Image Categorization Based on a Hierarchical Spatial Markov Model
作者： Lihua Wang , Zhiwu Lu , Horace H. S. Ip
DOI: 10.1007/978-3-642-03767-2_93
关键词:
摘要: In this paper, we propose a Hierarchical Spatial Markov Model (HSMM) for image categorization. We adopt the Bag-of-Words (BoW) model to represent features with visual words, thus avoiding heavy work of manual annotation in most based approaches. Our HSMM is designed describe spatial relations these words by modeling distribution transitions between adjacent over each category. A novel idea semantic hierarchy exerted composition relationship at level. Experiments demonstrate that our approach outperforms Bayesian hierarchical categorization 12.5% and it also performs better than previous 11.8% on average.
harvard.edu
springer.com
sci-hub.se 参考文章(17)
David J. Crandall, Daniel P. Huttenlocher, Weakly supervised learning of part-based spatial models for visual object recognition european conference on computer vision. pp. 16- 29 ,(2006) , 10.1007/11744023_2
Anna Bosch, Andrew Zisserman, Xavier Muñoz, Scene Classification Via pLSA Computer Vision – ECCV 2006. pp. 517- 530 ,(2006) , 10.1007/11744085_40
Shai Fine, Yoram Singer, Naftali Tishby, The Hierarchical Hidden Markov Model: Analysis and Applications Machine Learning. ,vol. 32, pp. 41- 62 ,(1998) , 10.1023/A:1007469218079
Feiyang Yu, Horace S Ip, Automatic Semantic Annotation of Images using Spatial Hidden Markov Model international conference on multimedia and expo. pp. 305- 308 ,(2006) , 10.1109/ICME.2006.262459
Alessandro Perina, Marco Cristani, Vittorio Murino, None, Natural scenes categorization by hierarchical extraction of typicality patterns international conference on image analysis and processing. pp. 801- 806 ,(2007) , 10.1109/ICIAP.2007.93
Michael Shapiro, Charles Addison Bouman, Calvin F Bagley, CONSTRUCTION ENGINEERING RESEARCH LAB (ARMY) CHAMPAIGN IL, None, A multiscale random field model for Bayesian image segmentation IEEE Transactions on Image Processing. ,vol. 3, pp. 162- 177 ,(1994) , 10.1109/83.277898
Fei-Fei Li, P. Perona, A Bayesian hierarchical model for learning natural scene categories computer vision and pattern recognition. ,vol. 2, pp. 524- 531 ,(2005) , 10.1109/CVPR.2005.16
Erik B. Sudderth, Alan S. Willsky, William T. Freeman, Antonio Torralba, Describing Visual Scenes using Transformed Dirichlet Processes neural information processing systems. ,vol. 18, pp. 1297- 1304 ,(2005)
Feiyang Yu, Horace H.S. Ip, Semantic content analysis and annotation of histological images Computers in Biology and Medicine. ,vol. 38, pp. 635- 649 ,(2008) , 10.1016/J.COMPBIOMED.2008.02.004
Mark A. Paskin, Kevin P. Murphy, Linear-time inference in Hierarchical HMMs neural information processing systems. ,vol. 14, pp. 833- 840 ,(2001)