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BoSS: image retrieval using bag-of-superpixels signatures (2018)

  • Authors:
  • USP affiliated authors: TRAINA JUNIOR, CAETANO - ICMC ; TRAINA, AGMA JUCI MACHADO - ICMC
  • Unidade: ICMC
  • DOI: 10.1145/3167132.3167374
  • Subjects: BANCO DE DADOS MULTIMÍDIA; RECUPERAÇÃO DA INFORMAÇÃO; RECONHECIMENTO DE IMAGEM
  • Keywords: Bag-of-visual-words; image retrieval; visual signature
  • Language: Inglês
  • Imprenta:
  • Source:
  • Conference titles: Symposium on Applied Computing - SAC
  • Acesso à fonteDOI
    Informações sobre o DOI: 10.1145/3167132.3167374 (Fonte: oaDOI API)
    • Este periódico é de assinatura
    • Este artigo NÃO é de acesso aberto
    • Cor do Acesso Aberto: closed

    How to cite
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    • ABNT

      CHINO, Daniel Y. T; SCABORA, Lucas C; TRAINA JUNIOR, Caetano; TRAINA, Agma Juci Machado. BoSS: image retrieval using bag-of-superpixels signatures. Anais.. New York: ACM, 2018.Disponível em: DOI: 10.1145/3167132.3167374.
    • APA

      Chino, D. Y. T., Scabora, L. C., Traina Junior, C., & Traina, A. J. M. (2018). BoSS: image retrieval using bag-of-superpixels signatures. In Proceedings. New York: ACM. doi:10.1145/3167132.3167374
    • NLM

      Chino DYT, Scabora LC, Traina Junior C, Traina AJM. BoSS: image retrieval using bag-of-superpixels signatures [Internet]. Proceedings. 2018 ;Available from: http://dx.doi.org/10.1145/3167132.3167374
    • Vancouver

      Chino DYT, Scabora LC, Traina Junior C, Traina AJM. BoSS: image retrieval using bag-of-superpixels signatures [Internet]. Proceedings. 2018 ;Available from: http://dx.doi.org/10.1145/3167132.3167374

    Referências citadas na obra
    R. Achanta, A. Shaji, K. Smith, A. Lucchi, P. Fua, and S. Susstrunk. 2012. SLIC superpixels compared to state-of-the-art superpixel methods.IEEE TPAMI34, 11 (2012), 2274--2282.
    M. Aly, P. Welinder, M. E. Munich, and P. Perona. 2009. Towards automated large scale discovery of image families. InIEEE CVPR.9--16.
    D. Arthur and S. Vassilvitskii. 2007. K-means++: The Advantages of Careful Seeding. InACM-SIAM SODA.1027--1035.
    D. Barbara and P. Chen. 2009. Fractal mining-self similarity-based clustering and its applications. InDMKD Handbook.Springer, 573--589.
    M. V. N. Bedo, G. Blanco, W.D. Oliveira, M. T. Cazzolato, A.F. Costa, J.F. Rodrigues Jr., A. J. M. Traina, and C. Traina Jr. 2015. Techniques for Effective and Efficient Fire Detection from Social Media Images. InICEIS.34--45.
    C. Caetano, S. Avila, S. Guimarães, and A. de A. Araújo. 2014. Representing Local Binary Descriptors with BossaNova for Visual Recognition. InACM SAC.49--54.
    P. Devineni, D. Koutra, M. Faloutsos, and C. Faloutsos. 2015. If walls could talk: Patterns and anomalies in Facebook wallposts. InIEEE/ACM ASONAM.367--374.
    J. M. dos Santos, E. S. de Moura, A. S. da Silva, J. M. B. Cavalcanti, R. da S. Torres, and M. L. A. Vidal. 2015. A signature-based bag of visual words method for image indexing and search.Pattern Recognition Letters65 (2015), 1--7.
    J. M. dos Santos, E. S. de Moura, A. S. da Silva, and R. da S. Torres. 2017. Color and texture applied to a signature-based bag of visual words method for image retrieval.MTA76, 15 (2017), 16855--16872.
    J. Feng, X. Liu, Y. Dong, L. Liang, and J. Pu. 2017. Structural difference histogram representation for texture image classification.IET Img Proc.11, 2 (2017), 118--125.
    A. C. Fraideinberze, J. F. Rodrigues, and R. L. F. Cordeiro. 2016. Effective and Unsupervised Fractal-Based Feature Selection for Very Large Datasets: Removing Linear and Non-linear Attribute Correlations. InIEEE ICDMW.615--622.
    H. Jegou, M. Douze, and C. Schmid. 2008. Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search. InECCV.304--317.
    M. Juneja, A. Vedaldi, C. V. Jawahar, and A. Zisserman. 2013. Blocks that shout: Distinctive parts for scene classification. InIEEE CVPR.923--930.
    S. Lazebnik, C. Schmid, and J. Ponce. 2005. A Sparse Texture Representation Using Local Affine Regions.IEEE TPAMI27, 8 (2005), 1265--1278.
    Z. Li,X. M. Wu, andS. F. Chang. 2012. Segmentation using superpixels: A bipartite graph partitioning approach. InCVPR.789--796.
    M. Schroeder. 2012.Fractals, chaos, power laws: Minutes from an infinite paradise.Dover Publications, Incorporated.
    D. Sculley. 2010. Web-scale K-means Clustering. InWWW.1177--1178.
    J. Sivic and A. Zisserman. 2003. Video Google: A Text Retrieval Approach to Object Matching in Videos. InICCV.1470--1477.
    C. Traina Jr., A. J. M. Traina, and C. Faloutsos. 2010. Fast Feature Selection using Fractal Dimension - Ten Years Later.JIDM1, 1 (2010), 17--20.
    J. Z. Wang, J. Li, and G. Wiederhold. 2001. SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries.IEEE TPAMI23, 9 (2001), 947--963.
    K. Wang, L. Yang, G. Yang, X. Luo, K. Su, and Y. Yin. 2017. Finger Vein Image Retrieval via Coding Scale-varied Superpixel Feature. InICMR.375--382.
    J. Yang, Y. G. Jiang, A. G. Hauptmann, and C. W. Ngo. 2007. Evaluating bag-of-visual-words representations in scene classification. InACM SIGMM MIR.197--206.
    J. Zeng, J. Duan, W. Cao, and C. Wu. 2012. Topics modeling based on selective Zipf distribution.Expert Syst. Appl.39, 7 (2012), 6541--6546.
    C. Zhang, Z. Ni, L. Ni, and N. Tang. 2016. Feature selection method based on multi-fractal dimension and harmony search algorithm and its application.IJSS47, 14 (2016), 3476--3486.
    R. Zhang, M. Zhou, X. Gong, X. He, W. Qian, S. Qin, and A. Zhou. 2015. Detecting anomaly in data streams by fractal model.WWW18, 5 (01 Sep 2015), 1419--1441.

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