Understanding the Photo-shooting Patterns of Sightseeing
Pages 36 - 41
Abstract
In this paper, we investigate whether photographers' preference in shooting patterns could be a reliable index to represent the sightseeing value of a travel spot. To this end, we collected 30k geotagged images from 30 scenic spots over 4 continents. First, an effective framework based on convolution neural network (CNN) is proposed to establish the photographer's preferred shooting patterns (wide- or narrow-angle) inferred from a single photo. Subsequently, our statistical results reveal that the ratio of photo-shooting patterns at a spot strongly correlates with its sightseeing value. The results suggest that photographers prefer to take wide-angle photos at the spot with high value, which also accords to the notion in positive psychology - "positive emotions broaden the scope of attention". In addition, we mapped the spatial distribution of photographers' shooting patterns to find out common regions of interests within a spot and discuss the potential applications that could arise from our study.
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Published In
July 2019
280 pages
ISBN:9781450371414
DOI:10.1145/3352411
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- The Hong Kong Polytechnic: The Hong Kong Polytechnic University
- Natl University of Singapore: National University of Singapore
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Association for Computing Machinery
New York, NY, United States
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Published: 19 July 2019
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DSIT 2019
DSIT 2019: 2019 2nd International Conference on Data Science and Information Technology
July 19 - 21, 2019
Seoul, Republic of Korea
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DSIT 2019 Paper Acceptance Rate 43 of 95 submissions, 45%;
Overall Acceptance Rate 114 of 277 submissions, 41%
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