{"_id":"rrzdszS2222WqiCSg","bibbaseid":"bulbul-dahyot-socialmediabased3dvisualpopularity-2017","authorIDs":["6fptrFgK7WSZkf6TM"],"author_short":["Bulbul, A.","Dahyot, R."],"bibdata":{"bibtype":"article","type":"article","title":"Social media based 3D visual popularity ","journal":"Computers & Graphics ","volume":"63","number":"","pages":"28 - 36","year":"2017","note":"","issn":"0097-8493","doi":"10.1016/j.cag.2017.01.005","url":"https://mural.maynoothuniversity.ie/15107/1/RD_social.pdf","author":[{"firstnames":["Abdullah"],"propositions":[],"lastnames":["Bulbul"],"suffixes":[]},{"firstnames":["Rozenn"],"propositions":[],"lastnames":["Dahyot"],"suffixes":[]}],"keywords":"3D cities ","abstract":"This paper proposes to use a geotagged virtual world for the visualization of people’s visual interest and their sentiment as captured from their social network activities. Using mobile devices, people widely share their experiences and the things they find interesting through social networks. We experimentally show that accumulating information over a period of time from multiple social network users allows to efficiently map and visualize popular landmarks as found in cities such as Rome in Italy and Dublin in Ireland. The proposed approach is also sensitive to temporal and spatial events that attract visual attention. We visualize the calculated popularity on 3D virtual cities using game engine technologies. ","bibtex":"@article{BulbulCAG2016,\ntitle = {Social media based 3D visual popularity },\njournal = {Computers \\& Graphics }, \nvolume = {63}, \nnumber = {},\npages = {28 - 36}, \nyear = {2017}, \nnote = {}, \nissn = {0097-8493},\ndoi = {10.1016/j.cag.2017.01.005}, \nurl = {https://mural.maynoothuniversity.ie/15107/1/RD_social.pdf}, \nauthor = {Abdullah Bulbul and Rozenn Dahyot}, \nkeywords = {3D cities },\nabstract = {This paper proposes to use a geotagged virtual world for the visualization of people’s visual interest\nand their sentiment as captured from their social network activities. Using mobile devices, people widely \nshare their experiences and the things they find interesting through social networks. We experimentally show\nthat accumulating information over a period of time from multiple social network users allows to efficiently map\nand visualize popular landmarks as found in cities such as Rome in Italy and Dublin in Ireland. The proposed approach \nis also sensitive to temporal and spatial events that attract visual attention. We visualize the calculated popularity on\n3D virtual cities using game engine technologies. }\n}","author_short":["Bulbul, A.","Dahyot, R."],"key":"BulbulCAG2016","id":"BulbulCAG2016","bibbaseid":"bulbul-dahyot-socialmediabased3dvisualpopularity-2017","role":"author","urls":{"Paper":"https://mural.maynoothuniversity.ie/15107/1/RD_social.pdf"},"keyword":["3D cities"],"metadata":{"authorlinks":{"dahyot, r":"https://roznn.github.io/ipublication.html"}},"downloads":0},"bibtype":"article","biburl":"https://raw.githubusercontent.com/Roznn/Roznn.github.io/master/works.bib","creationDate":"2021-01-17T18:19:29.531Z","downloads":0,"keywords":["3d cities"],"search_terms":["social","media","based","visual","popularity","bulbul","dahyot"],"title":"Social media based 3D visual popularity ","year":2017,"dataSources":["LyGNQYGRFw8k9gPrK","dtJ7afty6nTMHhqAE"]}