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    » Feature selection for content-based image retrieval
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    MVA
    2000
    203views Computer Vision» more  MVA 2000»
    An Environment to Test Progressive Refinement of Indexing for Content-Based Image Retrieval
    13 years 7 months ago
    An Environment to Test Progressive Refinement of Indexing for Content-Based Image Retrieval
    Download  b2.cvl.iis.u-tokyo.ac.jp
    Content-based image retrieval is a fairly new discipline. Yet research in this field has highlighted many approaches that show good performance in specific subproblems using singl...
    Maria Grazia Albanesi, Marco Ferretti, Alessandro ...
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    VISUAL
    2000
    Springer
    143views Information Technology» more  VISUAL 2000»
    Shape Description for Content-Based Image Retrieval
    13 years 9 months ago
    Shape Description for Content-Based Image Retrieval
    Download  www.csai.unipa.it
    Abstract. The present work is focused on a global image characterization based on a description of the 2D displacements of the different shapes present in the image, which can be e...
    Edoardo Ardizzone, Antonio Chella, Roberto Pirrone
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    CAIP
    1999
    Springer
    139views Image Analysis» more  CAIP 1999»
    Image Retrieval System Based on Machine Learning and Using Color Features
    13 years 10 months ago
    Image Retrieval System Based on Machine Learning and Using Color Features
    Download  eprints.fri.uni-lj.si
    We describe an interactive system for content based image retrieval. The system presents the user with 15 randomly selected images from the database. The user grades the images wit...
    Janez Demsar, Dragan Radolovic, Franc Solina
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    ICIP
    2010
    IEEE
    209views Image Processing» more  ICIP 2010»
    Image retrieval with feature selection and relevance feedback
    13 years 4 months ago
    Image retrieval with feature selection and relevance feedback
    Download  vislab.ucr.edu
    This paper proposes a new content based image retrieval (CBIR) system combined with relevance feedback and the online feature selection procedures. A measure of inconsistency from...
    Yu Sun, Bir Bhanu
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    ICIP
    1997
    IEEE
    174views Image Processing» more  ICIP 1997»
    Deriving Texture Feature Set for Content-Based Retrieval of Satellite Image Database
    14 years 7 months ago
    Deriving Texture Feature Set for Content-Based Retrieval of Satellite Image Database
    Download  www.doc.ic.ac.uk
    Chung-Sheng Li, Vittorio Castelli
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