Abstract
Media management applications such as photo libraries enable users to organize their photos and videos around various themes, search their content, retrieve historical media, share media content with others, etc. Over a substantial time period, such applications act as a repository for the user’s dominant capture context. However, current media management applications provide a static user interface that does not adapt to the user’s capture context. This disclosure describes techniques that, with user permission, automatically detect a dominant context for media capture and automatically adapt a media management application to the detected context. The context is determined by analyzing captured media as well as associated metadata and other contextual information obtained with user permission. For example, such analysis can indicate various use contexts such as clustering media representing a rapidly growing subject (e.g., a puppy) or a recurring sequential event (e.g., marathon training). The media management application can then automatically provide useful features such as timely reminders to capture media, highlights of important stages within the context, etc. The described techniques provide a level of personalization that improves the utility of media management applications.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Goyal, Ashwin and Staubach, Nicholas James, "Adapting Media Management Applications to Macro-level User Context", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10840