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Visual Location Recognition Using Time-Series Streetview Database  

Park, Chun-Su (Computer Education, Sungkyunkwan University)
Choeh, Joon-Yeon (Software, Sejong University)
Publication Information
Journal of the Semiconductor & Display Technology / v.18, no.4, 2019 , pp. 57-61 More about this Journal
Abstract
Nowadays, portable digital cameras such as smart phone cameras are being popularly used for entertainment and visual information recording. Given a database of geo-tagged images, a visual location recognition system can determine the place depicted in a query photo. One of the most common visual location recognition approaches is the bag-of-words method where local image features are clustered into visual words. In this paper, we propose a new bag-of-words-based visual location recognition algorithm using time-series streetview database. The proposed algorithm selects only a small subset of image features which will be used in image retrieval process. By reducing the number of features to be used, the proposed algorithm can reduce the memory requirement of the image database and accelerate the retrieval process.
Keywords
Visual location recognition; Bag-of-words; Geo-tag; Image retrieval; Common keypoints;
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