000079671 001__ 79671 000079671 005__ 20190819103726.0 000079671 0247_ $$2doi$$a10.1109/TVCG.2016.2517641 000079671 0248_ $$2sideral$$a97877 000079671 037__ $$aART-2017-97877 000079671 041__ $$aeng 000079671 100__ $$aLiang, Yun 000079671 245__ $$aObjective quality prediction of image retargeting algorithms 000079671 260__ $$c2017 000079671 5060_ $$aAccess copy available to the general public$$fUnrestricted 000079671 5203_ $$aQuality assessment of image retargeting results is useful when comparing different methods. However, performing the necessary user studies is a long, cumbersome process. In this paper, we propose a simple yet efficient objective quality assessment method based on five key factors: i) preservation of salient regions; ii) analysis of the influence of artifacts; iii) preservation of the global structure of the image; iv) compliance with well-established aesthetics rules; and v) preservation of symmetry. Experiments on the RetargetMe benchmark, as well as a comprehensive additional user study, demonstrate that our proposed objective quality assessment method outperforms other existing metrics, while correlating better with human judgements. This makes our metric a good predictor of subjective preference. 000079671 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000079671 590__ $$a3.078$$b2017 000079671 591__ $$aCOMPUTER SCIENCE, SOFTWARE ENGINEERING$$b8 / 104 = 0.077$$c2017$$dQ1$$eT1 000079671 592__ $$a0.869$$b2017 000079671 593__ $$aComputer Graphics and Computer-Aided Design$$c2017$$dQ1 000079671 593__ $$aSoftware$$c2017$$dQ1 000079671 593__ $$aSignal Processing$$c2017$$dQ1 000079671 593__ $$aComputer Vision and Pattern Recognition$$c2017$$dQ1 000079671 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000079671 700__ $$aLiu, Yong Lin 000079671 700__ $$0(orcid)0000-0002-7503-7022$$aGutierrez, Diego$$uUniversidad de Zaragoza 000079671 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000079671 773__ $$g23, 2 (2017), 1099-1110$$pIEEE trans. vis. comput. graph.$$tIEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS$$x1077-2626 000079671 8564_ $$s716420$$uhttps://zaguan.unizar.es/record/79671/files/texto_completo.pdf$$yPostprint 000079671 8564_ $$s13524$$uhttps://zaguan.unizar.es/record/79671/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000079671 909CO $$ooai:zaguan.unizar.es:79671$$particulos$$pdriver 000079671 951__ $$a2019-08-19-09:43:00 000079671 980__ $$aARTICLE