期刊文献+

基于内容的图像检索发展方向的探索 被引量:2

下载PDF
导出
摘要 针对基于文本的图像检索(TBIR)在图像检索中的局限性,基于内容的图像检索(CBIR)出现了并迅速成为一个研究热点。文章对CBIR未来发展的8个研究方向进行了重点分析。
作者 何佳蓉 苏赋
机构地区 西南石油大学
出处 《信息通信》 2015年第1期85-85,共1页 Information & Communications
关键词 CBIR 发展方向
  • 相关文献

参考文献3

二级参考文献31

  • 1刘刚.MATLAB数字图像处理[M].北京:机械工业出版社,2010.
  • 2HIDEYUKI Tamura, MORI, TAKASHI Yamawaki. Textural Features Corresponding to Visual Perception [ J ]. IEEE Trans, Systems, Man and Cybernetics, 1978,8(6) :460-473.
  • 3STARCK JL, CANDES EJ, DONOHO DL. The Curve- let Transform for Image Denoisong [J].IEEE Trans. Image Processing ,2002,11 ( 6 ) :670 - 684.
  • 4YUAN Hua, ZHANG XiaoPing. Statistical Modeling in the Wavelet Domain for Compact Feature Extraction and Similarity Measure of Images [J].IEEE Trans. Circuits and Systems for Video Technology, 2010,20 (3) :439 -445.
  • 5CANSES Emmanuel, DEMANET Laurent, DONOHO David,et al. Fast Discrete Curvelet Transforms [J]. Multiscal Modeling and Simulation, 2006, 5 ( 3 ) : 861 - 899.
  • 6IJ Sumana, MM Islam, ZHANG DengSheng, et al. Content based image retrieval using curvelet transform [ C]. In Proc. 2008 IEEE 10th Workshop on. Multime- dia Signal Processing, Carins, Qld ,2008 : 11 - 16.
  • 7B. S Manjunath, W. Y Ma. Texture Features For Brow- sing And Retrieval Of Image Data [ J ]. IEEE Trans, Pattern Analysis and Machine Intelligence, 1996, 18 (8) :837 -842.
  • 8CHEN LianPing, Lu GuoJun, ZHANG DengSheng. Effects of Different Gabor Filter Parameters on Image Retrieval by Texture [ C ]. In Proc. 2004. Proceedings. 10th International. Multimedia Modelling Conference, 2004:273 - 278.
  • 9WANG T, RUI Y, SUN J G. Constraint based region matching h:r image retrieval [J]. International Journal of Computer Vi- sion, 2004, 56( 1): 37-45.
  • 10LIN Hui-bao, SI J, ABOUSLEMAN G P. Region-of-interest de- tection and its application to image segmentation and compres- sion [C]// Proceedings of International Conference on Integra- tion of Knowledge Intensive Multi- Agent System. Wahham, MA: KIMAS, 2007: 306-311.

共引文献12

同被引文献27

  • 1Yilldizer E, Balci A M, Hassan M, et al. Efficient content-based image retrieval using multiple support vector machines ensemble[J]. Expert Systems with Ap- plictaions, 2012, 39(3): 2385- 2396.
  • 2Kovashka A, Parikh D, Grauman K. Whittlesearch : in- teractive image search with relative attribute feedback [J]. International Journal on Computer Vision, 2015, 115(2) :185 -210.
  • 3Zhang H, Zha Z J, Yang Y, et al. Attribute-augmen- ted semantic hierarchy: towards bridging semantic gap and intention gap in image retrieval [ C ] //ACM Inter- national Conference on Multimedia. Barcelona, Spair: ACM ,2013 :33 -42.
  • 4Oquab M, Bottou L, Laptev I, et al. Learning and transferring mid-level image representations using conv- olutional neural networks [ C ] //J IEEE Conference on Computer Vision and Pattern Recognition. Columbus, OH, United States : IEEE, 2014 : 1717 - 1724.
  • 5Mansoori N S, Nejati M, Razzaghi P, et al. Bag of visual words approach for image retrieval using color information [ C ]//Conference on Electrical Engineer- ing. Mashhad : IEEE, 2013,1 - 6.
  • 6Yoo D, Park C, Choi Y, et al. Intra-class key feature weighting method for vocabulary tree based image re- trieval [ C ]//Proceedings of IEEE Conference on Ubiq- uitous Robots and Ambient Intelligence. Daejeon: IEEE, 2012:517 - 520.
  • 7Xu H, Wang J D, Zeng G,et al. Complementary has- hing for approximate nearest neighbor search [ C ]// Proceedings of IEEE International Conference on Com- puter Vision. Barcelona:IEEE, 2011 : 1631 - 1638.
  • 8Zobel J, Moffat A. Inverted files for text search engines [J]. ACM Computing Surveys, 2006, 38(2) : 6 -10.
  • 9Wang X Y, Yang M, Zhu S H, et al. Contextual weighting for vocabulary tree based image retrieval[ C] //IEEE International Conference on Computer Vision. Barcelona: IEEE,2011 : 209 - 216.
  • 10Ji J Q, Yan S C, Li J M, et al. Batch-orthogonal lo- cality-sensitive hashing for angular similarity [ J ]. IEEE Transactions on Pattern Analysis and Machine In- telligence,2014,36(10) : 1963 - 1974.

引证文献2

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部