Overview of Large-scale Image Retrieval

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Material used in the lecture on large-scale image retrieval presented to the Visual Pattern Recognition class on Dec/2/2015.


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Papers

  • Wang, Jingdong, Heng Tao Shen, Jingkuan Song, and Jianqiu Ji.
    Hashing for similarity search: A survey.
    arXiv preprint arXiv:1408.2927 (2014).
  • Gong, Yunchao, and Svetlana Lazebnik.
    Iterative quantization: A procrustean approach to learning binary codes.
    In Computer Vision and Pattern Recognition (CVPR), 2011 Conference on, pp. 817-824. IEEE, 2011.
  • Datar, Mayur, Nicole Immorlica, Piotr Indyk, and Vahab S. Mirrokni.
    Locality-sensitive hashing scheme based on p-stable distributions.
    In Proceedings of the twentieth annual symposium on Computational geometry, pp. 253-262. ACM, 2004.
  • Jegou, Herve, Matthijs Douze, and Cordelia Schmid.
    Product quantization for nearest neighbor search.
    Pattern Analysis and Machine Intelligence, IEEE Transactions on 33, no. 1 (2011): 117-128.
  • Santos Jr, Cassio E., Ewa Kijak, Guillaume Gravier, and William Robson Schwartz.
    Learning to hash faces using large feature vectors.
    In Content-Based Multimedia Indexing (CBMI), 2015 13th International Workshop on, pp. 1-6. IEEE, 2015.