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论文类型：期刊论文

发表时间：2019-03-01

发表刊物：MULTIMEDIA TOOLS AND APPLICATIONS

收录刊物：SCIE、EI

卷号：78

期号：5

页面范围：6163-6190

ISSN号：1380-7501

关键字：Image retrieval; Bag of features; Diffusion processes

摘要：Feature extraction and its matching are two critical tasks in image retrieval. This paper presents a new methodology for content-based image retrieval by integrating three features, and then optimizing feature metric by diffusion process. To boost the discriminative power, the color histogram, local directional pattern, and dense SIFT features based on bag of features (BoF) are selected. Then diffusion process is applied to seek a global optimization for image matching based on fused multi-features. The diffusion process can capture the intrinsic manifold structure on a dataset, and thus enhance the overall retrieval performance significantly. Finally, a new search strategy is explored to make the diffusion process work even better when the number of retrieval images is small. In order to validate our proposed approach, four benchmark databases are used, and the results of experiments show that the proposed approach outperforms all other existing approaches.