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HAB优化算法的图像语义目标对象提取研究

DOI: 10.11834/jig.20070808

Keywords: 目标对象获取,HAB优化算法,图像分析,图像语义

Full-Text   Cite this paper   Add to My Lib

Abstract:

提出了一种基于优化Adaboost算法(HAB优化算法)的半监督图像语义目标对象获取方法。在分析Adaboost算法评估函数不足的基础上,设计并实现HAB优化算法。对比实验结果表明,HAB优化算法在训练误差与抗干扰能力方面具有更好的性能。在此基础上,研究应用HAB优化算法的图像语义目标对象获取方法,从图像对象特征预处理、对象识别器训练、语义对象获取3个方面进行论述。通过实验分析,该方法具有良好的图像目标对象获取性能。

References

[1]  Smith J R,Li C S.Image classification and querying using composite region templates[J].Computer Vision and Image Understanding,1999,75(1-2):165-174.
[2]  Wang J Z,Li J,Wiederhold G.SIMPLIcity:semantic sensitive integrated matching for picture libraries[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2001,23 (9):947~963.
[3]  Benitez A B,Chang S F.Semantic knowledge construction from annotated image collections[A].In:Proceedings of the 2002 International Conference on Multimedia & Expo (ICME 2002)[C],Lausanne,Switzerland,2002:26 ~ 29.
[4]  Weber M,Welling M,Perona P.Towards automatic discovery of object categories[A].In:Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR 2000)[C],Hilton Head Island,South Carolina,2000,(2):101 ~ 108.
[5]  Li S,Lv X,Zhang H J.View-based clustering of object appearances based on independent subspace analysis[A].In:Proceedings of the International Conference on Computer Vision (ICCV 2001)[C],Vancouver,Canada,2001:295 ~300.
[6]  Viola P,Jones M.Robust real-time object detection[J].International Journal Computer Vision,2004,57 (2):137 ~ 154.
[7]  Freund Y.Boosting a weak learning algorithm by majority[J].Information and Computation,1995,121(2):256 ~285.
[8]  Smeulders A W M,Worring M,Santini S,et al.Content-based image retrieval at the end of the early years[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2005,22 (12):1349 ~ 1380.
[9]  Chang E,Goh K,Sychay G,et al.CBSA:Content-based annotation for multimodal image retrieval using bayes point machines[J].IEEE Transactions on Circuits and Systems for Video Technnlogy,2002,13(1):26~38.
[10]  Vailaya A,Figueiredo M,Jain A K,et al.Image classification for content-based indexing[J].IEEE Transactions on Image Processing,2001,10(1):117 ~130.
[11]  Carson C,Belongie S,Greenspan H,et al.Blobworld:image segmentation using expectation-maximization and its application to image querying[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24 (8):1026 ~ 1038.
[12]  Wang W,Song Y,Zhang A.Semantic-based image retrieval by region saliency[A].In:Proceedings of International Conference on Image and Video Retrieval(ICVR 2002)[C],London,UK,2002:29 ~ 37.
[13]  Zhu X,Huang T S.Unifying keywords and visual contents in image retrieval[J].IEEE Multimedia,2002,9(2):23 ~33.
[14]  Luo J,Etz S.A physical model-based approach to detecting sky in photographic images[J].IEEE Transactions on Image Processing,2002,11(3):210 ~212.
[15]  Torralba A,Murphy K P,Freeman W T.Sharing features:efficient boosting procedures for multiclass object detection[A].In:Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004)[C],San Diego,USA,2004:762 ~ 769.
[16]  Papageorgiou C,Poggio T.A trainable system for object detection[J].International Journal of Computer Vision,2000,38(1):15 ~33.
[17]  Amores J,Sebe N,Radeva P.Efficient object-class recognition by boosting contextual information[A].In:Proceedings of 2nd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2005)[C],Estoril,Portugal,2005:28 ~ 35.
[18]  Yokono J J,Poggio T.Boosting a Biologically Inspired Local Descriptor for Geometry-free Face and Full Multi-view 3D Object Recognition[R].MIT-CSAIL-TR-2005-046,Cambridge,USA:The MIT Computer Science and Artificial Intelligence Laboratory,2005.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133