Dynamic Term Weighting for Personal Photo Retrieval

Personal photo retrieval is different from many search tasks in that all the targets are either known to the user, or they are about something the owner has seen. For this reason, generating queries for searching personal photos will more likely rely on an individual’s memory. In a pilot study of Personal file re-finding, the results suggested a change of retrieval efficiency over time for different types of queries due to recall reliability. While auto-annotating of the photos with contextual information, we are seeking to develop a query weighting strategy, which takes the recall reliability into account, and give feedback to the user based on the searching queries to improve the searching efficiency.