LIU Jie, DU Junping, WANG Xiaoru. Research on the Robust Image Representation Scheme for Natural Scene Categorization[J]. Chinese Journal of Electronics, 2013, 22(2): 341-346.
Citation: LIU Jie, DU Junping, WANG Xiaoru. Research on the Robust Image Representation Scheme for Natural Scene Categorization[J]. Chinese Journal of Electronics, 2013, 22(2): 341-346.

Research on the Robust Image Representation Scheme for Natural Scene Categorization

Funds:  This work is supported by the National Basic Research Program of China (973 Program) (No.2012CB821200, No.2012CB821206), the National Natural Science Foundation of China (No.91024001, No.61070142), and Beijing Natural Science Foundation (No.4111002).
  • Received Date: 2011-12-01
  • Rev Recd Date: 2012-04-01
  • Publish Date: 2013-04-25
  • Natural scene categorization is a challenging pattern classification problem and the image representation has deep impact on the classification performance. To improve the robustness and effectiveness of the image representation, a novel integrated scheme is proposed. Firstly, a feature combination method is adopted to generate a compound feature which contains the local texture and the spatial structure information for each image. Then an optimized dimensionality reduction algorithm is applied on the compound features to get lower dimensional and compressed feature representations. In the following, the dimensionality reduced features are clustered by a k-means based adaptive clustering algorithmto form a proper visual codebook, and each image is represented by the codebook histogram. Finally, the support vector machine is exploited to do the scene categorization tasks using the robust image representations. The proposed scheme is sufficiently evaluated on three well-known scene datasets. The experimental results show that our proposed method effectively enhances the image representation and outperforms the state-of-the-art approaches.
  • loading
  • L. Feifei, P. Perona, "A Bayesian hierarchical model for learning natural scene categories", Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Diego, USA, pp.524-531, 2005.
    S. Lazebnik, C. Schmid and J. Ponce, "Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories", Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, New York, USA, pp.2169-2178, 2006.
    A. Bosch, A. Zisserman and X. Munoz, "Scene classification using a hybrid generative/discriminative approach", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.30,No.4, pp.712-727, 2008.
    Guo Lijun, Zhao Jieyu, Shi Zhongzhi, "Image categorization of integrated generative models and discriminative methods", Acta Electronica Sinica, Vol.38, No.5, pp.1141-1145, 2010. (in Chinese)
    D. Lowe, "Distinctive image features from scale-invariant keypoints", International Journal of Computer Vision, Vol.60, No.2, pp.91-110, 2004.
    Herbert Bay, Andreas Eelaars and Luc Van Gool, "Speed-up robust features (SURF)", Computer Vision and Image Understanding, Vol.110, No.3, pp.346-359, 2008.
    Yue Jiang, Runshen Wang and Peng Zhang, "Texture description based on multiresolution moments of image histograms", Optical Engineering, Vol.47, No.3, 037005, 2008.
    Li Junbao, Yu Longjiang and Sun Shenghe, "Refined kernel principal component analysis based feature extraction", Chinese Journal of Electronics, Vol.20, No.3, pp.467-470, 2011.
    S.T. Roweis and L.K. Saul, "Nonlinear dimensionality reduction by locally linear embedding", Science, Vol.290, pp.2323-2326, 2000.
    Bingyu Sun, Xiaoming Zhang, Jiuyong Li, Xuemin Mao, "Feature fusion using locally linear embedding for classification", IEEE Transactions on Neural Networks, Vol.21, No.1, pp.163- 168, 2010.
    Shiqing Zhang, "Enhanced supervised locally linear embedding", Pattern Recognition Letters, Vol.30, No.13, pp.1208- 1218, 2009.
    Zhe Wang, Guizhong Liu, Xueming Qian, Danping Guo, "An approach to the compact and efficient visual codebook based on SIFT descriptor", Lecture Notes in Computer Science, Vol.6297, pp.461-469, 2010.
    Darui Li, Linjun Yang, Xiansheng Hua, Hongjiang Zhang, "Large-scale robust visual codebook construction", Proc. of International Conference on Multimedia, Firenze, Italy, pp.1183- 1186, 2010.
    Xie Wenjie, Xu De, Tang Yingjun, Liu Shuoyan and Feng Songhe, "Mutual information based codebooks construction for natural scene categorization", Chinese Journal of Electronics, Vol.20, No.3, pp.419-424, 2011.
    Luo Juan and Oubong Gwun, "A comparison of SIFT, PCASIFT and SURF", International Journal of Image Processing, Vol.3, No.4, pp.143-152, 2010.
    Yue Jiang, Runsheng Wang, "Scene classification based on a multi-feature extended pLSA model", Signal Processing, Vol.26, No.4, pp.539-544, 2010. (in Chinese)
    A. Oliva, A. Torralba, "Modeling the shape of the scene: A holistic representation of the spatial envelope", International Journal of Computer Vision, Vol.42, No.3, pp.145-175, 2001.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (438) PDF downloads(1058) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return