Image Searching and Browsing by Active Aspect-Based Relevance Learning

Aspect-based relevance learning is a relevance feedback scheme based on a natural model of relevance in terms of image aspects. In this paper we propose a number of active learning and interaction strategies, capitalizing on the transparency of the aspect-based framework. Additionally, we demonstrate that, relative to other schemes, aspect-based relevance learning upholds its retrieval performance well under feedback consisting mainly of example images that are only partially relevant.

• Type: Conference
• Year: 2006
• Where: CIVR
• Authors: Mark J. Huiskes
• Keywords: Active Learning, Aspect-based Relevance Learning, CIVR 2006, Image Analysis, Relevance Feedback Scheme