Martin Hernandez, C. Juhra, A. Kushniruk, E. Borycki, K. Ho
{"title":"Innovations and technologies for health and wellness","authors":"Martin Hernandez, C. Juhra, A. Kushniruk, E. Borycki, K. Ho","doi":"10.1109/DMIAF.2016.7574898","DOIUrl":"https://doi.org/10.1109/DMIAF.2016.7574898","url":null,"abstract":"The technological revolution of the 21st Century has been impressive and mind boggling. It has a major impact in all the fields, but probably one with a highest impact is health. If we connect the speed impact and transformation of the technology with the importance for society of wellness and health and the millennial vision of here and now, instant responses open tremendous opportunities for technology to deliver the benefits that the individuals are looking for. Three basic concepts are fundamental elements that make health and well-being a specific target for technology to develop tools and processes of information evaluation and gathering that can make a difference in every human life. These 3 fundamental concepts of our human body are: 1- Structure 2- Function 3- Variations Having thorough technology to gather information from anthropometrics to body composition all the way through the nano level have created potent tools to observe the healthy parameters as well as the deviations that can signal the presence of a disease. The same applies for the physiology from the basics of organ and systems measurements to their interaction with biomechanics and molecular biology, genomics, proteomics that help to understand pathways, energy use and how to measure the evidence of an appropriate function to signify health. And finally, understanding that life models do not follow our rigid process for its outputs and throughputs and these variations can be analyzed and interpreted through statistics and bioinformatics to defy the ranges where health and wellness are present and the deviations that the disease produces. My intention is to show you several examples and applications where we can find the importance of this modeling to develop the tools and technologies that will benefit human kind in the following decades.","PeriodicalId":404025,"journal":{"name":"2016 Digital Media Industry & Academic Forum (DMIAF)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133580257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Kushniruk, E. Borycki, C. Juhra, Martin Hernandez, K. Ho
{"title":"The human-computer user interface and patient safety: Introducing new technologies in healthcare effectively and safely","authors":"A. Kushniruk, E. Borycki, C. Juhra, Martin Hernandez, K. Ho","doi":"10.1109/DMIAF.2016.7574896","DOIUrl":"https://doi.org/10.1109/DMIAF.2016.7574896","url":null,"abstract":"Health information technology (HIT) promises to modernize healthcare, lead to efficiencies and to reduce medical error. However, the literature has shown that if HIT is not designed and tested properly, systems such as electronic health records (EHRs) and personal health records (PHRs) may actually inadvertently introduce new types of errors that are termed technology-induced errors. Such error may result from the complex interplay of health professional, patients and the HIT deployed in the healthcare system and currently they may not be easily detectable until systems are deployed. In order to deal with this, in this paper we describe a framework for detecting and rectifying technology-induced errors before they are propagated in the healthcare system and for implementing systems in a safe and effective manner. It is argued that in order to do this, it will require a layered approach to system design and testing involving application of usability testing methods along with application of clinical simulations. The paper describes a promising approach that involves multiple methods for ensuring system safety in healthcare.","PeriodicalId":404025,"journal":{"name":"2016 Digital Media Industry & Academic Forum (DMIAF)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133658105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Remote rendering of High Dynamic Range graphics content","authors":"Josh McNamee, K. Debattista, A. Chalmers","doi":"10.1109/DMIAF.2016.7574891","DOIUrl":"https://doi.org/10.1109/DMIAF.2016.7574891","url":null,"abstract":"A large amount of computer graphics content is now regularly rendered in High Dynamic Range (HDR). The computational requirements of this are such that this rendering is typically done remotely. As the data requirements of HDR are large, compression is required if the resultant HDR frames are to be streamed efficiently to where they are required on existing ICT infrastructure. This paper investigates augmenting video streaming of computer generated HDR graphics using metadata available from the rendering engine which is not typically accessible for real-world HDR video streaming. In particular depth, geometry and motion information is used to produce an efficient stream for transmission. This is combined with state-of-the-art techniques for encoding HDR video to produce a highly efficient means of steaming HDR video of graphics content.","PeriodicalId":404025,"journal":{"name":"2016 Digital Media Industry & Academic Forum (DMIAF)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133734174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Portable holoscopic 3D camera adaptor for Raspberry Pi","authors":"Abdulrahman Albar, M. Swash","doi":"10.1109/DMIAF.2016.7574929","DOIUrl":"https://doi.org/10.1109/DMIAF.2016.7574929","url":null,"abstract":"Holoscopic 3D imaging (also known as Integral imaging) is a promising technique for capturing full colour spatial images using a single aperture holoscopic 3D camera. It mimics fly's eye technique with a microlens array, which will view the scene at a slightly different angle to its adjacent lens that records three-dimensional information onto two-dimensional surface. To date, holoscopic 3D camera adaptors are designed and prototyped for a large scale SLR cameras. This paper proposes an innovative design solution for prototyping a holoscopic 3D camera adaptor for Raspberry Pi, which is a credit-card-sized single board computer. This proposed method extends utilisation of holoscopic 3D imaging and enables the expansion of the technology for various trends applications such as security, medical, entertainment, inspection, autonomous and robotics systems where 3D depth sensing and measurement are concern.","PeriodicalId":404025,"journal":{"name":"2016 Digital Media Industry & Academic Forum (DMIAF)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116143235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Innovative holoscopic 3D image resampling method","authors":"S. Hosseini, M. Swash","doi":"10.1109/DMIAF.2016.7574932","DOIUrl":"https://doi.org/10.1109/DMIAF.2016.7574932","url":null,"abstract":"Holoscopic 3D imaging (also known as Integral imaging) is a true light field imaging system that mimics fly's eye technique for capturing full colour spatial images using a single aperture holoscopic 3D camera. The fly's eye microlens array view the scene at a slightly different angle to its adjacent lens that records three-dimensional information onto two-dimensional surface. As a result, the display must have the exact optical component for reconstruction of a 3D scene from the recorded holoscopic 3D image. This paper proposes an innovative holoscopic 3D image resampling method to enable replay holoscopic 3D content, captured with different pixels per lens. Two different innovative holoscopic 3D image resampling techniques are proposed to facilitate effective holoscopic 3D content creation by manipulating elemental image pixels.","PeriodicalId":404025,"journal":{"name":"2016 Digital Media Industry & Academic Forum (DMIAF)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132282023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Ngai, Stephan Brandauer, A. Shrestha, K. Vandikas
{"title":"Personalized mobile-assisted smart transportation","authors":"E. Ngai, Stephan Brandauer, A. Shrestha, K. Vandikas","doi":"10.1109/DMIAF.2016.7574923","DOIUrl":"https://doi.org/10.1109/DMIAF.2016.7574923","url":null,"abstract":"Digital media covers larger parts of our daily lives nowadays. Mobile services enable a better connected society where citizens can easily access public services, discover events, and obtain important information in the city. We observe the popularity of mobile car sharing applications, such as Uber and Didi Dache. Mobile social applications provide new ways of developing and optimizing public transportation. In this paper, we present a mobile platform for timetable-free traveling. It can capture the traffic demand of citizens in real-time, and support efficient planning and scheduling for vehicles on-demand. At the moment, the platform is targeted for public bus services, but it has great potential to be extended for self-driving vehicles in the future.","PeriodicalId":404025,"journal":{"name":"2016 Digital Media Industry & Academic Forum (DMIAF)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117016852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ran Dubin, O. Hadar, Itay Richman, Ofir Trabelsi, A. Dvir, Ofir Pele
{"title":"Video quality representation classification of Safari encrypted DASH streams","authors":"Ran Dubin, O. Hadar, Itay Richman, Ofir Trabelsi, A. Dvir, Ofir Pele","doi":"10.1109/DMIAF.2016.7574935","DOIUrl":"https://doi.org/10.1109/DMIAF.2016.7574935","url":null,"abstract":"The increasing popularity of HTTP adaptive video streaming services has dramatically increased bandwidth requirements on operator networks, which attempt to shape their traffic through Deep Packet Inspection (DPI). However, Google and certain content providers have started to encrypt their video services. As a result, operators often encounter difficulties in shaping their encrypted video traffic via DPI. This highlights the need for new traffic classification methods for encrypted HTTP adaptive video streaming to enable smart traffic shaping. These new methods will have to effectively estimate the quality representation layer and playout buffer. We present a new method and show for the first time that video quality representation classification for (YouTube) encrypted HTTP adaptive streaming is possible. We analyze the performance of this classification method with Safari over HTTPS. Based on a large number of offline and online traffic classification experiments, we demonstrate that it can independently classify, in real time, every video segment into one of the quality representation layers with 96.13% average accuracy.","PeriodicalId":404025,"journal":{"name":"2016 Digital Media Industry & Academic Forum (DMIAF)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130287333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Farzad Amirjavid, P. Spachos, Liang Song, K. Plataniotis
{"title":"Integrated OPM wireless for Smart Home","authors":"Farzad Amirjavid, P. Spachos, Liang Song, K. Plataniotis","doi":"10.1109/DMIAF.2016.7574919","DOIUrl":"https://doi.org/10.1109/DMIAF.2016.7574919","url":null,"abstract":"Indoor wireless transceivers connect sensors and actuators, which are carried by a mobile agent to the Smart Home Information System (SHIS). In the smart home, the sensors' role is to observe the human activities and home status, while the actuators are to perform assistive and recovery actions for serving the home resident. The SHIS then analyzes the sensors' data and issues the actuation commands for the task of activity recognition and technological assistance provision. By integrating the wireless network management system with the activity recognition system, we could improve three key parameters in the smart home. First, we could apply sensors and actuators efficiently, by spatially positioning the sensors and actuators in the right place at right time. Second, we could decrease the communication delay, by managing the wireless transceivers at the physical and data-link layer. Third, we let SHIS access the Received Signal Strength Indication (RSSI) information, so it considers the spatiotemporal features of the mobile agent observations as additive information for activity recognition. The main ideas of this paper are examined through experimentation with the use of an Opportunistic Mesh (OPM) platform.","PeriodicalId":404025,"journal":{"name":"2016 Digital Media Industry & Academic Forum (DMIAF)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127868975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Detecting formula based on Stroke Width Transform for online Chinese examination question retrieval","authors":"Yu Sun, Wenxue Wang, Honggang Zhang, Zhanyu Ma","doi":"10.1109/DMIAF.2016.7574920","DOIUrl":"https://doi.org/10.1109/DMIAF.2016.7574920","url":null,"abstract":"More and more students prefer to submit the questions captured by cell phone to the image recognition and retrieval system to find the answers when they are self-taught. In this paper, we propose a new method to detect formulas in text lines captured by cell phone in natural conditions for online Chinese examination question retrieval. First, we use the stroke width transform algorithm to get the initial text lines. Second, we take an improved measure to merge these initially scattered text lines into principal text lines, which can be used for the following operation. Next, characters in the text lines are segmented by projection method and marked as Chinese character or non-Chinese-character automatically by some features. If the neighboring characters match the limit conditions, they will be detected as a formula and be extracted. Since some formulas are higher than the localized text lines which they belong to, an extension operation will be done to the extracted formula in the vertical direction to get the complete formula. We tested our method on some data sets, and the result shows that our method is satisfactory for various subjects.","PeriodicalId":404025,"journal":{"name":"2016 Digital Media Industry & Academic Forum (DMIAF)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114169037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Miguel Hernández-Cabronero, Victor Sanchez, F. Aulí-Llinàs, J. Serra-Sagristà
{"title":"Lossy compression of natural HDR content based on multi-component Transform optimization","authors":"Miguel Hernández-Cabronero, Victor Sanchez, F. Aulí-Llinàs, J. Serra-Sagristà","doi":"10.1109/DMIAF.2016.7574894","DOIUrl":"https://doi.org/10.1109/DMIAF.2016.7574894","url":null,"abstract":"Linear multi-component transforms (MCTs) are commonly employed for enhancing the coding performance for the compression of natural color images. Popular MCTs such as the RGB to Y'CbCr transform are not optimized specifically for any given input image. Data-dependent transforms such as the Karhunen-Loève Transform (KLT) or the Optimal Spectral Transform (OST) optimize some analytical criteria (e.g., the inter-component correlation or mutual information), but do not consider all aspects of the coding system applied to the transformed components. Recently, a framework that produces optimized MCTs dependent on the input image and the subsequent coding system was proposed for 8-bit pathology whole-slide images. This work extends this framework to higher bitdepths and investigate its performance for different types of high-dynamic range (HDR) contents. Experimental results indicate that the optimized MCTs yield average PSNR results 0.17%, 0.47% and 0.63% higher than those of the KLT for raw mosaic images, reconstructed HDR radiance scenes and color graded HDR contents, respectively.","PeriodicalId":404025,"journal":{"name":"2016 Digital Media Industry & Academic Forum (DMIAF)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122069130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}