An Exploration Tool for Retrieval of Travel Information with Personal Photos
Risa Kitamura, Takayuki Itoh

TL;DR
This paper presents an interactive exploration tool that uses personal travel photos and object recognition to help users discover travel information related to their interests, supported by keyword trees and user evaluations.
Contribution
It introduces a novel interactive mechanism for travel info retrieval based on personal photos and keyword trees, enhancing personalized travel exploration.
Findings
Effective keyword extraction from personal photos.
Positive user evaluations of the exploration system.
Demonstrated usefulness of the keyword tree structure.
Abstract
Photos can be treated as life logs of photo owners. Photos can be reliable information to estimate patterns of actions and movements of the owners. Based on this discussion, we are developing an interactive technique to explore the recommended tourist spots based on their past personal travel photos. The technique extracts a set of keywords from the photo set applying a generic object recognition and constructs a tree structure to support the exploration of the keywords. When a user selects a set of interesting keywords, the system provides travel information related to the selected keywords. Our previous paper already introduced the visualizations that demonstrate the appropriateness of the structure of the keywords. This paper focuses on the mechanism for interactive travel information retrieval of our system and user evaluations with this system.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Image and Video Retrieval Techniques · Web Data Mining and Analysis · Image Retrieval and Classification Techniques
