Capturing a Great Photo via Learning from Community-Contributed Photo Collections

摘要

We present a novel system, named Photo Reference, to help users, especially amateur photographers, to interactively learn to improve photograph skills by leveraging the available web image collections. The idea behind is based on the observation that the quality of a photo is mainly determined with the important camera parameters set by users when the photo is taken. In the proposed system, given a user-provided photo and its associated metadata, the system first retrieves sets of high-quality community-contributed photos with similar visual content and shoot settings to the input photo. Then users are allowed to interactively explore the returned photos as per different camera parameters, such that they can easily share and learn the photograph experiences of other people; and more importantly, users are able to get intuitive knowledge on the relationship between camera parameters and the resulted shooting effects and thus can use it to guide their future photograph activities.