DeepDiary: Automatic Caption Generation for Lifelogging Image Streams
This addresses the challenge for lifelogging camera users in browsing and organizing extensive image data, though it is incremental.
The paper tackled the problem of managing large lifelogging image collections by proposing automatic captioning algorithms using deep learning, with results suggesting they may help users organize photos effectively.
Lifelogging cameras capture everyday life from a first-person perspective, but generate so much data that it is hard for users to browse and organize their image collections effectively. In this paper, we propose to use automatic image captioning algorithms to generate textual representations of these collections. We develop and explore novel techniques based on deep learning to generate captions for both individual images and image streams, using temporal consistency constraints to create summaries that are both more compact and less noisy. We evaluate our techniques with quantitative and qualitative results, and apply captioning to an image retrieval application for finding potentially private images. Our results suggest that our automatic captioning algorithms, while imperfect, may work well enough to help users manage lifelogging photo collections.