Query by Example: Concepts

Once the Shared Perspectives are available for every item, if a user wanted to execute a SQL query on them, he would need to know exactly the perceptual features available for query, as well as the values they are looking for. Given that extraction methods can result in any number of perceptual tuples, some of them with implicit features, such SQL query is not feasible. A similar situation exists in multimedia databases, where items are also represented with tuples of low level features. Instead of a SQL query, the user can provide an item with a high-level representation that resemble what they are looking for in a QBE: they can give the system an image of a tree on a hill to get a visually similar one back. We propose to use this approach for experience items, where the user can provide a movie with a nice story that follows the book, and get similar movies based on that perception.