Learning to Rerank Web Images
Linjun Yang, Alan Hanjalić · IEEE Multimedia · 2012
This article reviews recent advancements in developing approaches to Web image search reranking. The authors provide a categorization of related theories and algorithms and include a mathematical formulation, analysis, and discussion per category. They highlight the limitations of the existing approaches and make recommendations on what they believe to be the most critical research directions to improve the efficiency, effectiveness, and overall utility of Web image search reranking technology.