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- W3001284768 abstract "With the wide application of mobile Internet techniques an location-based services (LBS), massive multimedia data with geo-tags has been generated and collected. In this paper, we investigate a novel type of spatial query problem, named reverse spatial visual top-k query (RSVQk) that aims to retrieve a set of geo-images that have the query as one of the most relevant geo-images in both geographical proximity and visual similarity. Existing approaches for reverse top-k queries are not suitable to address this problem because they cannot effectively process unstructured data, such as image. To this end, firstly we propose the definition of RSVQ <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>k</sub> problem and introduce the similarity measurement. A novel hybrid index, named VR <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sup> -Tree is designed, which is a combination of visual representation of geo-image and R-Tree. Besides, an extension of VR <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sup> -Tree, called CVR <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sup> -Tree is introduced and then we discuss the calculation of lower/upper bound, and then propose the optimization technique via CVR <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sup> -Tree for further pruning. In addition, a search algorithm named RSVQk algorithm is developed to support the efficient RSVQ <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>k</sub> query. Comprehensive experiments are conducted on four geo-image datasets, and the results illustrate that our approach can address the RSVQk problem effectively and efficiently." @default.
- W3001284768 created "2020-01-30" @default.
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- W3001284768 date "2020-01-01" @default.
- W3001284768 modified "2023-10-17" @default.
- W3001284768 title "Reverse Spatial Visual Top-$k$ Query" @default.
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- W3001284768 doi "https://doi.org/10.1109/access.2020.2968982" @default.
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