Object retrieval using configurations of salient regions
Weijun Wang, Yupin Luo, Guangrong Tang · 2008
In this paper, we describe an approach for retrieving a ranked list of images containing the same object as the query. Images in the corpus are primitively represented by a set of salient region descriptors so that the retrieval approach can works despite of changes in scale, illumination, and partial occlusion. Based on the sparse frequency vector representation method, we have improved the bag-of-features method to integrate the spatial co-occurrence information into the image representation.