Phorec: Context-Aware Photography Support System
Amornpashara Nuttapoom (1351115)
Digital Single Lens Reflect (DSLR) and Mirrorless cameras have become smart and handy, recently. However achieving outstanding photos is not easy for beginners because of numerous involved contexts and settings. Among photographers, it is widely known that general contexts including location, date, time, weather condition, composition, and camera setting, dramatically affect quality of photos. In this thesis, I analyze the crowdsourced big data on the social network for photographers to extract the rich photographic information for assisting photographers to take good photos. Concerning contexts including location, time, season, weather condition and camera setting are used for ranking the relevant photos. Special camera settings are extracted from each photo to point out the important parameters. A developed server-side system processes the huge data and provides a suggestion of good photos with a special camera setting annotation which are relevant to the contexts. A sophisticated iOS application named ``¥textit{Phorec}" was developed to collect the contexts and exhibit the result. The importance of the concerning photography contexts, user’s satisfaction, and usefulness of the system were verified and measured through subjective evaluations. The result reflects that recommendations in the developed system are significant and can help users take better photos.