Using a game to evaluate image retrieval, organization, and annotation

Methods of retrieving images that incorporate humangenerated metadata, such as keyword annotation and collaborative filtering, are less vulnerable to the semantic gap than content-based image retrieval. However, generating such metadata is time-consuming, expensive, and difficult to evaluate. This paper discusses an interface for image retrieval that is able to simultaneously compose queries based on contentbased features, keywords, and collaborative relations. We propose using a game metaphor to evaluate the system.

• Type: Conference
• Year: 2008
• Where: ICIP
• Authors: Liam M. Mayron, Oge Marques
• Keywords: Collaborative Filtering, Collaborative Relations, Content-based Image Retrieval, Humangenerated Metadata, ICIP 2008, Image Processing