Generating an album with the best media using computer vision

Abstract

Due to the increase in smartphone usage, it became easier to register memorable moments with a more accessible camera. To ensure a nice capture was made, users often take multiple shots from a scene, later filtering them based on some quality criteria. However, sometimes this may be unfeasible to do manually. To address this issue, this work initially defines relevant characteristics present in a good personal picture or video. We then show how to automatically search for these aspects using computer vision algorithms, successfully assessing personal media based on these aspects. Moreover, we show that it was possible to use this proposed solution in a real-world application, improving the generation of a personal album containing the best pictures and videos.