中文    English
当前位置: 本站首页 » 科学研究 » 科研成果 » 正文

A Computational Model for Object-Based Visual Saliency: Spreading Attention Along Gestalt Cues

发布日期:2016-12-01 09:50:50 阅读次数:[2314]次 作者:

核心提示:来源出版物: IEEE TRANSACTIONS ON MULTIMEDIA

作者: Yu, JG (Yu, Jin-Gang); Xia, GS (Xia, Gui-Song); Gao, CX (Gao, Changxin); Samal, A (Samal, Ashok)
来源出版物: IEEE TRANSACTIONS ON MULTIMEDIA  卷: 18  期: 2  页: 273-286  DOI: 10.1109/TMM.2015.2505908  出版年: FEB 2016
摘要: The past few years have witnessed impressive progress on the research of salient object detection. Nevertheless, existing approaches still cannot perform satisfactorily in the case of complex scenes, particularly when the salient objects have non-uniform appearance or complicated shapes, and the background is complexly structured. One important reason for such limitations may be that these approaches commonly ignore the factor of perceptual grouping in saliency modeling. To address this issue, this paper presents a novel computational model for object-based visual saliency, which explicitly takes into consideration the connections between attention and perceptual grouping, and incorporates Gestalt grouping cues into saliency computation. Inspired by the sensory enhancement theory, we suggest a paradigm for object-based saliency modeling, that is, object-based saliency stems from spreading attention along Gestalt grouping cues. Computationally, three typical Gestalt cues, including proximity, similarity, and closure, are respectively extracted from the given image, which are then integrated by constructing a unified Gestalt graph. A new algorithm named personalized power iteration clustering is developed to effectively fulfill the spreading of attention information across the Gestalt graph. Intensive experiments have been carried out to demonstrate the superior performance of the proposed model in comparison to the state-of-the-art. 


版权所有:测绘遥感信息工程国家重点实验室   
联系地址: 中国·武汉市珞瑜路129号   邮编: 430079   E-mail:liesmars@whu.edu.cn
Tel/Fax:027-68778969(办公室) 027-68778229(国际交流办公室)027-68778525(研究生管理办公室)