000064402 001__ 64402 000064402 005__ 20190819101352.0 000064402 0247_ $$2doi$$a10.1109/JSTSP.2017.2746263 000064402 0248_ $$2sideral$$a101174 000064402 037__ $$aART-2017-101174 000064402 041__ $$aeng 000064402 100__ $$0(orcid)0000-0003-3161-3793$$aOrtin, Marta 000064402 245__ $$aAnalyzing interfaces and workflows for light field editing 000064402 260__ $$c2017 000064402 5060_ $$aAccess copy available to the general public$$fUnrestricted 000064402 5203_ $$aWith the increasing number of available consumer light field cameras, such as Lytro, Raytrix, or Pelican Imaging, this new form of photography is progressively becoming more common. However, there are still very few tools for light field editing, and the interfaces to create those edits remain largely unexplored. Given the extended dimensionality of light field data, it is not clear what the most intuitive interfaces and optimal workflows are, in contrast with well-studied two-dimensional (2-D) image manipulation software. In this work, we provide a detailed description of subjects' performance and preferences for a number of simple editing tasks, which form the basis for more complex operations. We perform a detailed state sequence analysis and hidden Markov chain analysis based on the sequence of tools and interaction paradigms users employ while editing light fields. These insights can aid researchers and designers in creating new light field editing tools and interfaces, thus helping to close the gap between 4-D and 2-D image editing. 000064402 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/TIN2016-78753-P$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 682080-CHAMELEON$$9info:eu-repo/grantAgreement/EC/H2020/682080/EU/Intuitive editing of visual appearance from real-world datasets/CHAMELEON 000064402 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/ 000064402 590__ $$a4.361$$b2017 000064402 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b30 / 260 = 0.115$$c2017$$dQ1$$eT1 000064402 592__ $$a1.331$$b2017 000064402 593__ $$aSignal Processing$$c2017$$dQ1 000064402 593__ $$aElectrical and Electronic Engineering$$c2017$$dQ1 000064402 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000064402 700__ $$0(orcid)0000-0001-9000-0466$$aJarabo, Adrian 000064402 700__ $$0(orcid)0000-0003-0060-7278$$aMasia, Belen$$uUniversidad de Zaragoza 000064402 700__ $$0(orcid)0000-0002-7503-7022$$aGutierrez, Diego$$uUniversidad de Zaragoza 000064402 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000064402 773__ $$g11, 7 (2017), 1162-1172$$pIEEE Journal of Selected Topics in Signal Processing$$tIEEE Journal of Selected Topics in Signal Processing$$x1932-4553 000064402 8564_ $$s12517661$$uhttps://zaguan.unizar.es/record/64402/files/texto_completo.pdf$$yPostprint 000064402 8564_ $$s77166$$uhttps://zaguan.unizar.es/record/64402/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000064402 909CO $$ooai:zaguan.unizar.es:64402$$particulos$$pdriver 000064402 951__ $$a2019-08-19-09:51:19 000064402 980__ $$aARTICLE