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  1. No Access

    Chapter and Conference Paper

    Distributed Deep Learning for Content-Based Image Retrieval

    In content-based image retrieval (CBIR), the main objective is to obtain the best possible feature of an image. Traditionally, color, texture and shape were used to extract the features of image. But as the de...

    U. S. N. Raju, Debanjan Pathak, Harika Ala… in Machine Learning, Image Processing, Networ… (2023)

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    Chapter and Conference Paper

    Content-Based Image Retrieval Using Energy-Based Frequency Domain Features

    Content-Based Image Retrieval (CBIR) has become one of the trending areas of research in computer vision. In traditional CBIR, the features in a spatial domain, such as color, texture, shape, and point feature...

    Hillol Barman, Netalkar Rohan Kishor… in Advanced Computing and Intelligent Technol… (2022)

  3. No Access

    Chapter and Conference Paper

    Content-Based Image Retrieval Using Statistical Color Occurrence Feature on Multiresolution Dataset

    In modern life, the increasing use of different image-taking devices made image acquisition no longer a difficult task. To access a huge quantity of images having different resolutions stored in the dataset, t...

    Debanjan Pathak, U. S. N. Raju, Sukhdev Singh… in Evolution in Computational Intelligence (2021)