Phorec: Context-Aware Photography Support System Based on Social Data Analysis (Preprint)

Amornpashara Nuttapoom, Arakawa Yutaka, Tamai Morihiko, Yasumoto Keiichi

Research output: Contribution to journalArticlepeer-review

Abstract

In the world of digital photography, it is widely known that general contexts including location, date, time, weather condition, composition, and camera setting, obviously affect quality of photos. In this paper, we analyzed the crowdsourced big data on the social network for photographers and extracted the rich photographic information in order to assist photographers to take beautiful photos. Our developed system is composed of server-side system and mobile application. The server-side system suggests good photos which are relevant to the contexts. The sophisticated iOS application was developed to collect the contexts and exhibit the result. The user's satisfaction in Phorec were measured through subjective evaluations. The result reflected that recommended photography settings are important and can fulfil user's desire.------------------------------This is a preprint of an article intended for publication Journal ofInformation Processing(JIP). This preprint should not be cited. Thisarticle should be cited as: Journal of Information Processing Vol.23(2015) No.3 (online)------------------------------
Original languageEnglish
JournalIPSJ transactions
Volume5
Issue number2
Publication statusPublished - Mar 27 2015

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