Multimedia Video Research Articles

Seeing is Believing: Empowering Patients Through Video Education. A RCT Evaluating a Multimedia Video for Patients Undergoing TLH

Seeing is Believing: Empowering Patients Through Video Education. A RCT Evaluating a Multimedia Video for Patients Undergoing TLH

Deep reinforcement learning based quality of experience aware for multimedia video streaming

Deep reinforcement learning based quality of experience aware for multimedia video streaming

Mhealth-based interventions to improving liver cancer screening among high-risk populations: a study protocol for a randomized controlled trial

BackgroundLiver cancer (LC) screening, such as AFP test and abdominal ultrasound, is an effective way to prevent LC, one of the most common cancers worldwide. Despite the proven screening benefits, screening participation among high-risk populations for LC remains low. This suggests that targeted, systematic, and effective interventions should be provided to improve knowledge and awareness related to LC screening, enhance screening intentions, and thereby promote screening behaviors. Telephone is people’s main medium of daily communication and mHealth-based programs offer a potential and effective solution for promoting health behaviors. The purpose of this study is to develop and implement a mHealth (WeChat app) based intervention guided by Fogg’s Behavior Model (FBM) to augment the knowledge of LC prevention among people at risk of LC and enhance their motivation for screening, and to validate its effectiveness in improving LC screening.MethodsWe propose a two-arm, single-blind randomized controlled trial with 82 at-risk individuals of LC, delivering a 6-month mHealth-based intervention program with optional health counseling. Recruitment will be through tertiary hospitals and community organizations in 4 districts in Heng Yang. In total, 82 individuals at high risk for HCC will be randomized 1:1 to intervention or control (usual care) groups. The intervention group will receive intervention, whose contents are based on the FBM model, via multiple forms of media including PowerPoint presentation, multimedia video, health information booklet and screening message, which is delivered in the WeChat Applet. Control dyads will be provided with usual health education. Outcomes will be assessed at baseline and post-intervention.DiscussionThe findings of this study will provide evidence of the benefits of utilizing mHealth-based approaches in intervention development to enhance the effectiveness of screening adherence for high-risk people of LC. Further, the findings would provide reference to the potential incorporation of the targeted intervention in local community organizations.Trial registrationChinese Clinical Trial Registry (ChiCTR2400080530) Date registered: 31/1/2024.

An Effective Methodology for Cloud-Based Priority Generation System using an ANFIS-CNN Classification Architecture

The cloud architecture improves the memory capacity and optimizes bandwidth across the entire network architecture, facilitating the transmission and the reception of large amounts of multimedia data. The cloud system requires workflow computation and a scheduling algorithm to enhance the network performance. Therefore, this algorithm generates the priority of each multimedia data stream for effective transmission over the wireless network. In this research, a priority (PR) generation system is proposed for the efficient transmission of large multimedia videos over wireless networks through cloud architecture. This proposed system involves preprocessing video frames, computing features, and classifying them using the ANFIS-CNN classifier. This classifier is the integration of an adaptive neuro-fuzzy inference system (ANFIS) and the Convolutional Neural Network (CNN) classifier. The ANFIS-CNN based priority generation algorithm has been tested on two independent cloud platforms: Microsoft Azure and Amazon EC2. Experiment results from these cloud platforms have been compared with other existing algorithms for the priority generation process.

Robotic caudo-peripheral approach for liver parenchymal transection in anatomical liver resections for hepatocellular carcinoma

Liver parenchymal transection is a challenging step during hepatic resection, particularly when using robotic platforms that require specific skills to optimize this phase. Pedicle division at the beginning of the liver parenchyma helps to better identify the resection plane and minimizes blood loss. The three-dimensional (3D) high-definition vision and the robotic Maryland allow for clear identification of the hepatic pedicles that could be dissected or divided without the need for a laparoscopic ultrasonic dissector. The caudo-peripheral technique, combined with the Maryland bipolar Kelly clamp crushing technique, is a useful approach to complete parenchymal transection and achieve safe anatomical resections in cases of hepatocellular carcinoma (HCC) with multi-pronged bleeding control. This is essential for expediting the procedure, reducing the number of intermittent clamping times, and minimizing the risk of ischemia-reperfusion injury. In this setting, perfect synchronization between the surgeon operating at the console and the bedside assistant is crucial. Advances in artificial intelligence (AI) systems have shown great potential to redefine clinical care management, preoperative planning, and intraoperative decision making for patients with HCC. This paper describes the most relevant details of our technique, its theoretical background, advantages, and limitations. Moreover, minimally invasive surgery offers the opportunity to share surgical experiences and technical progress through multimedia videos. This represents a modern and effective teaching tool to accelerate the learning process and overcome the challenges of the most complex procedures by offering surgeons various solutions to common technical problems.

Assessment on Knowledge and Satisfaction Level of Delirium Video for Education in Geriatric Patients Undergoing Elective Noncardiac Surgery

Objective: The aim of this study was to evaluate the knowledge level and patient satisfaction after receiving multimedia education on delirium developed by the Siriraj Integrated Perioperative Geriatric Excellent Research Center (SiPG), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand in geriatric patients undergoing elective noncardiac surgery. Materials and Methods: This randomized controlled study included geriatric patients scheduled for elective noncardiac surgery. The patients were randomized and categorized into an intervention group or a control group. The intervention group received multimedia education on delirium developed by SiPG, comprising a video. After watching the video clip, the patients took an examination for acute delirium, and were also asked to complete a satisfaction survey questionnaire. The control group took only the delirium examination. The average scores between the two group were compared by using independent t-tests. Results: Fifty-four geriatric patients were included in the study (27 patients per group). The average score of the examination in the intervention group (6.56±1.58 out of 8) was significantly higher than the control group (4.96±1.65). In the satisfaction survey, all the patients stated they were “highly satisfied” with the multimedia video clip. Conclusion: The multimedia video clip on delirium developed by SiPG has a potential to serve as an effective tool for promoting preoperative education in geriatric patients. Our study demonstrated its ability to improve patient knowledge and increase patient satisfaction.

Improvement on the Integrit Rate of the first fime inpatient hemodialysis nursing instruction

<p>治療前進行完整的護理指導可減輕病人對治療與照護的焦慮並提升自我照顧能力。統計本單位2019年11月-2020年3月護理指導完整率僅59.6%，經調查護理指導不完整原因為：護理人員因忙碌而忘記護理指導、透析中衛教時護理師被其他病人叫喚而中斷、護理師憑經驗衛教缺乏一致性、病人因透析中不舒服而未執行護理指導、部份護理指導沒有衛教單張、衛教單張字體不合適且都是文字缺乏圖表說明、介入護理指導時機太晚、缺乏護理指導後交班與查核機制。透過文獻查證後選定七項改善對策：修訂護理指導執行內容、規劃交班內容並將衛教紀錄單資訊化導入提醒設計、審閱與制定衛教單張並集結成透析前訪視手冊、新增首次血液透析前訪視護理指導方式、制定護理指導查核作業、製作多媒體影片、QR code連結指導單張及影片。經改善對策後，住院病人首次接受血液透析護理指導完整率由59.6％提升至100％，並間接提升病人滿意度，達本專案目標且對護理照護品質有正面肯定。</p> <p> </p><p>This project is aiming to increase the integrity rate of the nursing instruction for the first time hospitalized patients hemodialysis. complete rate of nursing instruction can reduce patients’ anxiety about their treatment and care as well as improve their self-care ability. Statistic showed, from November 2019 to March 2020, the Integrity rate of nursing instruction was only 59.6%. </p> <p>After clinical investigation, incomplete nursing instruction is the cause, nine improvement countermeasures were provided after literature review they are: revising the implementation content of nursing instruction, specifying guidance items to be included in the shift handover, formulating health education leaflet, making the pre-dialysis visit pamphlet and multimedia video, Standardizing the information and reminder design of health education recording sheet, adding nursing instruction for the first Pre-hemodialysis visit, developing nursing guidance inspection program and QR code linked guidance leaflet and videos. </p> <p>After these strategies were executed, the complete rate of the first time hospitalized patients receiving hemodialysis nursing instruction increased from 59.6% to 100%, and the patient satisfaction has been indirectly improved. This project successfully achieved its objectives, and the quality of nursing care was also improved positively.</p> <p> </p>

Different Effects of Behavioral-Based Strategies for Sustaining Attention of an Elementary Student with Intellectual Disability

<p>智能障礙學生常伴隨注意力缺陷等問題，導致學習歷程困難，影響學習表現和成就。根據國內外文獻和實務報告，為改善注意力與學習問題，兩個常見的行為策略為：（一）增加專注口語提示策略，及（二）暫時移除偏好的教材刺激。然而，國內研究鮮少比較行為策略對於注意力的成效，也缺乏融合應用多媒體動畫影片教材，因此，本研究旨在針對智能障礙伴隨注意力缺陷學生在學習多媒體動畫影片教材時，這兩種行為策略對於學生注意力時間之影響，並比較兩種策略的成效差異。</p> <p>本研究採用單一受試實驗研究法之交替比較設計，針對一位就讀於國小集中式特教班，並經醫療診斷為智能障礙伴隨注意力缺陷的學生，藉由交替設計比較教學者於自然情境中執行上述兩種行為策略時學生注意力維持時間的變化，以呈現自然教學場域中的真實樣貌。研究過程分為基線期、交替介入期，以及最佳介入期，研究數據採取單一受試研究法之視覺分析探究成效。</p> <p>研究結果顯示，研究對象在交替介入期間，無論使用哪種行為策略，注意力維持時間皆高於基線期不使用任何介入策略的情境，並達六次成效複製，顯示兩者對於改善注意力的維持皆具有功能關係，其中，暫時移除偏好的教材刺激策略優於增加專注口語提示策略之成效，為該研究對象之最佳介入策略。</p> <p> </p><p>Attention function is a multi-facet concept that is critical for learning. Students with intellectual disability (ID) are often accompanied by problems such as attention deficit, which leads to difficulties in the learning process and affects academic performance and achievement. According to related studies, in order to improve attention and learning problems, two common behavioral strategies are: (a) using verbal prompt for on-task attention, and (b) removing preferred stimulus. However, there are few domestic studies that compare the effectiveness of behavioral strategies on attention, and there is also a lack of integrated application of multimedia video teaching materials. Therefore, this study aims to explore the impact of these two behavioral strategies on sustaining attention time when ID students with attention deficit learn multimedia animation video teaching materials, and to compare the effectiveness of the two strategies.</p> <p>This was a single subject research using alternating treatment design to compare the two behavioral-based strategies implemented by the student’s teacher in natural educational setting. It focuses on a participant who is studying in a self-contained special education class in an elementary school and has been medically diagnosed with intellectual disability and attention deficit. The research process is divided into baseline, intervention, and better intervention phases. The research data adopts visual analysis of single subject research method to explore the effectiveness.</p> <p>The results of the study showed that during the alternating intervention phases, no matter which behavioral strategies was used, the attention maintenance time of the research participant was higher than that of the baseline phases when no intervention strategy was used, and the effect was replicated six times, showing that both are effective in improving attention. There is a functional relationship between them. Among them, the strategy of temporarily removing the preferred teaching material stimulus is more effective than adding the strategy of focusing on verbal prompts, and is the best intervention strategy for this research participant. Social validity survey also indicated that teachers and parent were satisfied with the intervention outcome.</p> <p> </p>

MULTI-MODAL GRAPHNET LEARNING-BASED FEATURE EXTRACTION FOR SPATIOTEMPORAL SALIENCY DETECTION ON MULTIMEDIA VIDEOS

In multimedia content analysis, spatiotemporal saliency detection plays a crucial role in understanding visual data. However, existing methods often struggle with efficiently capturing complex patterns in videos. To address this, we propose a Multi-modal GraphNet Learning-Based Feature Extraction approach. Our method integrates multi-modal information from both spatial and temporal domains to enhance saliency detection accuracy. By leveraging GraphNet, we effectively model the intricate relationships among video frames. We validate our approach on a diverse set of multimedia videos, demonstrating significant improvements in saliency detection performance. Specifically, our method achieves an average precision of 0.85 and a recall of 0.78, outperforming state-of-the-art techniques. Furthermore, our approach exhibits robustness across various video types and scenarios. Through experimental evaluation, we confirm the efficacy of our proposed method in enhancing spatiotemporal saliency detection. This work contributes to advancing the field of multimedia analysis, offering a promising solution for understanding visual content in videos.

Penguatan Kompetensi Pemanfaatan Media Digital dalam Proses Pembelajaran di SMK Yadika 5 Pondok Aren

During a pandemic like now, a teacher is required to use ICT-based or digital learning media because learning takes place online. Therefore, it is necessary to increase competence in the use of digital media and ICT in the online teaching and learning process. This Community Service activity aims to strengthen competence in the use of digital media in the learning process. The solution offered is to transfer knowledge through Public Speaking training or workshops, creating teaching materials in the form of multimedia videos and managing the School's ICT Website. The output target is to produce increased competency capabilities in the field of digital learning media and management of teaching material websites. Second, produce output in the form of videos of activities and publications in mass media, scientific journals with ISSN and additional output in the form of HAKI.

Application of Multimedia Man-Machine Interaction in College Physical Education Teaching

In the realm of physical education in college, the traditional classroom teaching approach primarily relies on paper textbooks and demonstrations by the teacher. However, in today's physical education classrooms, there is a need to change these traditional teaching methods. Utilizing multimedia technology and interactive interfaces, teachers can demonstrate the essential actions and intricate details through multimedia videos and other formats such as push-pull and shaking. This chapter introduces a multi-segment human body tracking algorithm that focuses on real-time tracking. The human body target is divided into multiple segments, and an online learning method based on Hough Forests is used to learn the overall appearance of the human body and the appearance model of each segment. The research findings indicate that when the merged area exceeds 82.36% of the pre-segmentation area using watershed analysis, smaller areas lead to faster segmentation speed, while larger areas result in slower segmentation speed. Compared to other methods, this approach yields better recognition results.

Fast Decision-Tree-Based Series Partitioning and Mode Prediction Termination Algorithm for H.266/VVC

With the advancement of network technology, multimedia videos have emerged as a crucial channel for individuals to access external information, owing to their realistic and intuitive effects. In the presence of high frame rate and high dynamic range videos, the coding efficiency of high-efficiency video coding (HEVC) falls short of meeting the storage and transmission demands of the video content. Therefore, versatile video coding (VVC) introduces a nested quadtree plus multi-type tree (QTMT) segmentation structure based on the HEVC standard, while also expanding the intra-prediction modes from 35 to 67. While the new technology introduced by VVC has enhanced compression performance, it concurrently introduces a higher level of computational complexity. To enhance coding efficiency and diminish computational complexity, this paper explores two key aspects: coding unit (CU) partition decision-making and intra-frame mode selection. Firstly, to address the flexible partitioning structure of QTMT, we propose a decision-tree-based series partitioning decision algorithm for partitioning decisions. Through concatenating the quadtree (QT) partition division decision with the multi-type tree (MT) division decision, a strategy is implemented to determine whether to skip the MT division decision based on texture characteristics. If the MT partition decision is used, four decision tree classifiers are used to judge different partition types. Secondly, for intra-frame mode selection, this paper proposes an ensemble-learning-based algorithm for mode prediction termination. Through the reordering of complete candidate modes and the assessment of prediction accuracy, the termination of redundant candidate modes is accomplished. Experimental results show that compared with the VVC test model (VTM), the algorithm proposed in this paper achieves an average time saving of 54.74%, while the BDBR only increases by 1.61%.

Adaptive Combined Channel Network Coding for Cognitive Radio Networks with Cooperative Relay

Cognitive radio is one of the new technologies for 4G/5G applications, so cooperative relay communication and network coding are considered as certain methods to help improve their re-spective applications. A primary broadcast system for multimedia video streaming applications that broad¬casts data to primary users and an auxiliary cooperative relay secondary cognitive ra-dio system are considered. The secondary cooperative overlay system can use multiple error control coding methods for point-to-point data retransmission, such as channel coding, network coding, and combi¬ned coding methods to improve system performance under variable link con-ditions. A new technique of adaptive coding of AC2NC combined channel network for data re-transmission is proposed. The new AC2NC first analyzes the channel feedback information and then selects the best retransmission coding technique based on the target bandwidth or trans-mission time optimization. This is instead of using a single static channel or a network coding technique with dynamic channel conditions. The proposed AC2NC improves system through-put, reduces retransmission time, and provides more spectrum access opportunities for the sec-ondary sys¬tem's own data transmissions. AC2NC's relative throughput and time saving capabil-ities for cognitive radio users have been shown to exceed ninety percent, under certain channel conditions, compared to some static coding methods.

Retracted: Research on Fast Compensation Algorithm for Interframe Motion of Multimedia Video Based on Manhattan Distance

Retracted: Research on Fast Compensation Algorithm for Interframe Motion of Multimedia Video Based on Manhattan Distance

Bayesian K-means clustering based quality of experience aware multimedia video streaming

<span>Media streaming is an essential approach for delivering multimedia information from the source distributor to the end-user through the Internet. Along with the development of more number of users and the spread of mobile devices, the availability and diversity of multimedia applications has also increased. Multimedia users primarily prioritize quality of experience (QoE), as they seek to access multimedia content with high availability and enjoy smooth video streaming in the shortest possible time. The impact of video delivery plays a significant role in QoE, which is efficiently made by delivering the content through a specialized content delivery network architecture. In this research, a Bayesian K-means clustering algorithm is proposed for the identification of QoE in multimedia video streaming. In this multimedia video streaming, the Amazon Prime video dataset is utilized for determining the performance of the proposed model. The proposed method is developed from the ‘Patching Up’ the video quality problem (PatchVQ) model, the from patches to pictures (PaQ-2-PiQ) model is utilized for the spatial feature extraction, and 3D ResNet-18 is utilized for temporal feature extraction. The proposed Bayesian K-means achieved a QoE reward function of 5,237.42 and 5841.36 as well as a fairness reward function of 5,841.36 and 8,732.08 at the speed of 1,500 kB/s and 2,000 kB/s respectively.</span>

Cooperative Transmission for Multimedia Video Distribution: Models, Algorithms and Implementation

Cooperative Transmission for Multimedia Video Distribution: Models, Algorithms and Implementation

USE OF INTERACTIVE MULTIMEDIA IN INCREASING MOTIVATION FOR LEARNING SCIENCE AT PRIMARY SCHOOL

This study aims to describe the implementation of interactive multimedia animation videos in increasing the learning motivation of grade 1 B students in the subject of Civics Education Theme 5, as well as the positive impacts that arise after the application of interactive multimedia animation videos in increasing the learning motivation of grade 1 B students at MI Al-Ishlah Jepara. The type of research used is field research with a qualitative approach. This study uses data collection techniques through the observation method, interview method with 6 subjects namely the principal, science subject teacher, curriculum teacher, and 3 students in grade 1 B, and the documentation method. The data analysis method used is through observation, interviews, and documentation. Test the validity of the data from this study using triangulation techniques with data analysis in the form of data collection, data reduction, data presentation, as well as drawing conclusions and verification. The results of this study can show that: 1) The implementation of interactive multimedia animation videos can increase students' learning motivation in several ways, namely the teacher explains the material using animated multimedia videos, students listen and pay attention, the teacher gives questions to students in turn as a form of for strengthening the level of understanding of students, the teacher provides evaluations in the form of worksheets to students in order to find out how successful students are in learning seen through the learning outcomes obtained. Thus, the application of interactive multimedia video animation is very appropriate to be used to increase students' learning motivation. 2) the positive impact when the application of interactive multimedia video animation takes place is that students can be enthusiastic in participating in lessons, they also look active, focused, responsive, and enthusiastic in the learning process and are able to understand the material well, so that the learning outcomes they get are maximized because they are motivated to learn.

Audio Description in Abstract Art

The aim of this article is to analyze the linguistic techniques used to develop the audio description (AD) for a multimedia video installation and to reflect critically upon creativity and “invisibility” of AD in abstract art. Considering AD as a type of intersemiotic translation, a functionalist approach to audio description (Mazur, 2020) was adopted as our theoretical framework. Taking into account that the main function of art is aesthetic (Eisner, 2022; Iseminger, 2004) and considering the main goals of the exhibition, we embarked in a challenging decision-making process to determine what linguistic and creative techniques to use our particular piece. Among those techniques, metaphors proved to be very effective tools. The results indicate that the main metaphors to describe abstract art were synesthesia, participation, and vocal emphasis metaphors. Another conclusion is related to the degree of creativity in audio describing abstract art and the boundaries that the audio describer can easily trespass by creating metaphors that go beyond the source domain of the original work. It is precisely here where the function of the art piece and the purpose of the exhibition play a crucial role in finding that balance between fidelity and creativity. Lay summary This article analyses the linguistic techniques used to create audio description —the translation of images into words mainly intended for blind audiences— for a multimedia video installation in an art museum. Taking into account that the main function of art is aesthetic (Iseminger, 2004) and considering the main goals of the exhibition, we embarked on a challenging decision-making process to determine what linguistic and creative techniques to use for our particular piece. Among those techniques, metaphors proved to be very effective tools (Luque Colmenero & Soler Gallego, 2020). The results indicate that the main metaphors to describe abstract art were synaesthesia —incorporation of sensations experienced by senses such as touch, smell or hearing—, and vocal emphasis. Another conclusion is related to the degree of creativity in audio describing abstract art and the boundaries that the audio describer can easily trespass by crafting metaphors that go beyond the original work. It is precisely here where the function of the art piece and the purpose of the exhibition play a crucial role in finding that balance between fidelity and creativity.

In the wake of canada’s violent eugenic legacies: An urgency to ReVision Fitness

ABSTRACT Eugenics is often misunderstood as a historical set of practices that mobilized outside of canada and ended after World War II. Less is known about canada’s influence on and participation in the practices/ideologies/movement, and even less about how contemporary fitness practices continue to be tethered to eugenics. ReVisioning Fitness aims to counter/refuse eugenic-infused fitness regimes designed to eliminate ‘unfit’ people, by centring the lived experiences of trans, non-binary, queer, Black, racialized, disabled, and fat/thick/thicc/curvy people. We created three-to-five-minute multimedia videos that express our fitness-related experiences and inventiveness. We explore the concept of ‘inclusionism’ and critiques of current anti-racism rhetoric and reflect on our videos across three themes: complexities of racism and other markers of difference; politics of rest in leisure; and unsettling white supremacy in fitness. We call on fitness stakeholders to examine our/their implicatedness in upholding eugenic underpinnings of fitness as a call to action to refuse anti-life agendas.

Armero

The objective of this article is to analyze the impact generated by multimedia videos published on YouTube, Facebook, and Instagram about Armero, to encourage memory tourism. The categories that are evidenced in this research are based on memory tourism and multimedia. This article is based on an analysis with a qualitative approach which will analyze the impact generated by the videos published on social networks about Armero to encourage memory tourism. The results are obtained through an analysis of 20 videos which contemplates: the title, content, and comments from viewers; multimedia content and video platforms have kept alive the history of Armero in different ways and feed memory tourism.