Digital watermarking has been used widely for the purposes of copyright protection and copy deterrence for multimedia content. In a forensic watermarking architecture, a buyer-seller watermarking protocol can enable a seller to identify a traitor from a pirated copy, while preventing the seller from framing an innocent buyer. Existing schemes are inefficient in practice for their high bandwidth usage. This paper proposes a buyer-seller watermarking protocol that is efficient from the bandwidth usage point of view. First, multicast that is an efficient transport technology for one-to-many communication is exploited, which can reduce the bandwidth usage significantly. Second, symmetric encryption instead of public-key encryption is performed on the multimedia content, which also can reduce the complexity and communication cost.

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In recent years, with the rapid development of virtual reality technology, the visual error correction of continuous aerobics image in virtual environment is of great value to the analysis of Aerobics technology. The main purpose of this paper is to study the visual error correction algorithm of VR image of continuous aerobics. This paper mainly introduces the overview of VR technology, characterist ics and aerobics, some algorithms of visual error correction. This article selects a continuous aerobics coach to take a continuous action of aerobics. These photos were modeled by VR, and the VR images of continuous aerobics were made. The visual error correction of X, y, depth direction of continuous aerobics action VR image with savd algorithm, it algorithm and FT algorithm proposed in this paper are compared, and the VR image performance of savd algorithm and it algorithm is compared. The experimental results show that: the errors of savd algorithm, it algorithm and FT algorithm in X direction, Y direction and depth direction of continuous aerobics action VR image without error correction are reduced by 41%, 26%, 14.16%, 31%, 29%, 21%, 72.7%, 41.1%, 35.1%, respectively. In this paper, the effect of savd algorithm in X direction and depth direction error correction is very obvious, in Y direction error correction has some effect, but not obvious, savd algorithm in continuous aerobics action VR image visual error correction effect is better than it algorithm and FT algorithm. The correctness and feasibility of the proposed savd algorithm for visual error correction of continuous aerobics action VR image is verified.

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The aim is to improve the teaching quality of music majors and cultivate their innovative ability. This article takes Vocal Music Education (VME) method as the research object to explore the teaching reform of Music Major courses. Firstly, this article makes an in-depth study on Big Data Analytics (BDA) and Digital Twins (DTs) technology and constructs a DTs platform connecting real teaching space and virtual teaching space. Secondly, the DTs platform is divided into online learning feature analysis and virtual-real teaching space integration functional modules. This article explores the online immersive education process design and technology application of the DTs platform from the two aspects of teaching and technology. Afterward, it designs a student action and expression recognition network based on the Visual Geometry Group (VGG) Net model and Google Net model in teaching data collection and management. Finally, the proposed system is tested. The test results show that the active and passive interaction curves of the traditional VME system have no obvious fluctuation, indicating that the interaction of the traditional VME system is not strong, and the ability of active feedback information is poor. By contrast, the active and passive interaction curves in the proposed VME have large fluctuations, showing that the proposed VME has more frequent interaction, and the teaching information can get real-time and active feedback. Therefore, the proposed VME system can better stimulate students’ learning desire. Meanwhile, the constructed Neural Network (NN) has the highest recognition accuracy of 99.07% on the student action and expression dataset. When tested with the image data taken by the research experiment, the highest accuracy is 89%, with an average of more than 85%. The proposed VME system provides ideas for applying DTs technology in the college of music education.