JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2016, Vol. 46 ›› Issue (2): 14-21.doi: 10.6040/j.issn.1672-3961.2.2015.065

Previous Articles     Next Articles

Object classification method based on component pyramid matching

ZHU Jie1,2, WANG Jing1, LIU Fei3, GAO Guandong1, DUAN Qing1   

  1. 1. Department of Information Management, The Central Institute for Correctional Police, Baoding 071000, Heibei, China;
    2. Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China;
    3. Modern Educational Technology Center, The Central Institute for Correctional Police, Baoding 071000, Heibei, China
  • Received:2015-05-16 Online:2016-04-20 Published:2015-05-16

PDF (PC)

631

Abstract: The image representation method based on component pyramid matching(CPM)was proposed, which separated the patches into different levels based on colors. In each level, some colors were selected by the optimal color selection method, then the patches with these selected colors were considered as the foreground components, and the rest of the patches with other colors were considered as the background components. Usually, the foreground components corresponded to some parts of the objects, which could supply weak semantic information for the image representation. Then, the background components were split into the foreground and background components in the next level based on the similar color selection method. The final representation of an image was obtained by concatenating the component histograms in each level. Classification results were presented on Soccer, Flower17 and Flower102 datasets, and the experiments showed that CMP could obtain satisfactory results in these datasets.

Key words: level, image representation, classification, component pyramid matching, color

CLC Number: 

  • TP301
[1] CSURKA G, DANCE CR, FAN LX, et al. Visual categorization with bags of keypoints[C] //Proceedings of the 8th European Conference on Computer Vision. Prague: IEEE, 2004:1-22.
[2] CAO Y, WANG C, LI Z, et al. Spatial-bag-of-features[C] //Proceedings of the 23th IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Francisco: IEEE, 2010:3352-3359.
[3] MORIOKA N, SATOH S. Building compact local pairwise codebook with joint feature space clustering[C] //Proceedings of the 11th European Conference on Computer Vision. Crete: IEEE, 2010:692-705.
[4] SIVIC J, RUSSELL B, EFROS A, et al. Discovering objects and their location in images[C] //Proceedings of the 10th International Conference on Computer Vision. Beijing:IEEE, 2005:370-377.
[5] GRAUMAN K, DARRELL T. The pyramid match kernel: Discriminative classification with sets of image features[C] //Proceedings of the 10th International Conference on Computer Vision. Beijing: IEEE, 2005:1458-1465.
[6] LAZEBNIK S, SCHMID C, PONCE J. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories[C] //Proceedings of the 19th IEEE Computer Society Conference on Computer Vision and Pattern Recognition. New York:IEEE, 2006:2169-2178.
[7] YANG J, YU K, GONG Y, et al. Linear spatial pyramid matching using sparse coding for image classification [C] //Proceedings of the 22th IEEE Computer Society Conference on Computer Vision and Pattern Recognition.Florida: IEEE, 2009:1794-1801.
[8] LI F, CARREIRA J, SMINCHISESCU C. Object recognition as ranking holistic figure-ground hypotheses[C] //Proceedings of the 23th IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Francisco: IEEE, 2010:1712-1719.
[9] CHEN Q, SONG Z, HUA Y, et al. Hierarchical matching with side information for image classification[C] //Proceedings of the 25th IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Rhode Island: IEEE, 2012:3426-3433.
[10] LI L J, SU H, LIM Y, et al. Object bank: an object-level image representation for high-level visual recognition[J].International Journal of Computer Vision, 2014, 107(1):20-39.
[11] FERNANDO B, FROMONT E, TUYTELAARS T. Mining mid-level features for image classification[J]. International Journal of Computer Vision, 2014, 108(3): 186-203.
[12] LIU J, ZHANG C, TIAN Q, et al. One step beyond bags of features: visual categorization using component[C] //Proceedings of the International Conference on Image Processing. Brussels: IEEE, 2011:2417-2420.
[13] LOWE D G. Object recognition from local scale-invariant features[C] //Proceedings of the 7th International Conference on Computer Vision. Kerkyra:IEEE, 1999: 1150-1157.
[14] VAN-DE-WEIJER J, SCHMID C, VERBEEK J, et al. Learning color names for real-world applications[J].IEEE Transactions on Image Processing, 2009, 18(7):1512-1523.
[15] VAN-DE-WEIJER J, SCHMID C. Coloring local feature extraction[C] //Proceedings of the 9th European Conference on Computer Vision. Graz: IEEE, 2006:334-348.
[16] SHAHBAZ-KHAN F, VAN-DE-WEIJER J, VANRELL M.Top-down color attention for object recognition[C] //Proceedings of the 12th International Conference on Computer Vision. Tokyo: IEEE, 2009:979-986.
[17] NILSBACK M E, ZISSEMAN A. A visual vocabulary for flower classification[C] //Proceedings of the 19th IEEE Computer Society Conference on Computer Vision and Pattern Recognition. New York: IEEE, 2006:1447-1454.
[18] NILSBACK M E, ZISSERMAN A. Automated flower classification over a large number of classes[C] //Proceedings of the 6th Indian Conference on Computer Vision, Graphics and Image Processing. Bhubaneswar: IEEE, 2008:722-729.
[19] FERNANDO B, FROMONT E, MUSELET D, et al. Discriminative feature fusion for image classification[C] //Proceedings of the 25th IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Rhode Island: IEEE, 2012:3434-3441.
[20] GEHLER P, NOWOZIN S. On feature combination for multiclass object classification[C] //Proceedings of the 12th International Conference on Computer Vision. Tokyo:IEEE, 221-228.
[21] YUAN X T, YAN S. Visual classification with multi-task joint sparse representation[C] //Proceedings of the 23th IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Francisco: IEEE, 2010:3493-3500.
[22] YAN F, MIKOLAJCZYK K, BARNARD M, et al. Lp norm multiple kernel fisher discriminant analysis for object and image categorisation[C] //Proceedings of the 23th IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Francisco: IEEE, 2010:3626-3632.
[23] KANAN C, COTTRELL G. Robust classification of objects, faces, and flowers using natural image statistics [C] //Proceedings of the 23th IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Francisco: IEEE, 2010:2472-2479.
[24] CHAI Y, LEMPITSKY V, ZISSERMAN A. BiCoS: A Bi-level Co-Segmentation Method for Image Classification[C] //Proceedings of the 13th International Conference on Computer Vision. Barcelona: IEEE, 2011:2579-2586.
[25] CHAI Y, RAHTU E, RAHTU E, et al. Tricos: A tri-level class-discriminative co-segmentation method for image classification[C] //Proceedings of the 12th European Conference on Computer Vision. Firenze: IEEE, 2012:794-807.
[1] Pu ZHANG,Chang LIU,Yong WANG. Suggestion sentence classification model based on feature fusion and ensemble learning [J]. Journal of Shandong University(Engineering Science), 2018, 48(5): 47-54.
[2] WANG Huan, ZHOU Zhongmei. An over sampling algorithm based on clustering [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(3): 134-139.
[3] YE Mingquan, GAO Lingyun, WAN Chunyuan. Gene expression data classification based on artificial bee colony and SVM [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(3): 10-16.
[4] CAO Ya, DENG Zhaohong, WANG Shitong. An radial basis function neural network model based on monotonic constraints [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(3): 127-133.
[5] XIE Zhifeng, WU Jiaping, MA Lizhuang. Chinese financial news classification method based on convolutional neural network [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(3): 34-39.
[6] WANG Tingting, ZHAI Junhai, ZHANG Mingyang, HAO Pu. K-NN algorithm for big data based on HBase and SimHash [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(3): 54-59.
[7] CHEN Jiajie, WANG Jinfeng. Method for solving Choquet integral model based on ant colony algorithm [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(3): 81-87.
[8] SUN Shuqing, SUN Fengkai, LIANG Shuang, XU Xiaoli. Preparation of an inorganic composite flocculant and its effect on dye wastewater treatment [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(2): 128-133.
[9] WANG Xueqin, LI Shurong, YU Yu, WANG Jiayan. Color image selective segmentation under geometrical constraints [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(2): 22-29.
[10] LI Wei, WANG Zhechao, LI Shucai, DING Wantao, WANG Qi, ZONG Zhi, LIU Keqi. The mechanical properties of the silty clay and the advanced support method in Harbin Metro [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(2): 61-71.
[11] WANG Lei, DENG Xiaogang, CAO Yuping, TIAN Xuemin. Multiblock local Fisher discriminant analysis for chemical process fault classification [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(5): 179-186.
[12] LIU Zhuo, WANG Tianzhen, TANG Tianhao, FENG Yefan, YAO Junqi, GAO Diju. A fault diagnosis and fault-tolerant control strategy for multilevel inverter [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(5): 229-237.
[13] LI Sushu, WANG Shitong, LI Tao. A feature selection method based on LS-SVM and fuzzy supplementary criterion [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(3): 34-42.
[14] HE Qijia, LIU Zhenbing, XU Tao, JIANG Shujie. MR image classification based on LBP and extreme learning machine [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(2): 86-93.
[15] GUO Chao, YANG Yan, JIANG Yongquan, SONG Yi. Condition recognition of high-speed train based on multi-view classification ensemble [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(1): 7-14.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] LI Hui-ping, ZHAO Guo-qun, ZHANG Lei, HE Lian-fang. The development status of hot stamping and quenching of ultra high-strength steel[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2010, 40(3): 69 -74 .
[2] LI Shijin, WANG Shengte, HUANG Leping. Change detection with remote sensing images based on forward-backward heterogenicity[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(3): 1 -9 .
[3] GAO Hou-Lei, TIAN Jia, DU Jiang, WU Zhi-Gang, LIU Chu-Min. Distributed generation—new technology in energy development[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2009, 39(5): 106 -110 .
[4] LONG Zhi-Jian, ZHANG Chang-Qiao. Synthesis and properties of associating DRA by binary copolymerization based on lauryl methacrylate[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2009, 39(5): 128 -132 .
[5] WANG Xue-ping,WANG Deng-jie,SUN Ying-ming*,DONG Lei . Application of the nonprism total station in the detection of a highway bridge[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2007, 37(3): 105 -108 .
[6] CHEN Peng, HU Wen-Rong, FEI Hai-Yan. Screening of a denitrifying bacterium strain LZ-14 and its nitrogen removal characteristics[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2009, 39(5): 133 -138 .
[7] ZHANG Hong-bo, MIAO Hai-tao, SONG Xiu-guang. Constitutive  model  of  silty  sands  for  cumulative  deformation  under  long-term  traffic  loading  and  numerical  integration[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2010, 40(2): 59 -65 .
[8] ZHOU Shaowei. The finite-time stability of stochastic Markov jumping systems[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(2): 78 -84 .
[9] ZHAO Ji-Ceng. Study of full-face curtain grouting on water-burst fault 
F4-4 subsea tunnel in Qingdao Jiaozhou bay[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2009, 39(6): 116 -120 .
[10] ZHAO Guan-lin,ZOU Zeng-da,WANG Xin-Hong,DU Bao-shuai . In situ synthesis of TiC-VC particles reinforced Fe-basedMMC coatings produced by laser cladding[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2008, 38(2): 6 -9 .
Copyright 2018 © Editorial office of Journal of Shandong University (Engineering Science)
Supported by Beijing Magtech Co.Ltd