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  • Open Access


    Multimodal Fused Deep Learning Networks for Domain Specific Image Similarity Search

    Umer Waqas, Jesse Wiebe Visser, Hana Choe, Donghun Lee*

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 243-258, 2023, DOI:10.32604/cmc.2023.035716

    Abstract The exponential increase in data over the past few years, particularly in images, has led to more complex content since visual representation became the new norm. E-commerce and similar platforms maintain large image catalogues of their products. In image databases, searching and retrieving similar images is still a challenge, even though several image retrieval techniques have been proposed over the decade. Most of these techniques work well when querying general image databases. However, they often fail in domain-specific image databases, especially for datasets with low intraclass variance. This paper proposes a domain-specific image similarity search… More >

  • Open Access


    Deep Root Memory Optimized Indexing Methodology for Image Search Engines

    R. Karthikeyan1,*, A. Celine Kavida2, P. Suresh3

    Computer Systems Science and Engineering, Vol.40, No.2, pp. 661-672, 2022, DOI:10.32604/csse.2022.018744

    Abstract Digitization has created an abundance of new information sources by altering how pictures are captured. Accessing large image databases from a web portal requires an opted indexing structure instead of reducing the contents of different kinds of databases for quick processing. This approach paves a path toward the increase of efficient image retrieval techniques and numerous research in image indexing involving large image datasets. Image retrieval usually encounters difficulties like a) merging the diverse representations of images and their Indexing, b) the low-level visual characters and semantic characters associated with an image are indirectly proportional,… More >

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