Extraction of image semantic features with spatial-range mean shift clustering algorithm

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 机器人学研究室

	Extraction of image semantic features with spatial-range mean shift clustering algorithm
	Wang MY(王孟月); Zhang CL(张常麟); Song Y(宋彦)
	2010
会议名称	2010 IEEE 10th International Conference on Signal Processing, ICSP2010
会议日期	October 24-28, 2010
会议地点	Beijing, China
关键词	Bag-of-visual Words mean shift FP-growth algorithm
页码	906-909
通讯作者	王孟月
中文摘要	In recent years, the Bag-of-visual Words image representation has led to many significant results in visual object recognition and categorization. However, experiments show that the unsupervised clustering of primitive visual features tends to result in the limited discriminative ability of the visual codebook, since it does not take the spatial relationship between visual primitives into consideration. This paper aims at generating descriptive higher-order semantic features, which are extracted from visual word sets clustered by spatial-range mean shift and are a better representation for images. This method first uses mean shift algorithm to cluster visual words for an image from the spatial and color space, then uses FP-growth algorithm to mine the meaningful spatially concurrent groups of visual words in all images and regards the high frequency visual word combinations which can represent parts of objects as semantic features. The experiments on Caltech 101 dataset demonstrate that the proposed higher-order semantic features can achieve good results.
收录类别	EI ; CPCI（ISTP）
产权排序	2
会议主办者	IEEE Beijing Section; The Chinese Institute of Electronics (CIE); The Institution of Engineering and Technology (IET); Union Radio Scientifique Internationale (URSI); National Natural Science Foundation of China
会议录	International Conference on Signal Processing Proceedings, ICSP
会议录出版者	IEEE
会议录出版地	Piscataway, NJ, USA
语种	英语
ISBN号	978-1-4244-5898-1
WOS记录号	WOS:000296986200225
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/20051]
专题	沈阳自动化研究所_机器人学研究室
推荐引用方式 GB/T 7714	Wang MY,Zhang CL,Song Y. Extraction of image semantic features with spatial-range mean shift clustering algorithm[C]. 见:2010 IEEE 10th International Conference on Signal Processing, ICSP2010. Beijing, China. October 24-28, 2010.