In this chapter, we review classical and state of the art Content-Based Image Retrieval algorithms. Techniques on representing and extracting visual features, such as color, shape, and texture, are first presented. Several well-known image retrieval systems using those features are also summarized. Then, two recent trends on image retrieval, namely semantic based methods and local invariant regions based methods, are discussed. We analyze the drawbacks of current approaches and propose directions for future work.
|Title of host publication||Intelligent Multimedia Databases and Information Retrieval|
|Editors||Li Yan, Zongmin Ma|
|Place of Publication||Hershey, PA|
|Number of pages||334|
|Publication status||Published - Sep 2011|