WiMi Developed a Swin-Transformer and Hash-based On-Chain Copyright Detection Technology
WiMi Hologram Cloud Inc. (NASDAQ: WIMI) developed a swin-transformer and hash-based on-chain copyright detection technology, enhancing efficiency and accuracy in copyright protection. The technology combines deep learning models, hashing algorithms, blockchain technology, and smart contracts to automate copyright detection and verification processes, ensuring immutability and transparency in protecting video content copyrights. The innovation provides a sustainable solution for copyright protection in the digital era, setting a new standard for the industry.
Enhanced efficiency and accuracy in copyright protection through advanced deep learning models and hashing algorithms.
Utilization of blockchain technology ensures immutability and permanence of copyright information.
Automation of copyright detection and verification processes using smart contracts reduces human errors and processing time.
Adoption of block comparison approach improves comparison speed and reduces computing resource consumption.
Technology adapts to future growth in video data volume, providing a sustainable solution for copyright protection.
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The technological innovation of WiMi's swin-transformer and hash-based on-chain copyright detection technology is reflected in the following aspects:
Application of deep learning: Swin-Transformer is an advanced deep learning model that has excellent performance in image recognition and video analysis. Compared with traditional copyright detection methods, Swin-Transformer is able to recognize the features of video content more accurately and improve the accuracy of copyright detection. In addition, it can handle large-scale video data, making the copyright detection process more efficient.
Combination of hashing algorithm: Hashing algorithm is used to generate unique fingerprints or identifiers of video content. These hash values demonstrate the key features of the video and remain consistent even after the video is compressed or edited. This enables copyright detection to recognize not only identical copies of videos, but also infringing videos that have been modified.
Integration of blockchain: The utilization of blockchain technology has revolutionized video copyright detection. By storing the hash value of the video on the blockchain, the immutability and permanence of this data can be ensured. In this way, once the video content is verified as original, its copyright information can be permanently recorded and protected and cannot be changed or deleted by anyone.
Automation of smart contracts: Smart contracts are self-executing programs on the blockchain that can automatically perform predetermined actions when specific conditions are met. In video copyright detection, smart contracts can automatically verify the originality of video content and record the detection results. This automation not only improves the efficiency of the detection process, but also reduces the possibility of human error.
Optimization of block comparison: Traditional video comparison methods usually need to analyze the whole video file, which is very time-consuming when dealing with large amounts of data. Instead, the swin-transformer and hash-based on-chain copyright detection technology adopts block comparison approach to quickly identify similarities by comparing different parts of the video. This approach greatly reduces the time and computational resources required for comparison.
WiMi's swin-transformer and hash-based on-chain copyright detection technology has significant technical advantages. Firstly, it realizes efficient and accurate analysis of video content by combining the deep learning model swin-transformer, which can capture the details and patterns in the video to extract representative feature vectors. These feature vectors not only accurately reflect the uniqueness of the video content, but also quickly match similar or identical content in large-scale video databases. In addition, the adaptive capability of the deep learning model means that the accuracy and efficiency of the detection system will continue to improve as more data is fed into it, which is crucial for handling the large amount of video content that is constantly emerging on the web.
Second, the technology uses a deep hashing algorithm to generate unique fingerprints of video content that remain consistent even after the video has been compressed, cropped, or otherwise edited. This consistency ensures that the system is able to accurately recognize original content even when confronted with modified infringing videos. At the same time, these hash values are stored on the blockchain, utilizing the blockchain's immutability to protect video copyrights. This storage method not only guarantees the security of copyright information, but also makes the copyright verification process transparent and traceable, greatly enhancing the credibility of copyright protection. In addition, the technology further enhances the efficiency and responsiveness of copyright detection through the automation function of smart contracts. Smart contracts are able to perform the copyright detection and verification process automatically on the blockchain without human intervention, thus reducing processing time and potential human errors. In addition, the block comparison approach enables the system to quickly compare different parts of the video rather than the entire video file, which greatly improves the comparison speed and reduces the consumption of computing resources. This efficient detection mechanism is not only applicable to the current scale of video content, but can also adapt to future growth in video data volume, providing a sustainable solution for copyright protection.
With the advent of the digital era, copyright protection of video content has become particularly important. WiMi's swin-transformer and hash-based on-chain copyright detection technology not only provides a powerful copyright protection tool for creators, but also lays a solid foundation for the healthy development of the entire digital content industry. The success of this technology demonstrates the great potential of deep learning, hash algorithms and blockchain technology in the field of copyright protection, and also provides a reference for others.
The promotion and application of this technology signals a more intelligent, efficient and transparent future for copyright protection. With the continuous progress and optimization of the technology, it will facilitate a more just and reasonable digital copyright ecosystem. It not only provides solutions to current copyright protection problems, but also points out the direction of future copyright protection trends. The wide application of this technology will lead to the arrival of a more prosperous and orderly digital creative era.
About WIMI Hologram Cloud
WIMI Hologram Cloud, Inc. (NASDAQ:WIMI) is a holographic cloud comprehensive technical solution provider that focuses on professional areas including holographic AR automotive HUD software, 3D holographic pulse LiDAR, head-mounted light field holographic equipment, holographic semiconductor, holographic cloud software, holographic car navigation and others. Its services and holographic AR technologies include holographic AR automotive application, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR advertising technology, holographic AR entertainment technology, holographic ARSDK payment, interactive holographic communication and other holographic AR technologies.
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SOURCE WiMi Hologram Cloud Inc.
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