A novel image region division is proposed to roughly mimic the location distribution of image color and deal with the color histogram failing to describe ...
Abstract: In this paper, we focus on the problem of image feature extraction and similarity measure using region division search.
Jan 10, 2018 · We propose a promising method of geometric verification to improve the precision of Bag-of-Words (BoW) model in image retrieval.
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This paper describes a region-based technique for fusion of high-resolution images. In this technique, mean shift segmentation is adopted to extract the ...
The approach in study [1] presents a comprehensive dataset for multi-attribute image retrieval, called a-TRECVID, comprising 126 fully labeled query attributes ...
We propose an attentive local feature descriptor suitable for large-scale image retrieval, referred to as DELF (DEep. Local Feature).
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Feb 7, 2018 · This study proposes a novel algorithm that enhances the distinctiveness of the traditional vector of locally aggregated descriptors (VLAD) ...
In this work, we present a statistical framework for large-scale image retrieval that unifies key point quantization and image matching by introducing kernel ...
Jun 6, 2020 · We propose to self-supervise image-to-region similarities in order to fully explore the potential of difficult positive images alongside their sub-regions.
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We explore the application of LDA models for content based image retrieval and judge its suitability by user studies on a real world, large-scale database with ...
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