[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-82757-en":3,"doc-seo-82757-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":13,"seo_description":14,"update_tm":28,"read_time":29},82757,549758252649,"Ivy","https://ap-avatar.wpscdn.com/avatar/8000253669c5317157?_k=1778319167496531819",8,"Research & Report","Towards Standardized Light Field Quality Assessment Hybrid Subjective Benchmarking and Objective Metric Evaluation","Benchmarking immersive media coding solutions in standardization requires subjective quality assessment that is reliable, reproducible, and comparable, together with objective metrics that stay accurate under diverse distortion types. The work proposes a standardized light-field QA workflow built for JPEG Pleno standardization, integrating benchmark generation, a hybrid subjective evaluation, and objective metric analysis. It supports coding-only and view-synthesis pipeline distortions, combining reference-anchored ratings with pairwise refinement for ambiguous regions. Statistical checks across observer cohorts validate score reliability. Large-scale objective metric testing evaluates global accuracy, local agreement on ambiguous regions, and robustness across distortion families, showing metric degradation with view-synthesis distortions and emphasizing view-pooling design for future metrics; dataset is publicly released.","Towards Standardized Light Field Quality Assessment: Hybrid Subjective Benchmarking and  \nObjective Metric Evaluation  \nSaeed Mahmoudpour, Mylne C. Q. Farias, Gi-Mun Um, Myllena A. Prado, Ismael Seidel, Leonardo de Sousa Marques, Leonardo Andrade, Shengyang Zhao, Carla L Pagliari, Senior Member, IEEE  \narXiv :2607 .03494v 1 [ cs .CV] 3 Jul 2026  \nAbstract—Benchmarking immersive media coding solutions, especially in the standardization context, requires reliable and reproducible subjective quality assessment (QA) procedures, along with objective quality metrics that remain accurate across different distortion types. This paper presents a standardized workflow for light field QA, developed and deployed in the context of JPEG Pleno standardization activities, which integrates benchmark generation, a hybrid subjective evaluation, and objective metric analysis into a common workflow. The benchmark is designed to encompass not only traditional coding-only artifacts but also distortions that arise in processing pipelines in which light field encoding is accompanied with view synthesis and reconstruction techniques. A hybrid subjective method is proposed enabling fine-grained assessment by combining referenceanchored quality rating with targeted pairwise refinement in perceptually ambiguous regions. The reliability of subjective scores is verified using statistical consistency analyses between observers of two cohorts. Finally, a large set of objective metricsis systematically evaluated in terms of global prediction accuracy, local agreement in ambiguous quality regions, and robustness across distortion families. The results show that several metrics achieve strong agreement for coding-only stimuli, but their performance consistently drops when view synthesis distortions are included. The analysis further highlights the importance of view-pooling strategy in the design of future light field quality metrics. The work provides a reproducible and standardizationready framework for fine-grained light field QA, while identifying key limitations of current objective metrics under emerging coding pipelines. The subjectively annotated dataset is publicly available at [https://plenodb.jpeg.org/lfqa/objectivecfp](https://plenodb.jpeg.org/lfqa/objectivecfp).  \nIndex Terms—Light fields, subjective quality assessment, objective quality metrics, standardization, 3D Gaussian Splatting, view interpolation.  \nThis work is funded by Electronics and Telecommunications Research Institute under Collaboration Agreement - 86203.  \nSaeed Mahmoudpour is with the Dept. of Electronics and Informatics, Vrije Universiteit Brussel, Belgium and with IMEC, Kapeldreef 75, Leuven, B- 3001, Belgium. (e-mail: [Saeed.Mahmoudpour@vub.be](Saeed.Mahmoudpour@vub.be))  \nMyllena A. Prado and Mylne C. Q. Farias are with the Department of Computer Science, Texas State University, US. ([e-mail: myllena@txstate.edu](e-mail: myllena@txstate.edu); [mylene@ieee.org](mylene@ieee.org))  \nGi-Mun Um is with the Electronics and Telecommunications Research Institute, Daejeon, Korea. (e-mail: [gmum@etri.re.kr](gmum@etri.re.kr))  \nIsmael Seidel and Leonardo de Sousa Marques are with the Embedded Computing Lab., Dept. of Computer Science and Statistics, Federal University of Santa Catarina, Brazil. (e-mail: [ismael.seidel@ufsc.br](ismael.seidel@ufsc.br); [leonardo.sm@grad.ufsc.br](leonardo.sm@grad.ufsc.br))  \nLeonardo Andrade is with the Licks Attorneys and the Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil. (e[mail:leonardo.andrade@lickslegal.com](mail:leonardo.andrade@lickslegal.com).)  \nShengyang Zhao is with the Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo, China. (e-mail: [szhao@idt.eitech.edu.cn](szhao@idt.eitech.edu.cn))  \nCarla L Pagliari is with the Instituto Militar de Engenharia-IME, PGEE/PGED, Brazil. (e-mail: [carla@ime.eb.br](carla@ime.eb.br))  \nI. INTRODUCTION  \nLIGHT field (LF) imaging extends conventional photog  \nraphy by cap","cbCaiaGSUT6HOv9q","https://ap.wps.com/l/cbCaiaGSUT6HOv9q","pdf",3217082,2,1,13,"English","en",105,"# Introduction\n## Light-field representation and plenoptic function\n## Need for coding and quality assessment in JPEG Pleno\n# Quality assessment workflow (benchmarking and evaluation)\n## Hybrid subjective evaluation method\n## Objective metric evaluation and robustness analysis\n## Results and implications for future metrics","[{\"question\":\"What problem does the paper address in light-field quality assessment?\",\"answer\":\"The paper targets reliable, reproducible subjective QA methods and objective metrics that remain accurate across different distortion types, especially when view-synthesis pipeline distortions occur.\"},{\"question\":\"How does the proposed hybrid subjective method improve assessment quality?\",\"answer\":\"It combines reference-anchored quality ratings with targeted pairwise refinement in perceptually ambiguous regions, enabling fine-grained evaluation.\"},{\"question\":\"What do the results say about objective metrics when view synthesis distortions are included?\",\"answer\":\"Several metrics agree strongly for coding-only stimuli, but their prediction performance consistently drops once view-synthesis distortions are part of the 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problem does the paper address in light-field quality assessment?","Question",{"text":75,"@type":76},"The paper targets reliable, reproducible subjective QA methods and objective metrics that remain accurate across different distortion types, especially when view-synthesis pipeline distortions occur.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How does the proposed hybrid subjective method improve assessment quality?",{"text":80,"@type":76},"It combines reference-anchored quality ratings with targeted pairwise refinement in perceptually ambiguous regions, enabling fine-grained evaluation.",{"name":82,"@type":73,"acceptedAnswer":83},"What do the results say about objective metrics when view synthesis distortions are included?",{"text":84,"@type":76},"Several metrics agree strongly for coding-only stimuli, but their prediction performance consistently drops once view-synthesis distortions are part of the 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