Title :
Learning to Rerank Web Images
Author :
Linjun Yang ; Hanjalic, Alan
Abstract :
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.
Keywords :
image retrieval; search engines; Web image search reranking; mathematical formulation; search engine; Algorithm design and analysis; Information retrieval; Mathematical model; Search engines; Search methods; Search problems; Visualization; Algorithm design and analysis; Information retrieval; Mathematical model; Search engines; Search methods; Search problems; Visualization; Web technology; image search; multimedia; multimedia applications; search engine architecture; search reranking;
Journal_Title :
MultiMedia, IEEE
DOI :
10.1109/MMUL.2012.30
