Digital Multimedia Information Research Articles

Mobile visual media design based on artificial intelligence and augmented reality technology

Abstract In recent years, with the development of computer and network technologies, digital video and image information is emerging more and more, the information era based on multimedia information services is coming to us, and people’s demand for visual media content such as video and images is becoming more and more extensive. In this paper, we use the Gaussian mixture model pixel detection technology method and image detection technology to study visual media to meet the various needs of users. SVM is used to perform classification tests on 3688 Chinese painting images and 4827 general images. The result is that the positive detection rate of national painting images is 87.25%, and the rate of non-national painting images being wrongly detected as national painting images is 7.63%. This indicates that the CCV feature also has a relatively good discriminative property for national painting images. The focus is on providing technical methods for the design of various visual media shapes such as sports and art, thus providing solutions to help users better access and use the digital multimedia information they are interested in.

The effects of multimedia information on recruitment and retention in a children’s cardiac surgery trial: a randomised controlled SWAT (study within a trial)

Background: Digital multimedia information (MMI) has potential for use in trial recruitment but there is little formal evaluation. The objectives were to evaluate digital MMI about a trial for its effects on recruitment, retention, participation decisions, and patients’ acceptability, compared with printed information (PIS) alone and when combined with PIS. Methods: SWAT (study within a trial) using random parallel-group individual allocation within the Thermic-3 trial evaluating warm versus cold cardioplegia solution during cardiac surgery. Set in one UK hospital, participants were 147 children (0-16 years) awaiting surgery for congenital heart defects; 38% were female. Participants and their parents/guardian received trial information via multimedia (including text, animated videos and talking-head videos) for viewing at home (MMI group; n=49), or PIS (PIS group; n=47), or both (PIS&MMI group; n=51). Primary outcome was recruitment rate to the Thermic-3 trial comparing PIS-alone and MMI-alone. Secondary outcomes were recruitment rate comparing PIS-alone and combined PIS&MMI; Decision-Making Questionnaire; 3 ‘free-text’ questions (deriving subjective evaluations); trial retention. Results: MMI produced a 14.2% absolute increase in recruitment, which was not statistically significant: 32 (65.3%) participants were recruited from the MMI group; 24 (51.1%) from the PIS group (OR 1.80; 95% CI 0.79 to 4.10, p = 0.16); and 22 from the PIS&MMI group. There was no difference in recruitment through combined PIS&MMI (43.1% vs 51.1%; OR 0.73; 95% CI 0.33 to 1.61; p= 0.43). Questionnaires were returned by 17 (12%) participants and analysed descriptively. Trial retention (at 3 months) was high in all groups (72/77; 93.5% overall) and there was no difference due to information format received before participating. Conclusions: MMI increased recruitment to the Thermic-3 trial but the difference was not statistically significant, and the SWAT was small. Trial registration: TRECA ISRCTN73136092 and NI Hub for Trials Methodology Research SWAT Repository (SWAT 97). Thermic-3: ISRCTN13467772.

Advance hybrid medical watermarking algorithm using speeded up robust features and discrete cosine transform.

In the continuous development of computer network technology, multimedia technology and information technology, digitization has become the main means of displaying information, thus facilitating the storage, copying and dissemination of digital multimedia information. In this context, there are no restrictions on arbitrary editing, copying, modification, and dissemination of digital images, music, etc., which leads to various social problems such as information security, copyright disputes, and piracy. With the advancement of networks and multimedia, digital watermarking technology has received worldwide attention as an effective method of copyright protection. Improving the anti-geometric attack ability of digital watermarking algorithms using image feature-based algorithms have received extensive attention. This paper proposes a novel robust watermarking algorithm based on SURF-DCT perceptual hashing (Speeded Up Robust Features and Discrete Cosine Transform), namely blind watermarking. The algorithm firstly uses the affine transformation with a feature matrix and chaotic encryption technology to preprocess the watermark image, enhance the confidentiality of the watermark, and perform block and DCT coefficients extraction on the carrier image, and then uses the positive and negative quantization rules to modify the DCT coefficients. The embedding of the watermark is completed, and the blind extraction of the watermark realized. Experiments show that the algorithm has good invisibility and strong robustness against conventional and geometric attacks and can effectively protect the security of images with NC value more than 90%.

Access to and services for federal information in the networked environment: Institutional issues and strategies

Today's information and communications technologies support new ways to mix, match, and manipulate digital multimedia information. There is, however, an array of technical, policy, monetary, and human support challenges facing both the individual and the organization in the integration and use of networked federal information

ATE paperless multimedia information and data collection system

An overview is given of the Productivity, Reliability, Availability, and Maintainability (PRAM) Project 00-256, which aims to integrate the Digital Multimedia Information System (DMIS) into the Reconnaissance Module Automatic Test System (RMATS). Benefits to be derived from the incorporation of the DMIS and return on investment for the US Air Force are discussed. The process used to obtain approval and funding support for this advanced maintenance aiding and data collection system is described. >