Academic literature on the topic 'Video Quality Measures' Disagreement'

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Journal articles on the topic "Video Quality Measures' Disagreement"

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Nguyen, Geoffrey, Jamie Palmer, Emilie Ludeman, Moran R. Levin, Ramya Swamy, and Janet Alexander. "Evaluating the Efficacy of Microsurgical Training Methods in Ophthalmology Education: A Systematic Review and Meta-analysis." Journal of Academic Ophthalmology 13, no. 02 (July 2021): e216-e227. http://dx.doi.org/10.1055/s-0041-1740066.

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Abstract Objective The objective of our paper is to review all of the relevant literature in ophthalmology microsurgical education and identify which teaching methodologies were most effective. Methods A systematic review and meta-analysis of the literature was conducted. Electronic databases, including Ovid MEDLINE, Cochrane CENTRAL, and EMBASE, were searched with preset terms. The search was through December 11, 2019. Eligibility criteria included studies with sufficient data for analyzing associations between surgical teaching techniques and success rates in surgical skills and the organization of the intervention as a microsurgical skills course, curriculum, or program. The articles were independently reviewed by two authors. Each included study was evaluated for quality using the Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) approach and risk of bias using the Cochrane Collaboration's tool for assessing bias. Data Extraction and Synthesis Data extraction was performed by two reviewers and disagreements were checked by a third reviewer. A random-effects analysis was used to pool the outcomes of studies. Main Outcomes and Measures Outcomes included time for completion of surgical task, level of preparedness, competency score, and number of surgeries with complications. Results A total of 439 studies were reviewed and 13 studies (n = 8,790 surgical cases; n = 115 trainees) were included in the meta-analysis. Excluded articles studied cataract simulation training as the primary intervention or were not related to ophthalmology. All pooled results demonstrated a positive association with surgical outcomes; however, video-based education (standardized mean difference [SMD] = 2.49 [95% confidence interval (CI): 0.36–4.63]; four effects [four studies]; n = 69; I 2 = 90%) and stepwise teaching method (odds ratio [OR = 3.84 [95% CI: 2.66–5.55]; six effects [six studies]; n = 6,968; I 2 = 39%) interventions were the most favorable. Conclusion and Relevance The following five interventions evaluated in this paper were found to be effective methods of improving performance outcomes in ophthalmic microsurgery: (1) didactic lectures, (2) video-based education, (3) surgical wet-laboratory, (4) stepwise method, and (5) direct supervision and feedback. Our meta-analysis concludes that video-based education and stepwise teaching interventions are the most effective methods for a microsurgical ophthalmology training curriculum. Combining the strengths of the interventions analyzed in this study should be considered when implementing and adjusting ophthalmic surgical skills curriculums.
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Cermak, G. W., S. Wolf, E. P. Tweedy, M. H. Pinson, and A. A. Webster. "Validating Objective Measures of MPEG Video Quality." SMPTE Journal 107, no. 4 (April 1998): 226–35. http://dx.doi.org/10.5594/j06401.

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Tiotsop, Lohic Fotio, Florence Agboma, Glenn Van Wallendael, Ahmed Aldahdooh, Sebastian Bosse, Lucjan Janowski, Marcus Barkowsky, and Enrico Masala. "On the Link Between Subjective Score Prediction and Disagreement of Video Quality Metrics." IEEE Access 9 (2021): 152923–37. http://dx.doi.org/10.1109/access.2021.3127395.

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Dumic, Emil, Sonja Grgic, and Mislav Grgic. "Comparison of HDTV formats using objective video quality measures." Multimedia Tools and Applications 49, no. 3 (January 29, 2010): 409–24. http://dx.doi.org/10.1007/s11042-009-0441-2.

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Charles, Pajarita, Jill Spielfogel, Deborah Gorman-Smith, Michael Schoeny, David Henry, and Patrick Tolan. "Disagreement in Parental Reports of Father Involvement." Journal of Family Issues 39, no. 2 (April 20, 2016): 328–51. http://dx.doi.org/10.1177/0192513x16644639.

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Despite agreement on the value of father involvement in children’s lives, research has been limited due to the exclusion of fathers in studies, questionable validity of mothers’ reports on father involvement, and simple measures of fathering behavior. Our study extends previous research by comparing reports of father involvement using robust, multidimensional father involvement measures. Data from 113 fathers and 126 mothers reporting on 221 children were used to assess father involvement. Results indicate that fathers reported significantly higher levels of involvement than mothers reported. Findings from hierarchical linear models suggest that race/ethnicity and mothers’ reports of positive relationship quality were associated with smaller discrepancies in reports of father involvement, whereas nonmarried partnerships, older children, father residence, and biological status predicted larger discrepancies. Our study demonstrates the importance of obtaining father involvement reports directly from fathers and why father involvement should be assessed as a multidimensional construct to examine fathering behavior.
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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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Nasrollahi, K., and T. B. Moeslund. "Complete face logs for video sequences using face quality measures." IET Signal Processing 3, no. 4 (2009): 289. http://dx.doi.org/10.1049/iet-spr.2008.0172.

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Abdel-Meguid, Ahmed M., Guy D. Fernando, Richard A. Schneible, and SangHyun Suh. "Differential Interpretations and Earnings Quality." Accounting Horizons 33, no. 2 (May 1, 2019): 59–73. http://dx.doi.org/10.2308/acch-52435.

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SYNOPSIS We investigate the association between earnings quality and investor disagreement regarding the valuation consequences of earnings announcements. A primary purpose of financial reporting, including periodic earnings releases, is to convey useful information to investors. However, earnings may be of low quality due to an inherent failure in the accounting process to accurately represent the economic entity, unintentional errors, or intentional manipulation on the part of management. We argue that low-quality earnings will be associated with more divergent opinions regarding the implication of the earnings signal (i.e., differential interpretations) and, thus, be reflected in their trading activity. We use two abnormal accrual measures and an earnings persistence measure as proxies for earnings quality. We proxy for differential interpretations using abnormal trading volume unrelated to returns and analyst forecast jumbling. Our results show that low earnings quality is associated with more differential interpretations of earnings announcements measures.
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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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Jiang, Jack, Emily Lin, and David G. Hanson. "Effect of Tape Recording on Perturbation Measures." Journal of Speech, Language, and Hearing Research 41, no. 5 (October 1998): 1031–41. http://dx.doi.org/10.1044/jslhr.4105.1031.

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Tape recorders have been shown to affect measures of voice perturbation. Few studies, however, have been conducted to quantitatively justify the use or exclusion of certain types of recorders in voice perturbation studies. This study used sinusoidal and triangular waves and synthesized vowels to compare perturbation measures extracted from directly digitized signals with those recorded and played back through various tape recorders, including 3 models of digital audio tape recorders, 2 models of analog audio cassette tape recorders, and 2 models of video tape recorders. Signal contamination for frequency perturbation values was found to be consistently minimal with digital recorders (percent jitter=0.01%–0.02%), mildly increased with video recorders (0.05%–0.10%), moderately increased with a high-quality analog audio cassette tape recorder (0.15%), and most prominent with a low-quality analog audio cassette tape recorder (0.24%). Recorder effect on amplitude perturbation measures was lowest in digital recorders (percent shimmer = 0.09%–0.20%), mildly to moderately increased in video recorders and a high-quality analog audio cassette tape recorder (0.25%–0.45%), and most prominent in a low-quality analog audio cassette tape recorder (0.98%). The effect of cassette tape material, length of spooled tape, and duration of analysis were also tested and are discussed.
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Dissertations / Theses on the topic "Video Quality Measures' Disagreement"

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FOTIO, TIOTSOP LOHIC. "Optimizing Perceptual Quality Prediction Models for Multimedia Processing Systems." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2970982.

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Černoch, Adam. "Vybrané způsoby zlepšení orientace řidiče v dopravním prostoru." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2014. http://www.nusl.cz/ntk/nusl-233053.

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The aim of this thesis is to find suitable measures which will lead to the improvement of driver orientation in traffic spaceleading to lower the accident rate in the area. The theoretical part describes the traffic surveys that relate to the topic. Furthermore, the work mentioned detectors used for the implementation of automated traffic surveys. The theoretical part also describes methods that can be used to analyze the selected location and then design the ideal modification. At the end gives an overview of the various measures. In the practical part are different methodologies used for the analysis of selected intersections. Firstly, the analysis of observed conflict situations, including making conflicting diagram, under which was designed to measure. Then, the analysis of traffic accidents. Again, the result was a proposal for possible actions. The main objective was to compare and appreciation of both methodologies and proces design measures to improve driver orientation in the selected location.
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GrigoryKuritsyn and 柯高瑞. "Service Quality in Video Surveillance-as-a-Service: Developing Measures and Analyzing Its Function in Continuance Usage Intention." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/91460510252474392991.

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碩士
國立成功大學
國際經營管理研究所碩士在職專班
102
Video surveillance is one of the most important components of the complete security solution. With the development of the Internet and technologies this important piece of safety is available for average customers not only locally, but also remotely with the help of cloud computing technologies. In the scientific works there are no studies that cover this topic so far. This research aims to find the major factors that will affect customers’ perception of the service quality, and reasons that will drive customers to keep using the service. As it was found, trust can play an important role in identifying the continuance intention to use services; and the seven major factors of VSaaS quality (rapport, reliability, responsiveness, flexibility, features, security, and privacy) would be the major players in defining quality, and hence perceived usefulness and continuous intention to use the services.
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Books on the topic "Video Quality Measures' Disagreement"

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L, Warholak Terri, and Nau David P, eds. Quality and safety in pharmacy practice. New York: McGraw-Hill, 2010.

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Cohen, Marcy. Playing with our health: Hazards in the automated office. Vancouver: Women's Skill Development Society, 1986.

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Montana. Legislature. Office of the Legislative Auditor. Performance audit report: Regulation and monitoring of video gambling machines, Department of Justice, Gambling Control Division. Helena, Mont: The Office, 1994.

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Montana. Legislature. Office of the Legislative Auditor. Performance audit report: Air quality program, Department of Health and Environmental Sciences. Helena, Mont: The Office, 1994.

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Montana. Legislature. Office of the Legislative Auditor. Performance audit report: Enforcement of the water quality and the public water supply acts. Helena, Mont: The Office, 1994.

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Auditor, Montana Legislature Office of the Legislative. Performance audit report: Controls over use of state telephones. Helena, Mont: The Office, 1986.

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Auditor, Montana Legislature Office of the Legislative. Performance audit report: Automated system development and maintenance, Department of Administration, Department of Social and Rehabilitation Services, Department of Labor and Industry. Helena, Mont: The Office, 1993.

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Montana. Legislature. Office of the Legislative Auditor. Performance audit report: Space utilization and records management, Helena-located state agencies. Helena, Mont. (Room 135, State Capitol 59620): The Office, 1989.

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Montana. Legislature. Office of the Legislative Auditor. Performance audit report: Treasury Bureau, Department of Administration. Helena (Rm. 135, State Capitol, Helena 59620): Office of the Legislative Auditor, 1989.

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Montana. Legislature. Office of the Legislative Auditor. Performance audit report: Foster care facility licensing and other related issues, Department of Family Services. Helena, Mont: The Office, 1993.

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Book chapters on the topic "Video Quality Measures' Disagreement"

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Kralj Novak, Petra, Teresa Scantamburlo, Andraž Pelicon, Matteo Cinelli, Igor Mozetič, and Fabiana Zollo. "Handling Disagreement in Hate Speech Modelling." In Information Processing and Management of Uncertainty in Knowledge-Based Systems, 681–95. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08974-9_54.

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AbstractHate speech annotation for training machine learning models is an inherently ambiguous and subjective task. In this paper, we adopt a perspectivist approach to data annotation, model training and evaluation for hate speech classification. We first focus on the annotation process and argue that it drastically influences the final data quality. We then present three large hate speech datasets that incorporate annotator disagreement and use them to train and evaluate machine learning models. As the main point, we propose to evaluate machine learning models through the lens of disagreement by applying proper performance measures to evaluate both annotators’ agreement and models’ quality. We further argue that annotator agreement poses intrinsic limits to the performance achievable by models. When comparing models and annotators, we observed that they achieve consistent levels of agreement across datasets. We reflect upon our results and propose some methodological and ethical considerations that can stimulate the ongoing discussion on hate speech modelling and classification with disagreement.
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Alhaisoni, Majed, Mohammed Ghanbari, and Antonio Liotta. "Scalable P2P Video Streaming." In Next Generation Data Communication Technologies, 249–65. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-61350-477-2.ch011.

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P2P networks are a technology able to deliver real time and video-on-demand services over IP networks. Layered video coding techniques are being introduced due to their ability to deliver streams at different scales (temporal, spatial and SNR) that solve the heterogeneity problem. This eases transmission in the case of limited bandwidth, as the devices can pick and decode the minimum bit rate base layer. Existing work examines layered video in client-server scenarios. In contrast, this paper analyzes scalable coding H.264/SVC over P2P networks based on an SNR-temporal Codec. Due to the interdependency between the different SVC layers, issues of reliability and quality of experience arise unless proper measures are taken to protect the base layer. The authors explore the effectiveness of a combination of P2P strategies, for example, hybrid P2P architecture, P2P locality, and P2P redundancy, to assess the viability and benefits of scalable video coding over P2P. The resulting performance is compared with a state-of-the-art P2P TV platform.
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Singh, Dharm, and Lal Chand Bishnoi. "A Framework for Evaluation of Video Quality of Service in Wireless Networks." In Advances in Wireless Technologies and Telecommunication, 1–29. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2342-0.ch001.

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Today's IEEE 802.11n WLAN are capable of delivering the essential bandwidth for video by using MPEG-4 or H.264 codec compression. However, 802.11n devices are popular for delivering wireless video transmission. Even though there are some challenges for these devices specifically severe network congestion that degrade the quality of video transmission. For assessing the video transmission quality during a simulation on 802.11n WLAN technology, we extended a framework and toolset (802.11nMyEvalVid) which can be used to measures the QoS constraints in wireless networks, such as throughput, delays, and end-to-end delay. However, it also supports PSNR, which is a received video quality measuring technique based on a comparison of frame-by-frame. This chapter focused on a framework 802.11nMyEvalVid that can be used for research and evaluating new techniques for MAC-layer optimizations for simulating MPEG-4, H.264/AVC and H.264/SVC video over 802.11n WLAN in a more efficient and reliable way.
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Akella, Nirupama R. "At the Mercy of Facebook." In Socio-Cultural Influences on Teenage Pregnancy and Contemporary Prevention Measures, 129–49. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-6108-8.ch008.

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This chapter is a meta-analysis of teen brain research and social media technology such as Facebook that could result in spiraling rates of teenage pregnancy. The author discusses contemporary theories of brain circuitry including teen brain structure and function as one of the plausible reasons for rising teenage pregnancy rates. The author argues that the challenge is to control the quality and influence of Facebook on teen behaviors, actions, and decisions to minimize the growing influence of social networking sites. In the conclusive section of the chapter, the author focuses on the expansion and extension of instructional and non-instructional physical activities, exergames, and active video games strategies to control the quality and influence of Facebook content by presenting research that advocates use of such activities and games within the Facebook interface. The author ends the chapter by mapping a future research direction of cross-cultural empirical investigation. The author wraps the chapter with a summative conclusion.
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Sankisa, Arun, Katerina Pandremmenou, Peshala V. Pahalawatta, Lisimachos P. Kondi, and Aggelos K. Katsaggelos. "SSIM-Based Distortion Estimation for Optimized Video Transmission over Inherently Noisy Channels." In Biometrics, 690–709. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0983-7.ch028.

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The authors present two methods for examining video quality using the Structural Similarity (SSIM) index: Iterative Distortion Estimate (IDE) and Cumulative Distortion using SSIM (CDSSIM). In the first method, three types of slices are iteratively reconstructed frame-by-frame for three different combinations of packet loss and the resulting distortions are combined using their probabilities to give the total expected distortion. In the second method, a cumulative measure of the overall distortion is computed by summing the inter-frame propagation impact to all frames affected by a slice loss. Furthermore, the authors develop a No-Reference (NR) sparse regression framework for predicting the CDSSIM metric to circumvent the real-time computational complexity in streaming video applications. The two methods are evaluated in resource allocation and packet prioritization schemes and experimental results show improved performance and better end-user quality. The accuracy of the predicted CDSSIM values is studied using standard performance measures and a Quartile-Based Prioritization (QBP) scheme.
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Mashtalir, Sergii, and Olena Mikhnova. "Detecting Significant Changes in Image Sequences." In Handbook of Research on Machine Learning Innovations and Trends, 379–408. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2229-4.ch017.

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In this chapter the authors propose an overview on contemporary artificial intelligence techniques designed for change detection in image and video sequences. A variety of image features have been analyzed for content presentation at a low level. In attempt towards high-level interpretation by a machine, a novel approach to image comparison has been proposed and described in detail. It utilizes techniques of salient point detection, video scene identification, spatial image segmentation, feature extraction and analysis. Metrics implemented for image partition matching enhance performance and quality of the results, which has been proved by several estimations. The review on estimation measures is also given along with references to publicly available test datasets. Conclusion is provided in relation to trends of future development in image and video processing.
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Mashtalir, Sergii, and Olena Mikhnova. "Detecting Significant Changes in Image Sequences." In Computer Vision, 80–109. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5204-8.ch004.

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In this chapter the authors propose an overview on contemporary artificial intelligence techniques designed for change detection in image and video sequences. A variety of image features have been analyzed for content presentation at a low level. In attempt towards high-level interpretation by a machine, a novel approach to image comparison has been proposed and described in detail. It utilizes techniques of salient point detection, video scene identification, spatial image segmentation, feature extraction and analysis. Metrics implemented for image partition matching enhance performance and quality of the results, which has been proved by several estimations. The review on estimation measures is also given along with references to publicly available test datasets. Conclusion is provided in relation to trends of future development in image and video processing.
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Bouarara, Hadj Ahmed, Reda Mohamed Hamou, and Abdelmalek Amine. "New Swarm Intelligence Technique of Artificial Social Cockroaches for Suspicious Person Detection Using N-Gram Pixel With Visual Result Mining." In National Security, 545–70. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7912-0.ch027.

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In the last decade, surveillance camera technology has become widely practiced in public and private places to ensure the safety of individuals. Merely, face to limits of violation the private life of people and the inability to identify malicious persons that hid their faces, finding a new policy of surveillance video has become compulsory. The authors' work deals on the development of a suspicious person detection system using a new insect behaviour algorithm called artificial social cockroaches ASC based on a new image representation method (n-gram pixel). It has as input a set of artificial cockroaches (human images) to classify them (hide) into shelters (classes) suspicious or normal depending on a set of aggregation rules (shelter darkness, congener's attraction and security quality). Their experiments were performed on a modified MuHAVi dataset and using the validation measures (recall, precision, f-measure, entropy and accuracy), in order to show the benefit derived from using such approach compared to the result of classical algorithms (KNN and C4.5). Finally, a visualisation step was achieved to see the results in graphical form with more realism for the purpose to help policeman, security associations and justice in their investigation.
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Bouarara, Hadj Ahmed, Reda Mohamed Hamou, and Abdelmalek Amine. "New Swarm Intelligence Technique of Artificial Social Cockroaches for Suspicious Person Detection Using N-Gram Pixel With Visual Result Mining." In Censorship, Surveillance, and Privacy, 830–56. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7113-1.ch043.

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In the last decade, surveillance camera technology has become widely practiced in public and private places to ensure the safety of individuals. Merely, face to limits of violation the private life of people and the inability to identify malicious persons that hid their faces, finding a new policy of surveillance video has become compulsory. The authors' work deals on the development of a suspicious person detection system using a new insect behaviour algorithm called artificial social cockroaches ASC based on a new image representation method (n-gram pixel). It has as input a set of artificial cockroaches (human images) to classify them (hide) into shelters (classes) suspicious or normal depending on a set of aggregation rules (shelter darkness, congener's attraction and security quality). Their experiments were performed on a modified MuHAVi dataset and using the validation measures (recall, precision, f-measure, entropy and accuracy), in order to show the benefit derived from using such approach compared to the result of classical algorithms (KNN and C4.5). Finally, a visualisation step was achieved to see the results in graphical form with more realism for the purpose to help policeman, security associations and justice in their investigation.
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Conference papers on the topic "Video Quality Measures' Disagreement"

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Lee, Yooyoung, P. Jonathon Phillips, James J. Filliben, J. Ross Beveridge, and Hao Zhang. "Generalizing face quality and factor measures to video." In 2014 IEEE International Joint Conference on Biometrics (IJCB). IEEE, 2014. http://dx.doi.org/10.1109/btas.2014.6996251.

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Mele, Maria, Damon Millar, and Christiaan Rijnders. "Explicit and Implicit Measures in Video Quality Assessment." In 3rd International Conference on Human Computer Interaction Theory and Applications. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007396100380049.

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Zuo, Jinyu, and Natalia A. Schmid. "Global and local quality measures for NIR iris video." In 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2009. http://dx.doi.org/10.1109/cvprw.2009.5204310.

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Gao, Chen, Karen Panetta, and Sos Agaian. "Coefficients training methods for image and video quality measures." In 2015 IEEE International Conference on Imaging Systems and Techniques (IST). IEEE, 2015. http://dx.doi.org/10.1109/ist.2015.7294562.

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Tiotsop, Lohic Fotio, Antonio Servetti, and Enrico Masala. "Full Reference Video Quality Measures Improvement Using Neural Networks." In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. http://dx.doi.org/10.1109/icassp40776.2020.9053739.

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Jinyu Zuo and N. A. Schmid. "Global and local quality measures for NIR iris video." In 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR Workshops). IEEE, 2009. http://dx.doi.org/10.1109/cvpr.2009.5204310.

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Martinez, Jose, Pedro Cuenca, Francisco Delicado, and Luis Orozco-Barbosa. "On the Capabilities of Quality Measures in Video Compresion Standards." In 2006 Canadian Conference on Electrical and Computer Engineering. IEEE, 2006. http://dx.doi.org/10.1109/ccece.2006.277833.

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Dumic, Emil, Mario Mustra, and Sonja Grgic. "Comparison of Dirac and H.264/AVC Coding Quality Using Objective Video Quality Measures." In 2009 16th International Conference on Systems, Signals and Image Processing. IEEE, 2009. http://dx.doi.org/10.1109/iwssip.2009.5367783.

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Aldahdooh, Ahmed, Enrico Masala, Olivier Janssens, Glenn Van Wallendael, and Marcus Barkowsky. "Comparing simple video quality measures for loss-impaired video sequences on a large-scale database." In 2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX). IEEE, 2016. http://dx.doi.org/10.1109/qomex.2016.7498941.

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Barkowsky, Marcus, Björn Eskofier, Roland Bitto, Jens Bialkowski, and André Kaup. "Perceptually motivated spatial and temporal integration of pixel based video quality measures." In Welcome to Mobile Content Quality of Experience. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1577504.1577508.

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Reports on the topic "Video Quality Measures' Disagreement"

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Lee, Yooyoung, P. Jonathon Phillips, James J. Filliben, J. Ross Beveridge, and Hao Zhang. Identifying face quality and factor measures for video. National Institute of Standards and Technology, May 2014. http://dx.doi.org/10.6028/nist.ir.8004.

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Luo, Jing, Chen Zhang, Xiaoping Wu, and Rongrong Ren. The effect of acupoint catgut embedding and drug therapy on hyperlipidemia: a meta-analysis of randomized controlled trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2022. http://dx.doi.org/10.37766/inplasy2022.2.0019.

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Abstract:
Review question / Objective: Acupoint catgut embedding and drug treatment of hyperlipidemia compared, which is better. Condition being studied: Hyperlipidemia. Information sources: Two authors (JL and CZ) will examine the publications independently and extract data according to predefined criteria. RCTs will be assessed for the methodology, study design, inclusion and exclusion criteria, and outcome measures. The methodological quality of each RCT will be recorded for method of randomization, blinding, protocol violation, and allocation concealment Any disagreement will be resolved by consensus discussions with the senior member of the review team (XP W). Data to collect includes intervention and control measures, measured outcomes and statistical significant difference with regards to chewing gum.
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3

Luo, Jing, Chen Zhang, Mengjie Xia, and Yuelian Chen. Acupoint catgut embedding reduces postoperative pain of mixed hemorrhoids: a meta-analysis of randomized controlled trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2022. http://dx.doi.org/10.37766/inplasy2022.2.0021.

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Abstract:
Review question / Objective: Can acupoint catgut embedding alleviate postoperative pain of mixed hemorrhoids? Condition being studied: Mixed hemorrhoids. Information sources: Two authors (JL and CZ) will examine the publications independently and extract data according to predefined criteria. RCTs will be assessed for the methodology, study design, inclusion and exclusion criteria, and outcome measures. The methodological quality of each RCT will be recorded for method of randomization, blinding, protocol violation, and allocation concealment Any disagreement will be resolved by consensus discussions with the senior member of the review team (MJX and YLC). Data to collect includes intervention and control measures, measured outcomes and statistical significant difference with regards to chewing gum.
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