Shanghai, China

Qingchuan Wang


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2021

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1 patent (USPTO):

Title: Innovations of Qingchuan Wang in Image Searching Technology.

Introduction

Qingchuan Wang is a notable inventor based in Shanghai, China. He has made significant contributions to the field of image searching technology. His innovative approach focuses on enhancing the efficiency and accuracy of image retrieval processes.

Latest Patents

Qingchuan Wang holds a patent for an image searching method based on feature extraction. This invention provides a systematic approach to determine at least one sample image similar to the image being searched. The method includes several steps: first, feature extraction is performed on all sample images to obtain corresponding feature information. Next, an index tree is created based on this feature information. The feature information for the image to be searched is then obtained through feature extraction. Finally, the method determines the feature information corresponding to at least one sample image that has the minimum distance from the image being searched. This invention is designed to avoid interference from background elements, text annotations, and image merging, resulting in improved search outcomes and high commercial value.

Career Highlights

Qingchuan Wang is associated with Shanghai Firstbrave Information Technology Co., Ltd. His work at this company emphasizes the practical applications of his patented technology. His contributions have been instrumental in advancing the capabilities of image searching systems.

Collaborations

Qingchuan Wang collaborates with talented individuals such as Guanyong Wu and Feng Liu. Their combined expertise enhances the development and implementation of innovative solutions in the field of image processing.

Conclusion

Qingchuan Wang's contributions to image searching technology demonstrate his innovative spirit and commitment to advancing the field. His patented method showcases the potential for improved image retrieval processes, highlighting the importance of feature extraction in achieving accurate results.

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