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multimedia learning

Li Liu, Zijia Lin, Ling Shao, Fumin Shen, Guiguang Ding, Jungong Han
With the dramatic development of the Internet, how to exploit large-scale retrieval techniques for multimodal web data has become one of the most popular but challenging problems in computer vision and multimedia. Recently, hashing methods are used for fast nearest neighbor search in large-scale data spaces, by embedding high-dimensional feature descriptors into a similarity-preserving Hamming space with a low dimension. Inspired by this, in this paper, we introduce a novel supervised cross-modality hashing framework which can generate unified binary codes for instances represented in different modalities...
October 19, 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
David Maidment, William Brassington, Heather Wharrad, Melanie Ferguson
Purpose: The purpose of the study was to assess whether Internet competency predicted practical hearing aid knowledge and handling skills in first-time hearing aid users. Method: The design was a prospective, randomized controlled trial of a multimedia educational intervention consisting of interactive video tutorials (or reusable learning objects [RLOs]). RLOs were delivered through DVD for TV or PC, and online. Internet competency was measured at the hearing aid fitting appointment, whereas hearing aid knowledge and practical handling skills were assessed 6 weeks postfitting...
October 1, 2016: American Journal of Audiology
G Iakimova, S Dimitrova, T Burté
OBJECTIVES: Computer-delivered Cognitive Behavioral Therapies (C-CBT) are emerging as therapeutic techniques which contribute to overcome the barriers of health care access in adult populations with depression. The C-CBTs provide CBT techniques in a highly structured format comprising a number of educational lessons, homework, multimedia illustrations and supplementary materials via interactive computer interfaces. Programs are often administrated with a minimal or regular support provided by a clinician or a technician via email, telephone, online forums, or during face-to-face consultations...
October 10, 2016: L'Encéphale
Litao Yu, Yang Yang, Zi Huang, Peng Wang, Jingkuan Song, Heng Tao Shen
In recent years, the task of event recognition from videos has attracted increasing interest in multimedia area. While most of the existing research was mainly focused on exploring visual cues to handle relatively small-granular events, it is difficult to directly analyze video content without any prior knowledge. Therefore, synthesizing both the visual and semantic analysis is a natural way for video event understanding. In this paper, we study the problem of Web video event recognition, where Web videos often describe large-granular events and carry limited textual information...
December 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
Jinhui Tang, Shiyu Chang, Guo-Jun Qi, Qi Tian, Yong Rui, Thomas S Huang
Recent advances in Multimedia ontology have resulted in a number of concept models, e.g., LSCOM and Mediamill 101, which are accessible and public to other researchers. However, most current research effort still focuses on building new concepts from scratch, very few work explores the appropriate method to construct new concepts upon the existing models already in the warehouse. To address this issue, we propose a new framework in this paper, termed LEGO1-MM, which can seamlessly integrate both the new target training examples and the existing primitive concept models to infer the more complex concept models...
September 22, 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
Romain Grandchamp, Arnaud Delorme
Recent theoretical and technological advances in neuroimaging techniques now allow brain electrical activity to be recorded using affordable and user-friendly equipment for nonscientist end-users. An increasing number of educators and artists have begun using electroencephalogram (EEG) to control multimedia and live artistic contents. In this paper, we introduce a new concept based on brain computer interface (BCI) technologies: the Brainarium. The Brainarium is a new pedagogical and artistic tool, which can deliver and illustrate scientific knowledge, as well as a new framework for scientific exploration...
2016: Computational Intelligence and Neuroscience
Kai Li, Guojun Qi, Jun Ye, Kien Hua
Hashing has attracted a great deal of research in recent years due to its effectiveness for the retrieval and indexing of large-scale high-dimensional multimedia data. In this paper, we propose a novel ranking-based hashing framework that maps data from different modalities into a common Hamming space where the cross-modal similarity can be measured using Hamming distance. Unlike existing cross-modal hashing algorithms where the learned hash functions are binary space partitioning functions, such as the sign and threshold function, the proposed hashing scheme takes advantage of a new class of hash functions closely related to rank correlation measures which are known to be scale-invariant, numerically stable, and highly nonlinear...
September 19, 2016: IEEE Transactions on Pattern Analysis and Machine Intelligence
Sousan Valizadeh, Hossein Feizalahzadeh, Mina Avari, Faza Virani
INTRODUCTION: Medication errors are risk factors for patients' health and may have irrecoverable effects. These errors include medication miscalculations by nurses and nursing students. This study aimed to design a multimedia application in the field of education for drug calculations in order to compare its effectiveness with the lecture method. METHODS: This study selected 82 nursing students of Tabriz University of Medical Sciences in their second and third semesters in 2015...
July 2016: Electronic Physician
Waqas Rehan, Stefan Fischer, Maaz Rehan
Wireless sensor networks (WSNs) have become more and more diversified and are today able to also support high data rate applications, such as multimedia. In this case, per-packet channel handshaking/switching may result in inducing additional overheads, such as energy consumption, delays and, therefore, data loss. One of the solutions is to perform stream-based channel allocation where channel handshaking is performed once before transmitting the whole data stream. Deciding stream-based channel allocation is more critical in case of multichannel WSNs where channels of different quality/stability are available and the wish for high performance requires sensor nodes to switch to the best among the available channels...
2016: Sensors
Laurel Hourani, Stephen Tueller, Paul Kizakevich, Gregory Lewis, Laura Strange, Belinda Weimer, Stephanie Bryant, Ellen Bishop, Robert Hubal, James Spira
The objective of this pilot study was to design, develop, and evaluate a predeployment stress inoculation training (PRESIT) preventive intervention to enable deploying personnel to cope better with combat-related stressors and mitigate the negative effects of trauma exposure. The PRESIT program consisted of three predeployment training modules: (1) educational materials on combat and operational stress control, (2) coping skills training involving focused and relaxation breathing exercises with biofeedback, and (3) exposure to a video multimedia stressor environment to practice knowledge and skills learned in the first two modules...
September 2016: Military Medicine
Jingkuan Song, Lianli Gao, Feiping Nie, Heng Shen, Yan Yan, Nicu Sebe
In multimedia annotation, due to the time constraints and the tediousness of manual tagging, it is quite common to utilize both tagged and untagged data to improve the performance of supervised learning when only limited tagged training data are available. This is often done by adding a geometry-based regularization term in the objective function of a supervised learning model. In this case, a similarity graph is indispensable to exploit the geometrical relationships among the training data points, and the graph construction scheme essentially determines the performance of these graph-based learning algorithms...
August 18, 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
H Maertens, A Madani, T Landry, F Vermassen, I Van Herzeele, R Aggarwal
BACKGROUND: Internet and software-based platforms (e-learning) have gained popularity as teaching tools in medical education. Despite widespread use, there is limited evidence to support their effectiveness for surgical training. This study sought to evaluate the effectiveness of e-learning as a teaching tool compared with no intervention and other methods of surgical training. METHODS: A systematic literature search of bibliographical databases was performed up to August 2015...
October 2016: British Journal of Surgery
Teresa Valero Gaspar, Paula Rodríguez-Alonso, Emma Ruiz Moreno, Susana Del Pozo de la Calle, José Manuel Ávila Torres, Gregorio Varela Moreiras
INTRODUCTION: Nutrition education contributes to children´s understanding and practice of healthy lifestyles behaviors. Having a well hydration status is an essential topic, especially since children are a vulnerable population who are much more  prone to dehydration than adults are. The approval of the Report on the European Gastronomic Heritage: Cultural and Educational Aspects in 2014 served as starting point to work on innovative audio-visual and multimedia materials for children...
2016: Nutrición Hospitalaria: Organo Oficial de la Sociedad Española de Nutrición Parenteral y Enteral
Di Wang, Xinbo Gao, Xiumei Wang, Lihuo He, Bo Yuan
Multimodal hashing, which conducts effective and efficient nearest neighbor search across heterogeneous data on large-scale multimedia databases, has been attracting increasing interest, given the explosive growth of multimedia content on the Internet. Recent multimodal hashing research mainly aims at learning the compact binary codes to preserve semantic information given by labels. The overwhelming majority of these methods are similarity preserving approaches which approximate pairwise similarity matrix with Hamming distances between the to-be-learnt binary hash codes...
October 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
Dawn Cram, Christopher J Roth, Alexander J Towbin
The decision to implement an orders-based versus an encounters-based imaging workflow poses various implications to image capture and storage. The impacts include workflows before and after an imaging procedure, electronic health record build, technical infrastructure, analytics, resulting, and revenue. Orders-based workflows tend to favor some imaging specialties while others require an encounters-based approach. The intent of this HIMSS-SIIM white paper is to offer lessons learned from early adopting institutions to physician champions and informatics leadership developing strategic planning and operational rollouts for specialties capturing clinical multimedia...
October 2016: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
Xiaojun Chang, Yi Yang
In this paper, we propose a novel semisupervised feature selection framework by mining correlations among multiple tasks and apply it to different multimedia applications. Instead of independently computing the importance of features for each task, our algorithm leverages shared knowledge from multiple related tasks, thus improving the performance of feature selection. Note that the proposed algorithm is built upon an assumption that different tasks share some common structures. The proposed algorithm selects features in a batch mode, by which the correlations between various features are taken into consideration...
July 7, 2016: IEEE Transactions on Neural Networks and Learning Systems
R A De Leeuw, M Westerman, E Nelson, J C F Ket, F Scheele
BACKGROUND: E-learning is driving major shifts in medical education. Prioritizing learning theories and quality models improves the success of e-learning programs. Although many e-learning quality standards are available, few are focused on postgraduate medical education. METHODS: We conducted an integrative review of the current postgraduate medical e-learning literature to identify quality specifications. The literature was thematically organized into a working model...
2016: BMC Medical Education
Hui-Chi Huang, Sophie Huey-Ming Guo
Swallowing problems have significant affect the health outcome of some residents in long-term care facilities. Nursing staff who care these residents should have the ability of assessing dysphagia. However, nursing continued education to improve the performance of dysphagia assessment is still challenged. To enhance nurses' capability of dysphagia assessment, a Multimedia Dysphagia Assessment learning System was developed for nursing staff in long-term care institutions. This system was evaluated by performing a user usability test...
2016: Studies in Health Technology and Informatics
Shannon L Toohey, Alisa Wray, Warren Wiechmann, Michelle Lin, Megan Boysen-Osborn
INTRODUCTION: Millennial learners are changing the face of residency education because they place emphasis on technology with new styles and means of learning. While research on the most effective way to teach the millennial learner is lacking, programs should consider incorporating educational theories and multimedia design principles to update the curriculum for these new learners. The purpose of the study is to discuss strategies for updating an emergency medicine (EM) residency program's curriculum to accommodate the modern learner...
May 2016: Western Journal of Emergency Medicine
Susana M Silva, José Paulo Andrade
Undergraduate neuroanatomy students are usually not able to achieve a clear comprehension of the spatial relationships existing between the white matter fiber tracts in spite of numerous neuroanatomy textbooks, atlases and multimedia tools. The objective of this paper is to show the educational value of the application of the Klingler fiber dissection technique and the use of these dissections in the understanding of the three-dimensional intrinsic anatomy of the brain white matter for medical students. Four formalin-fixed brains were dissected using the Klingler methodology in order to reveal the inner anatomical organization of the brain white matter...
June 18, 2016: Annals of Anatomy, Anatomischer Anzeiger: Official Organ of the Anatomische Gesellschaft
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