000205865 001__ 205865
000205865 005__ 20190317000125.0
000205865 020__ $$a978-1-62841-484-4
000205865 0247_ $$2doi$$a10.1117/12.2076936
000205865 02470 $$2ISI$$a000354081600027
000205865 037__ $$aCONF
000205865 245__ $$aModeling the Importance of Faces in Natural Images
000205865 269__ $$a2015
000205865 260__ $$bSpie-Int Soc Optical Engineering$$c2015$$aBellingham
000205865 300__ $$a11
000205865 336__ $$aConference Papers
000205865 490__ $$aProceedings of SPIE
000205865 520__ $$aIn this work we study the varying importance of faces in images. Face importance is found to be affected by the size and number of faces present. We collected a dataset of 152 face images with faces in different size and number of faces. We conducted a crowdsourcing experiment where we asked people to label the important regions of the images. Analyzing the results from the experiment, we propose a simple face-importance model, which is a 2D Gaussian function, to quantitatively represent the influence of the size and number of faces on the perceived importance of faces. The face-importance model is then tested for the application of salient-object detection. For this application, we create a new salient-objects dataset, consisting of both face images and non-face images, and also through crowdsourcing we collect the ground truth. We demonstrate that our face-importance model helps us to better locate the important, thus salient, objects in the images and outperforms state-of-the-art salient-object detection algorithms.
000205865 6531_ $$aFace importance
000205865 6531_ $$aface size
000205865 6531_ $$anumber of faces
000205865 6531_ $$a2D Gaussian
000205865 6531_ $$asalient-object detection
000205865 700__ $$0247134$$g221036$$aJin, Bin
000205865 700__ $$0245739$$g200257$$aYildirim, Gökhan
000205865 700__ $$aLau, Cheryl
000205865 700__ $$0245251$$g188751$$aShaji, Appu
000205865 700__ $$aOrtiz Segovia, Maria
000205865 700__ $$0241946$$g125681$$aSüsstrunk, Sabine
000205865 7112_ $$dFebruary 9 - 12, 2015$$cSan Francisco, USA$$aHuman Vision and Electronic Imaging XX, IS&T/SPIE Electronic Imaging
000205865 773__ $$tHuman Vision and Electronic Imaging XX - Proceedings of SPIE
000205865 8564_ $$uhttps://infoscience.epfl.ch/record/205865/files/EI_2015_manuscript.pdf$$zn/a$$s6119238$$yn/a
000205865 909C0 $$xU10429$$0252320$$pIVRL
000205865 909CO $$ooai:infoscience.tind.io:205865$$qGLOBAL_SET$$pconf$$pIC
000205865 917Z8 $$x221036
000205865 917Z8 $$x221036
000205865 937__ $$aEPFL-CONF-205865
000205865 973__ $$rREVIEWED$$sACCEPTED$$aEPFL
000205865 980__ $$aCONF