Research on Fast Retrieval Algorithm for Sports Training Target Images

Abstract

Current traditional image retrieval methods achieve image retrieval by matching a single feature of an image, which leads to poor retrieval results due to the lack of pre-processing of the image. In this regard, the work proposes a study of a fast retrieval algorithm for sports training target images. By extracting visual features of sports training target images and generating corresponding visual vocabulary, denoising and visually enhancing the images, fast image retrieval is achieved by calculating image similarity measures. In the experiments, the proposed retrieval method is verified for retrieval performance. The experimental analysis shows that the proposed method has high retrieval speed and accuracy in retrieving images, and has a good overall retrieval performance.

Related Papers

• Semi-Automatic Image Annotation.(2001)
• → Image Retrieval with Adaptive SVM and Random Decision Tree(2018)5 cited
• Using Context Information to Improve Retrieval Accuracy in Content-Based Image Retrieval Systems(2006)
• → The Initial Retrieval Based on Image Segmentation(2014)
• → The Initial Retrieval Based on Image Segmentation(2014)