全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于整体区域相似的互动式图象检索模型

DOI: 10.11834/jig.200307281

Keywords: 计算机信息管理系统(520?6070),图象检索,整体区域相似,小波特征提取,互动方法

Full-Text   Cite this paper   Add to My Lib

Abstract:

高效的基于内容的图象检索在许多领域得到了广泛的应用,基于内容的图象检索研究领域已经建立了一些系统,但在实际使用中,这些系统均有如下欠缺:(1)这些系统均期望以相同的方法来处理各种不同类型的图象检索;(2)这些系统在设计时,均缺乏从使用者的需求出发.实际上,由于不同的检索方式是针对不同类型的图象,为此,提出了一个基于整体区域相似匹配的图象互动式检索系统,该系统是一个基于小波变换的特征提取和图象整体区域相似的、语义分类和互动方法的图象检索系统.与其他检索方法相比较,此方法允许自适应查找和互动,因此可缩小查找范围,以提高检索效率.实验结果表明,该系统比其他一些系统精确和高效

References

[1]  [2]Pentland A, Picard R W, Sclaroff S. Photobook: Content-based manipulation of image databases [J]. International Journal of Computer Vision, 1996,18(3): 322~330.
[2]  [4]Ma W Y, Manjunath B S. Netra: A toolbox for navigating large image databases [A]. In: Proceedings of IEEE International Conference on Image Processing[C], Berkeley, CA, USA, 1997:231~238.
[3]  [6]Ortega M, Rui Y, Chakrabarti K et al. , Supporting Similarity Queries in MARS [A]. In: Proceedings of Association for Computing Machinery Multimedia\'97 [C], Orlando, FL, USA,1997:269~277.
[4]  [9]Mukherjea S, Hirata K, Hara Y. AMORE:A World Wide Web image retrieval wngine[J]. Proceedings of World Wide Web,1999,2(3):115~132.
[5]  [11]Rui Y, Huang T S, Chang S F. Image Retrieval: Current Techniques, Promising Directions, and Open Issues[J]. Journal of Visual Communication and Image Representation, 1999,10:53~61.
[6]  [1]Filickner M, Sawhney H, Niblack W et al, Query by image and video content: The QBIC system [J]. IEEE Transactions on Computer, 1995,28(9) :67~74.
[7]  [3]Smith J R, Chang S F. VisualSEEK: A fully automated contentbased image query system[A]. In: Proceedings of Association for Computing Machinery Multimedia\'96 [C], New York, 1996:142~149.
[8]  [5]Gevers T, Smeulders A W M. PicToSeek: Combining color and shape invariant features for image retrieval [J] IEEE Transactions on Image Processing, 2000,9(1):102~111.
[9]  [7]Gupta A, Jain R. Visual Information Retrieval [J].Communication of Association for Computing Machinery, 1997,40(5) :70~79.
[10]  [8]Sheikholeslami G, Chang W, Zhang A. Semantic clustering and querying on heterogeneous features for visual data [A]. In:Proceedings of Association for Computing Machinery Multimedia[C],New York,1998:3~12.
[11]  [10]Hartigan J A, Wong M A. Algorithm AS136: A k-means Clustering Algorithm [J]. Applied Statistics, 1979. 28:100 ~108.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133