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One of the most obvious attributes of social images is the tag. However, the sate-of-the-art methods fail to fully exploit the tag information for saliency detection. Thus this paper focuses on salient region detection of social images using both image appearance features and image tag cues. First, a deep convolution neural network is built, which considers both appearance features and tag features. Second, tag neighbor and appearance neighbor based saliency aggregation terms are added to the saliency model to enhance salient regions. The aggregation method is dependent on individual images and considers the performance gaps appropriately. Finally, we also have constructed a new large dataset of challenging social images and pixel-wise saliency annotations to promote further researches and evaluations of visual saliency models. Extensive experiments show that the proposed method performs well on not only the new dataset but also several state-of-the-art saliency datasets.<\/jats:p>","DOI":"10.1155\/2018\/1014595","type":"journal-article","created":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T18:30:18Z","timestamp":1514831418000},"page":"1-16","source":"Crossref","is-referenced-by-count":0,"title":["Saliency Aggregation: Multifeature and Neighbor Based Salient Region Detection for Social Images"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1715-4538","authenticated-orcid":true,"given":"Ye","family":"Liang","sequence":"first","affiliation":[{"name":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China"},{"name":"Beijing Union University, Beijing 100101, China"}]},{"given":"Congyan","family":"Lang","sequence":"additional","affiliation":[{"name":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China"}]},{"given":"Jian","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China"}]},{"given":"Hongzhe","family":"Liu","sequence":"additional","affiliation":[{"name":"Beijing Union University, Beijing 100101, China"}]},{"given":"Nan","family":"Ma","sequence":"additional","affiliation":[{"name":"Beijing Union University, Beijing 100101, China"}]}],"member":"311","reference":[{"key":"50","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.08.039"},{"key":"51","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.06.021"},{"key":"40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-04114-8_12"},{"key":"33","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2461603"},{"key":"34","doi-asserted-by":"publisher","DOI":"10.1109\/34.730558"},{"key":"35","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.89"},{"key":"27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_50"},{"key":"52","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.11.056"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2014.2345401"},{"key":"43","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2013.07.011"},{"key":"44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2465908"},{"key":"48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35728-2_41"},{"key":"36","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2010.70"},{"key":"38","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.130"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.147"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15555-0_27"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2011.146"},{"journal-title":"Advances in Neural Information Processing Systems","first-page":"109","year":"2011","key":"28"}],"container-title":["Applied Computational Intelligence and Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/acisc\/2018\/1014595.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/acisc\/2018\/1014595.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/acisc\/2018\/1014595.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T18:30:24Z","timestamp":1514831424000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/acisc\/2018\/1014595\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":18,"alternative-id":["1014595","1014595"],"URL":"https:\/\/doi.org\/10.1155\/2018\/1014595","relation":{},"ISSN":["1687-9724","1687-9732"],"issn-type":[{"type":"print","value":"1687-9724"},{"type":"electronic","value":"1687-9732"}],"subject":[],"published":{"date-parts":[[2018]]}}}