• DocumentCode
    3672244
  • Title

    Query-adaptive late fusion for image search and person re-identification

  • Author

    Liang Zheng;Shengjin Wang;Lu Tian; Fei He;Ziqiong Liu;Qi Tian

  • Author_Institution
    State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing 100084, China
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    1741
  • Lastpage
    1750
  • Abstract
    Feature fusion has been proven effective [35, 36] in image search. Typically, it is assumed that the to-be-fused heterogeneous features work well by themselves for the query. However, in a more realistic situation, one does not know in advance whether a feature is effective or not for a given query. As a result, it is of great importance to identify feature effectiveness in a query-adaptive manner.
  • Keywords
    "Databases","Accuracy","Sensitivity","Robustness","Pipelines","Image color analysis","Feature extraction"
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2015.7298783
  • Filename
    7298783
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3672244