Phorec: Context-Aware Photography Support System based on Social Data Analysis

Nuttapoom Amornpashara, Yutaka Arakawa, Morihiko Tamai, Keiichi Yasumoto

Research output: Contribution to journalArticle

1 Citation (Scopus)

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.

Original languageEnglish
Pages (from-to)373-380
Number of pages8
JournalJournal of information processing
Volume23
Issue number3
DOIs
Publication statusPublished - Jan 1 2015
Externally publishedYes

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All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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