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In this study, we propose a new representation method for multidimensional color images, called an n-qubit normal arbitrary superposition state (NASS), where n qubits represent the colors and coordinates of 2n pixels (e.g., a three-dimensional color image of 1024×1024×1024 using only 30 qubits). Based on NASS, we present an (n+1)-qubit normal arbitrary superposition state with relative phases (NASSRP)...
In order to overcome """"semantic gap"""" between bottom features and high-level semantic in the image retrieval, this paper introduces the echo state network to strengthen the mapping between the high-level vision content and the bottom visual feature and designs a feedback category screening strategy. We extract the feature of the queried image and get the...
Content-based image retrieval often uses the integration of various features. The characteristic dimensions are up to hundreds of dimensions. The capabilities for image representation", "storage", " management far exceed that of the database. Retrieval and matching of large-scale image are the urgent problems which need to be solved. To solve the construction of image indexing...
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