It is a critical problem to find the commerce quickly and accuracy. Information from different sources can improve the retrieval performance. In this paper, we proposed a combination algorithm of color descriptor, LBP texture descriptor and HOG shape descriptor for commerce image retrieval. The commerce image retrieval experiments on commerce image dataset PI 100 indicate the combination can bo...

Constructing accurate training tuples is crucial for unsupervised local descriptor learning, yet challenging due to the absence of patch labels. The state-of-the-art approach constructs with heuristic rules, which struggle precisely depict real-world transformations, in spite enabling fast model convergence. A possible solution alleviate problem clustering-based approach, can capture realistic ...

Based on the feature matching theory about SIFT (Scale-Invariant Feature Transform) keypoints, the concentric circle structure and the color feature vector of scale-invariant descriptor are proposed in this paper. In the concentric circle structure, the radiuses of the concentric circles are proportional to the scale factor, which can achieve the scale invariance. To achieve the rotation invari...

Concept-based video retrieval is a developing area of current multimedia content analysis research. The use of spatio-temporal descriptors in content-based video retrieval has always seemed like a promising way to bridge the semantic gap problem in ways that typical visual retrieval methods cannot. In this paper we propose a spatio-temporal descriptor called ST-MP7EH which can address some of t...

3D object retrieval has received much research attention during the last years. To automatically determine the similarity between 3D objects, the global descriptor approach is very popular, and many competing methods for extracting global descriptors have been proposed to date. However, no single descriptor has yet shown to outperform all other descriptors on all retrieval benchmarks or benchma...