Unified Hybrid Image Retrieval System with Continuous Relevance Feedback

摘要

In this paper, we present a unified hybrid image retrieval system consisting of the following components: various visual features and their combinations, combination of visual and textual feature spaces, combination of visual and textual feature spaces in the context of search refinement, and interactive user interface with hybrid relevance feedback, exploratory search, query history, relevance bar, and positive and negative results panels. In the paper we also introduce two novel hybrid spinoff models and describe the new continuous relevance feedback framework that allows us to move away from graded relevance and shows the relationships between feedback images.