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Becoming a media mentor : a guide for working with children and families
Media mentors guide children and their families in choosing and using the technology and digital media in their lives. Haines and Campbell describe what it means to be a digital-age librarian working with literacy development and children's media. Along the way they introduce you to some of the media mentors who have grounded their use of digital media with relationships that encourage joint engagement and enhanced learning.
Book
QoE Models for Adaptive Streaming: A Comprehensive Evaluation
Adaptive streaming has become a key technology for various multimedia services, such as online learning, mobile streaming, Internet TV, etc. However, because of throughput fluctuations, video quality may be dramatically varying during a streaming session. In addition, stalling events may occur when segments do not reach the user device before their playback deadlines. It is well-known that quality variations and stalling events cause negative impacts on Quality of Experience (QoE). Therefore, a main challenge in adaptive streaming is how to evaluate the QoE of streaming sessions taking into account the influences of these factors. Thus far, many models have been proposed to tackle this issue. In addition, a lot of QoE databases have been publicly available. However, there have been no extensive evaluations of existing models using various databases. To fill this gap, in this study, we conduct an extensive evaluation of thirteen models on twelve databases with different characteristics of viewing devices, codecs, and session durations. Through experiment results, important findings are provided with regard to QoE prediction of streaming sessions. In addition, some suggestions on the effective employment of QoE models are presented. The findings and suggestions are expected to be useful for researchers and service providers to make QoE assessments and improvements of streaming solutions in adaptive streaming.
Journal Article
A TextCNN and WGAN-gp based deep learning frame for unpaired text style transfer in multimedia services
With the rapid growth of big multimedia data, multimedia processing techniques are facing some challenges, such as knowledge understanding, semantic modeling, feature representation, etc. Hence, based on TextCNN and WGAN-gp (improved training of Wasserstein GANs), a deep learning framework is suggested to improve the efficiency of discriminating the specific style features and the style-independent content features in unpaired text style transfer for multimedia services. To redact a sentence with the requested style and preserve the style-independent content, the encoder-decoder framework is usually adopted. However, lacking of same-content sentence pairs with different style for training, some works fail to capture the original content and generate satisfied style properties accurately in the transferred sentences. In this paper, we adopt TextCNN to extract the style features in the transferred sentences, and align the style features with the target style label by the generator (encoder and decoder). Meanwhile, WGAN-gp is utilized subtly to preserve the content features of original sentences. Experiments demonstrate that the performances of our framework on automatic evaluation and human evaluation are much better than the former works. Thus, it provides an effective method for unpaired text style transfer in multimedia services.
Journal Article
Self-adaptable media service architecture for guaranteeing reliable multimedia services
The main objective of this paper is to design and develop a Self-Adaptable Media Service Architecture (SAMSA) for providing reliable dynamic composite multimedia service through policy-based actions. The multimedia services such as media retrieval, transcoding, scaling and display services are combined based on the preferences of the user to create a dynamic composite multimedia service called as Video-on-Demand service. Such distributed multimedia services deployed using Service Oriented Architecture (SOA) can be accessed in heterogeneous environments that are prone to changes during run-time. To provide reliable and adaptive multimedia services, a powerful self-adaptable architecture with dynamic compositions of multimedia services is necessary to adapt during run-time and react to the environment. The adaptability in this proposed architecture is achieved by enabling the service providers to Monitor, Analyze and Act on the defined policies that support customization of compositions of multimedia services and guarantee the Quality of Service (QoS) provisioning. The Media Service Monitor (MSM) observes the business and quality metrics associated with the multimedia services during run-time. The monitored results are analyzed by Monitored Results Analyzer (MRA) which identifies the type and location of the fault. The Adaptive Media Service Manager (AMSM) takes corrective actions based on the monitored results, through the policies defined as an extension of WS-Policy (Web Service—Policy framework). The effectiveness of the proposed Self-Adaptable Media Service Architecture (SAMSA) has been evaluated on Dynamic Composite Real-time Video-on-Demand Web Service (DCRVoDWS) for a maximum of 200 simultaneous client’s requests. The analysis of results shows that the proposed architecture provides better improvement on reliability, response time and user satisfaction.
Journal Article
Value-added service providers for mobile education: empirical challenges and analytics
More people have access to Multimedia Messaging Service (MMS, a.k.a. mobile picture messaging) than to the Internet, but mobile education markets have yet to adopt MMS as a content delivery mechanism. This paper investigates the role of carrier interoperability as an enabler of MMS in mobile multimedia distance learning. Using instructor reuse of content and learner access to content as feasibility criteria, we empirically evaluate the performance, user adoption, and commercial market of MMS-based mobile education. This study deployed a value-added service that broadcasts videos via MMS to cell phones, and conducted a 9-month public education campaign with weekly broadcasts on breast cancer. We selected a video format and markup language that is compatible with domestic carriers and cell phones, and supports existing educational material. To contrast behaviors between participants with and without access to the Internet, we offered participants the same content via MMS, email and the Web. 277 participants enrolled in the campaign; 120 opted to receive the videos via mobile messaging, and 157 had Internet access and opted to receive videos via email or the Web. Campaign analytics reveal that all participants without Internet access successfully received the MMS video broadcasts, and significantly, one-third of participants with Internet access opted to receive the videos via MMS as well. We conclude with a discussion of why participants with Internet access may have chosen MMS over Internet-based alternatives. We also estimate the size of the market for MMS-based mobile education, and distinguish it from the person-to-person messaging market. This research is beneficial to educators targeting diverse demographics and education disparities, and to mobile commerce economists evaluating emerging markets.
Journal Article
Weighted principal component analysis-based service selection method for multimedia services in cloud
Cloud computing has rendered its ever-increasing advantages in flexible service provisions, which attracts the attentions from large-scale enterprise applications to small-scale smart uses. For example, more and more multimedia services are moving towards cloud to better accommodate people’s daily uses on various smart devices that support cloud, some of which are similar or equivalent in their functionality (e.g., more than 1,000 video services that share similar “video-play” functionality are present in APP Store). In this situation, it is necessary to discriminate these functional-equivalent multimedia services, based on their Quality of Service (QoS) information. However, due to the abundant information of multimedia content, dozens of QoS criteria are often needed to evaluate a multimedia service, which places a heavy burden on users’ multimedia service selection. Besides, the QoS criteria of multimedia services are usually not independent, but correlated, which cannot be accommodated very well by the traditional selection methods, e.g., traditional simple weighting methods. In view of these challenges, we put forward a multimedia service selection method based on weighted Principal Component Analysis (PCA), i.e., Weighted PCA-based Multimedia Service Selection Method (W_PCA_MSSM). The advantage of our proposal is two-fold. First, weighted PCA could reduce the number of QoS criteria for evaluation, by which the service selection process is simplified. Second, PCA could eliminate the correlations between different QoS criteria, which may bring a more accurate service selection result. Finally, the feasibility of W_PCA_MSSM is validated, by a set of experiments deployed on real-world service quality set
QWS Dataset
.
Journal Article
Dual-Step Hybrid Mechanism for Energy Efficiency Maximization in Wireless Network
Wireless networks have become essential in daily life, with a growing number of base stations and connected devices. However, increasing traffic and energy consumption pose challenges. This research proposes a Dual Step Hybrid Mechanism (DSHM) for energy optimization, incorporating MIMO technologies. The first step introduces an optimal algorithm that iteratively updates the probability distribution to achieve the best solution. The second step focuses on reducing energy consumption while maximizing energy efficiency, using specific techniques and strategies to minimize usage without compromising energy maximization. The proposed approach is evaluated using parameter settings, including block length, path loss, hardware impairments, and bandwidth. The research investigates the impact of hardware impairments on energy efficiency and analyzes performance under different SINR constraints. The study also examines energy efficiency in active user density and base station density, highlighting the superior energy efficiency achieved by MIMO configurations.
Journal Article
Interactive Multimedia Services Research, used in the Systems Engineering Career of the Technological Institute of Mexicali
This quantitative research, has the objective of measuring the impact on the users of Interactive multimedia services, in the systems engineering career of the Instituto Tecnológico de Mexicali. The method is a survey applied to a sample of students of the Systems Engineering degree at the Instituto Tecnológico de Mexicali. The results of a survey applied about Interactive multimedia services is Interactive multimedia services, is a new tool of the Acrobat DC professional suite, which allows the user to generate PDF documents which contain various multimedia elements, such as MP3 audios, Videos, Photos, which are intended to be a valuable tool in the student teaching process and is used successful for the 402 students enrolled in systems engineering career of the Instituto Tecnológico de Mexicali. Based on the results obtained from this research, it can be seen that the students of the systems engineering career of the Technological Institute of Mexicali, consider themselves to be enthusiastic about information and communication technologies, such as interactive multimedia services, and they wish to use these technologies, as an area of opportunity we discovered that this technology is not currently used in the systems engineering career of the Technological Institute of Mexicali, nor in other academic departments, the students surveyed show that they know these technologies and that they would recommend them as a means to improve the learning, besides that they consider these technologies reliable.
Journal Article
Urban traffic accident risk prediction for knowledge-based mobile multimedia service
Traditional accident prediction models have been mostly designed with statistical analysis that finds and analyzes the causal relationships between traffic accidents and a variety of human, road geometry, and environmental factors. However, these statistical methods have limitations in that they are based on assumptions about data distribution and function type. Therefore, this study suggests an accident prediction model using deep learning. This newly suggested risk prediction model is for predicting risk by reflecting static features of the road, such its length and the speed limit on it, and dynamic features of the road, such as traffic volume when driving on it, and the altitude and azimuth of the sun. For this purpose, 4470 accident cases, collected over 5 months from August to December 2018 in Seoul—the most complex, high-traffic, and accident-prone city in Korea—were analyzed. As a result of testing the model using such data, it was found to have an accuracy of 75% and recall of 81%. Based on testing results for the suggested risk prediction model, a system was developed to guide not only accident-prone regions predicted using statistical data but to also guide a risk level for the road. This level of risk is estimated based upon each given situation, so it can change even for the same road. This guide system can be used to provide a level of risk for each road segment and region but also to improve roads with recommendations, such as installation of safety features. In addition, it could support a mobile system that provides a driver with the optimized driving path for safety.
Journal Article
Acceptability of Antenatal Multiple Micronutrient Supplementation Supplementation in Pregnant Individuals: A Narrative Review
Background/Objectives: Antenatal multiple micronutrient supplementation (MMS) improves birth outcomes more effectively than iron and folic acid (IFA) supplementation alone. However, the acceptability of MMS among pregnant individuals, a critical factor for adherence and program success, remains poorly defined and inconsistently assessed. This narrative review proposes a comprehensive definition of “acceptability” in the context of nutritional supplementation and evaluates the evidence on the acceptability of MMS compared to IFA in low- and middle-income countries (LMICs). Methods: We conducted a systematic literature search across Embase, Medline, and Scopus to identify studies (including grey literature) reporting on acceptability-related outcomes for MMS versus IFA among pregnant individuals. Studies exploring dimensions such as organoleptic properties, ease of consumption, side effects, cultural appropriateness, and socioeconomic factors were included. Results: Out of 1056 screened studies, five informed a novel multi-dimensional definition of acceptability. Six studies assessed acceptability-related characteristics. MMS was generally accepted across most organoleptic domains. Most studies reported fewer or comparable adverse side effects for MMS as compared to IFA. Studies consistently reported more perceived benefits for MMS than IFA. Facilitating factors included trust in health professionals, free provision, and family support. Barriers included poor taste or smell, fear of side effects, misconceptions, cost, and lack of family support. Conclusions: Antenatal MMS is widely acceptable in LMICs. Addressing socio-cultural, sensory, and socioeconomic factors is essential to increase uptake and adherence. This review provides a clear, standardized definition of acceptability to guide future research and inform effective program design.
Journal Article