{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:44:09Z","timestamp":1781109849186,"version":"3.54.1"},"reference-count":31,"publisher":"IGI Global Scientific Publishing","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,7,1]]},"abstract":"<p>Saliency detection has always been a challenging and interesting research area for researchers. The existing methodologies either focus on foreground regions or background regions of an image by computing low-level features. However, considering only low-level features did not produce worthy results. In this paper, low-level features, which are extracted using super pixels, are embodied with high-level priors. The background features are assumed as the low-level prior due to the similarity in the background areas and boundary of an image which are interconnected and have minimum distance in between them. High-level priors such as location, color, and semantic prior are incorporated with low-level prior to spotlight the salient area in the image. The experimental results illustrate that the proposed approach outperform the sate-of-the-art methods.<\/p>","DOI":"10.4018\/ijcvip.2019070102","type":"journal-article","created":{"date-parts":[[2019,7,10]],"date-time":"2019-07-10T10:51:58Z","timestamp":1562755918000},"page":"23-37","source":"Crossref","is-referenced-by-count":0,"title":["A Visual Saliency Detection Approach by Fusing Low-Level Priors With High-Level Priors"],"prefix":"10.4018","volume":"9","author":[{"given":"Monika","family":"Singh","sequence":"first","affiliation":[{"name":"GLA University, Mathura, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7469-6608","authenticated-orcid":true,"given":"Anand Singh Singh","family":"Jalal","sequence":"additional","affiliation":[{"name":"GLA University, Mathura, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruchira","family":"Manke","sequence":"additional","affiliation":[{"name":"GLA University, Mathura, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amir","family":"Khan","sequence":"additional","affiliation":[{"name":"GLA University, Mathura, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJCVIP.2019070102-0","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206596"},{"key":"IJCVIP.2019070102-1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.120"},{"key":"IJCVIP.2019070102-2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.28"},{"key":"IJCVIP.2019070102-3","article-title":"Fusing generic objectness and visual saliency for salient object detection.","author":"K.-Y.Chang","year":"2011","journal-title":"IEEE International Conference on Computer Vision, ICCV."},{"key":"IJCVIP.2019070102-4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2345401"},{"key":"IJCVIP.2019070102-5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.272"},{"key":"IJCVIP.2019070102-6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383267"},{"key":"IJCVIP.2019070102-7","doi-asserted-by":"publisher","DOI":"10.1109\/34.730558"},{"key":"IJCVIP.2019070102-8","first-page":"1761","article-title":"Category-independent object-level saliency detection.","author":"Y.Jia","year":"2013","journal-title":"Proceedings of the IEEE international conference on computer vision"},{"key":"IJCVIP.2019070102-9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.271"},{"key":"IJCVIP.2019070102-10","doi-asserted-by":"publisher","DOI":"10.1145\/321992.321993"},{"key":"IJCVIP.2019070102-11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126499"},{"key":"IJCVIP.2019070102-12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.70"},{"key":"IJCVIP.2019070102-13","doi-asserted-by":"publisher","DOI":"10.1145\/957013.957094"},{"key":"IJCVIP.2019070102-14","doi-asserted-by":"publisher","DOI":"10.1049\/el.2014.3334"},{"key":"IJCVIP.2019070102-15","doi-asserted-by":"publisher","DOI":"10.1109\/ICIINFS.2016.8262934"},{"key":"IJCVIP.2019070102-16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2562626"},{"key":"IJCVIP.2019070102-17","doi-asserted-by":"crossref","unstructured":"Perazzi, F., Kr\u00e4henb\u00fchl, P., Pritch, Y., & Hornung, A. 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