QQ客服 官方微博 反馈留言

	A study on interest point guided visual saliency
	Zhang, Xiang ; Wang, Shiqi ; Ma, Siwei ; Gao, Wen
	2015
英文摘要	Visual attention is one of the most critical characteristics of human visual system (HVS), which infers the attractive regions in a visual scene. It has been an active research topic over the past decades and many proposed models of visual attention have demonstrated successful applications in a wide range of fields including computer vision and image processing. On the other hand, interest point detection is another hot topic that leads practical contributions to the real-time applications such as visual retrieval and augmented reality. In this paper, we try to investigate the relationship between the interest point and the visual attention. An informative analysis is reported by comparing the performance of different interest point models in predicting the visual fixation. It is found that the blob based interest point model generally outperforms the corner based model. Furthermore, we propose a mixture strategy by integrating all the interest point algorithms, and the experimental results indicate that this proposed method is competitive with some state-of-the-art algorithms. ? 2015 IEEE.; EI; 307-311
语种	英语
出处	31st Picture Coding Symposium, PCS 2015 - with 2015 Packet Video Workshop, PV 2015
DOI标识	10.1109/PCS.2015.7170096
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/423730]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Zhang, Xiang,Wang, Shiqi,Ma, Siwei,et al. A study on interest point guided visual saliency. 2015-01-01.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。