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Currently, Massive Open Online Courses (MOOC) is having significant impact on E-learning by providing free campus curriculum for millions of viewers over the world. Most of MOOC mainly include literal tutorial, video course and easy quiz, but lack of an identical and easily operational experiment environment with durable data. It is crucial for participants to learn complicated courses involved practical...
The popularity of the Internet has changed everything about the radio industry. With the deep integration between the radio and the Internet, the radio industry has faced great challenges to organize the large-scale audio dataset, build an flexile architecture, and recommend highly personalized content to users. To address these problems, we realize a lightweight web application of the Internet personalized...
Content based video retrieval and content-based image retrieval are the hot research topics in recent years. Image feature extraction has played a very important role in the retrieval process. In this paper, we use the image color features and the image fingerprint extracted by the improved perceptual hash algorithm. In order to combine these two features, we have done a lot of tests to find the optimal...
With the increasing requirements of the efficiency of the stage art design for the user, how to reasonably classify the massive stage art 3D model materials and quickly form the new creative design, becomes a problem to be solved. According to the knowledge of stage art design and the lessons of the stage art experts, we established a knowledge base of stage art based on ontology, realized knowledge...
Text Categorization plays an important role in the fields of information retrieval, machine learning, natural language processing, data mining and others. With the development of computer and information technology, there have been many classification algorithms. Each text classification algorithms will get result at differing speeds and efficiency due to the various feature of test text. It has been...
In order to solve the conflict with robustness and invisibility of video watermark, the algorithms proposed in this paper select certain blocks according to the texture. By using the binary image to deal with logistic chaotic map and error-correction coding as watermarked data can improve the robustness and security. The low frequency signals of the selected blocks are modified such that their Discrete...
Authentication and encryption technology are the core components of the DRM (Digital Rights Management) system. In this paper, a security protocol basing on the identity-based signcryption scheme is proposed to implement these technologies simultaneously. According to the comparison with the PKI (public key infrastructure)-based DRM system, the advantages of this protocol are proved. However, in practice...
P2P content sharing is often blamed for copyright infringement, making the establishment of content security technologies an urgent need. A PCP (P2P-based content protection) system is proposed in this paper. The system is based on a trust model that focuses on content security, rights management and access control in P2P network. Encryption, digital watermarking, and packaging technologies are adopted...
P2P content sharing is often blamed for copyright infringement, making the establishment of DRM technologies an urgent need. A novel PCADRM (P2P-based Content Access Digital Rights Management) system is proposed. It is based on a trust model that focuses on content security, rights management and access control. Encryption, digital watermarking, and packaging technologies are adopted to protect the...
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