensitivity function, along with an adapted error pooling, and proved to perform better than state- of-the-art OQMs. In this work, we intend to improve the performance of the CPA metric. The new metric includes the most important steps of Human Visual System (HVS) based quality metric, namely spatial frequency consideration and masking effects. Besides, this work goes further than classical image quality assessment, and several objective quality metrics will be tested in a watermarking algorithm comparison scenario. We will show that the proposed metric is both able to accurately predict the observers score in a quality assessment task, and is also able to compare watermarking algorithms altogether on a perceptual quality viewpoint.



Standards related to Quality assessment

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IEEE Recommended Practice on Software Reliability

Software reliability (SR) models have been evaluated and ranked for their applicability to various situations. Many improvements have been made in SR modeling and prediction since 1992. This revised recommended practice reflects those advances in SR since 1992, including modeling and prediction for distributed and network systems. Situation specific usage guidance was refined and updated. The methodologies and tools included ...


IEEE Standard for Broadband over Power Line Networks: Medium Access Control and Physical Layer Specifications

The project defines a standard for high-speed (>100 Mbps at the physical layer) communication devices via electric power lines, so-called broadband over power line (BPL) devices. This standard uses transmission frequencies below 100 MHz. It is usable by all classes of BPL devices, including BPL devices used for the first-mile/last-mile connection (<1500 m to the premise) to broadband services as ...


Systems and software engineering -- Software life cycle processes

This International Standard establishes a common framework for software life cycle processes, with welldefined terminology, that can be referenced by the software industry. It contains processes, activities, and tasks that are to be applied during the acquisition of a software product or service and during the supply, development, operation, maintenance and disposal of software products. Software includes the software portion ...