WiMi Developed a Swin-Transformer and Hash-based On-Chain Copyright Detection Technology

Core Viewpoint - WiMi Hologram Cloud Inc. has developed a swin-transformer and hash-based on-chain copyright detection technology that enhances the efficiency and accuracy of copyright detection while providing a robust solution for copyright protection through blockchain technology [1][6]. Technological Innovation - The swin-transformer utilizes advanced deep learning for improved image recognition and video analysis, allowing for more accurate copyright detection compared to traditional methods [1][4]. - A hashing algorithm generates unique fingerprints of video content that remain consistent even after modifications, enabling the detection of both identical and altered infringing videos [2][5]. - Blockchain technology ensures the immutability of copyright data by permanently recording hash values, thus protecting original content from unauthorized changes [2][5]. - Smart contracts automate the verification process of video originality, enhancing efficiency and reducing human error in copyright detection [3][5]. - The block comparison approach allows for quicker identification of similarities in video content, significantly reducing the time and computational resources needed for analysis [3][5]. Industry Impact - WiMi's technology addresses the growing need for effective copyright protection in the digital era, supporting the legitimate rights of creators and fostering the healthy development of the video content industry [6][7]. - The integration of deep learning, hashing algorithms, and blockchain technology in copyright protection signifies a shift towards a more intelligent and transparent digital copyright ecosystem [7]. - The successful implementation of this technology sets a precedent for future advancements in copyright protection, contributing to a more orderly and prosperous digital creative environment [6][7].