{"title":"HDR videocompression with VPX","authors":"P. Topiwala, W. Dai, M. Krishnan","doi":"10.1109/DMIAF.2016.7574904","DOIUrl":"https://doi.org/10.1109/DMIAF.2016.7574904","url":null,"abstract":"This paper present approaches to code HDR video using VP10, an open source video codec which is part of the WebM project developed by Google. Three techniques are developed in this paper: 1) An HDR video coding processing chain developed recently in standards committees (the Joint Collaborative Team on Video Coding, or JCT-VC, of ISO/IEC/ITU), but adapted to the VP10 codec, herein called HDR_VP10. 2) A modified version of HDR_VP10 with different intermediate color transforms and advanced sampling filters herein called FastVDO_ECHDR_VP10 and 3) FastVDO_HDR_VP10 that uses a new video data adaptive tuning process, which differs from the ST.2084 transfer function used in the anchor. HDR_VP10 is used as reference point for subjective and objective comparisons. Representative objective results for these systems include: (a) FastVDO_ECHDR_VP10, Overall results for RGB-PSNR, DE100, MD100, PSNRL100 were 8.0%, -3.5%, 46.2%, 2.9%; (b) FastVDO_HDR_VP10, Overall results for RGB-PSNR, DE100, MD100, PSNRL100 were -40.2%, -17.0%, -5.5% and -2.8% respectively. It is asserted (and for which there is appears to be fairly broad agreement) that such objective metrics are currently not very predictive of visual quality in HDR coding studies. FastVDO_HDR_VP10 shows a significant visual quality improvement on HDR_VP10.","PeriodicalId":404025,"journal":{"name":"2016 Digital Media Industry & Academic Forum (DMIAF)","volume":"118 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":"131507679","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":"Refining PRNU-based detection of image forgeries","authors":"Xufeng Lin, Chang-Tsun Li","doi":"10.1109/DMIAF.2016.7574937","DOIUrl":"https://doi.org/10.1109/DMIAF.2016.7574937","url":null,"abstract":"Photo Response Non-Uniformity (PRNU) noise can be considered as a spread-spectrum watermark embedded in every image taken by the source imaging device. It has been effectively used for localizing the forgeries in digital images. The noise residual extracted from the image in question is compared with the reference PRNU in a sliding-window based manner. If their normalized cross correlation, which servers as a decision statistic, is below a pre-determined threshold (e.g., by Neyman-Pearson criterion), the center pixel in the window is declared as forged. However, the decision statistic is calculated over the forged and the non-forged regions when the sliding window falls near the boundary of the two different regions. As a result, the corresponding pixels of the forged region are probably wrongly identified as genuine ones. To alleviate this problem, we analyze the correlation distribution in the problematic region and refine the detection by weighting the decision threshold based on the altered correlation distribution. The effectiveness of the proposed refining algorithm is confirmed through the results of detecting three different kinds of realistic image forgeries.","PeriodicalId":404025,"journal":{"name":"2016 Digital Media Industry & Academic Forum (DMIAF)","volume":"213 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":"114845664","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":"Intelligent driver assist system for urban driving","authors":"P. Ioannou, Yihang Zhang","doi":"10.1109/DMIAF.2016.7574917","DOIUrl":"https://doi.org/10.1109/DMIAF.2016.7574917","url":null,"abstract":"Driving in an urban environment is hectic and often adventurous. Getting accurate routing instructions, finding parking spots, receiving customized information that helps individual drivers reach their destination will significantly reduce the stress of driving, save fuel and reduce unnecessary delays and pollution levels. In this paper we present a system that combines smart navigation with intelligent parking assist and driver diagnostics to considerably improve driving comfort, safety and mobility in an urban environment. The smart navigation employs an on line traffic simulator which provides traffic predictions and improves the accuracy of existing navigation systems which rely on limited traffic data. The intelligent parking assist system predicts the availability of parking at the start of the journey and these predictions get updated as the destination is approached. The system uses machine learning to understand the habits and preferences of the individual driver so that the preferred parking availability information is presented to the driver. The driver diagnostics part learns the driving characteristics of the driver i.e. whether aggressive, semi aggressive or passive, reaction times, following distances etc. and provides this information to the smart navigation and parking assist system for better estimation of travel times. In addition, it can be used to support collision warnings and other driver assist devices. The proposed system has been successfully demonstrated using an AUDI vehicle in the area of Los Angeles and San Francisco.","PeriodicalId":404025,"journal":{"name":"2016 Digital Media Industry & Academic Forum (DMIAF)","volume":"49 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120924809","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}
K. Ho, E. Borycki, A. Kushniruk, C. Juhra, Martin Hernandez
{"title":"The health perspective in using digital media for health and wellness","authors":"K. Ho, E. Borycki, A. Kushniruk, C. Juhra, Martin Hernandez","doi":"10.1109/DMIAF.2016.7574895","DOIUrl":"https://doi.org/10.1109/DMIAF.2016.7574895","url":null,"abstract":"While most health systems serve the majority of their citizens well, each has its challenges and gaps that lead to inadvertent marginalization of certain populations. The engagement of traditional stakeholders in health - policy makers, patients, health professionals, health administrators - to address these issues are necessary but insufficient if unconventional solutions are to be discovered. Use of modern technologies to enable innovative approaches will require meaningful engagement of professional disciplines with technological expertise such as engineering, computer science, and health information science. Their involvement contributes unique and important perspectives in order to generate novel solutions to address health service quality, access, cost effectiveness, and innovation. This paper discusses the principles behind ideal collaboration between health professionals, engineers, computer scientists, and health informaticians to co-create health solutions, and cite literature based examples and case studies in British Columbia, Canada to illustrate the opportunities and challenges inherent in animating this collaboration between health professionals and technology experts. This paper will conclude with recommendations to stimulate and nurture interprofessional synergy towards success.","PeriodicalId":404025,"journal":{"name":"2016 Digital Media Industry & Academic Forum (DMIAF)","volume":"30 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":"125180512","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":"Modeling of user Quality of Experience in location aware smart spaces","authors":"Megan Becvarik, M. Devetsikiotis","doi":"10.1109/DMIAF.2016.7574934","DOIUrl":"https://doi.org/10.1109/DMIAF.2016.7574934","url":null,"abstract":"The increasing use of interactive technologies, digital media, and dynamic content in smart spaces such as libraries and museums is improving the user experience substantially. In well-designed learning spaces, digital content can itself become a service, possibly with creative and social output to interact with users. In this paper we study the quantitative modeling of the Quality of Experience (QoE) in immersive multi-media smart spaces, such as a library or future museum. Our focus is on combining the physical world with the digital world in order to obtain a single, combined QoE.","PeriodicalId":404025,"journal":{"name":"2016 Digital Media Industry & Academic Forum (DMIAF)","volume":"40 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":"133378192","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}
G. Ioannakis, C. Chamzas, A. Koutsoudis, N. Papamarkos, I. Pratikakis, F. Arnaoutoglou, N. Mitianoudis, Thomas Sgouros
{"title":"Applying conformal geometry for creating a 3D model spatial-consistent texture map","authors":"G. Ioannakis, C. Chamzas, A. Koutsoudis, N. Papamarkos, I. Pratikakis, F. Arnaoutoglou, N. Mitianoudis, Thomas Sgouros","doi":"10.1109/DMIAF.2016.7574914","DOIUrl":"https://doi.org/10.1109/DMIAF.2016.7574914","url":null,"abstract":"The aim of this research is to achieve spatial consistency of the UV map. We present an approach to produce a fully spatially consistent UV mapping based on the planar parameterisation of the mesh. We apply our method on a 3D digital replica of an ancient Greek Lekythos vessel. We parameterise the mesh of a 3D model onto a unit square 2D plane using computational conformal geometry techniques. The proposed method is genus independent, due to an iterative 3D mesh cutting procedure. Having now the texture of a 3D model depicted on a spatially continuous two dimensional structure enables us to efficiently apply a vast range of image processing based techniques and algorithms.","PeriodicalId":404025,"journal":{"name":"2016 Digital Media Industry & Academic Forum (DMIAF)","volume":"1 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":"130758527","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}
Chin-Feng Lai, Dong-Yu Song, Ren-Hung Hwang, Ying-Xun Lai
{"title":"A QoS-aware streaming service over fog computing infrastructures","authors":"Chin-Feng Lai, Dong-Yu Song, Ren-Hung Hwang, Ying-Xun Lai","doi":"10.1109/DMIAF.2016.7574909","DOIUrl":"https://doi.org/10.1109/DMIAF.2016.7574909","url":null,"abstract":"The cloud computing technology gradually brings every service online that makes all data and information of services is stored in cloud storage. However, there are real-time services such as multimedia streaming and emergency notification that require sensitive response and low latency. Regarding of the cloud computing, the data transmission between the end-users and the cloud significantly increases the response latency and limits the user coverage, thus preventing cloud streaming services to achieve high user quality of service. To this end, a QoS-aware streaming service over fog computing infrastructures is proposed to relieve the traditional content delivery issues by adapting the video to the current network conditions and possibly exploiting local computing resources. Fog computing is designed to extend the edge of the cloud network in order to decrease the latency and network congestion. Experimental results show the proposed mechanism enables service providers to improve resource utilization and quality of service by incorporating information from different layers in order to deliver and adapt a video in its best possible quality over fog computing infrastructures.","PeriodicalId":404025,"journal":{"name":"2016 Digital Media Industry & Academic Forum (DMIAF)","volume":"155 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":"123366447","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":"Approaches to high dynamic range video","authors":"T. Borer, A. Cotton, M. Pindoria, S. Thompson","doi":"10.1109/DMIAF.2016.7574905","DOIUrl":"https://doi.org/10.1109/DMIAF.2016.7574905","url":null,"abstract":"The television industry is excited about high dynamic range (HDR) video and its potential for dramatic improvements in picture quality. Together with wide colour gamut, brighter displays and ultra-high definition resolution, HDR represents a fundamental change in television which is, arguably, the biggest change since the development of colour television. This paper considers emerging approaches to high dynamic range video. Two complementary approaches are the focus of standardisation efforts in organisations such as the International Telecommunication Union (ITU) in ITU-R SG6 and VCEG/JCTVC/MPEG. The Hybrid Log-Gamma (HLG) approach is \"scene referred\", where the video signal represents light captured by a camera. The alternative approach to television, called Perceptual Quantisation (PQ), is \"display referred\", where the signal represents light emitted by a reference display. This paper contrasts the HLG and PQ approaches to HDR video. It describes the role of non-linearities within the TV system. The opto-electronic transfer function (OETF) and the electro-optical transfer function (EOTF), implemented within camera and display respectively, minimise the number of bits required for an in fixed point video format. The opto-optical transfer function (OOTF) is a psychovisual adjustment to ensure perceptually consistent images. New experimental results are presented that show how the gamma exponent of a power function OOTF should vary with peak display luminance. The importance of applying OOTF to the luminance in HDR video is also considered.","PeriodicalId":404025,"journal":{"name":"2016 Digital Media Industry & Academic Forum (DMIAF)","volume":"5 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":"122924704","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":"Improvements on HDR10","authors":"P. Topiwala, W. Dai, M. Krishnan","doi":"10.1109/DMIAF.2016.7574893","DOIUrl":"https://doi.org/10.1109/DMIAF.2016.7574893","url":null,"abstract":"This paper presents two approaches to coding HDR/WCG video, by modifying certain components of an HDR video processing chain developed recently in standards committees (the Joint Collaborative Team on Video Coding, or JCT-VC, of ITU|ISO/IEC), which is an HDR10 compliant system (the “anchor”). One approach, called FastVDO_ECHDR, differs from the anchor in two tools: the intermediate color representation, and the chroma resampling filters. A second approach, called FastVDO_HDR, further uses a new video data adaptive tuning process, which differs from the ST.2084 transfer function used in the anchor. It is asserted that both systems perform well, with subjective visual quality superior to the output of an HDR10 anchor. Representative objective results for these systems include: (a) FastVDO_ECHDR, results for RGB-PSNR, DE100, MD100 were -1.1%, 10.3%, 38% respectively; (b) FastVDO_HDR, results for RGB-PSNR, DE100, MD100, were - 43.7%, -3.3%, -33.7% respectively.","PeriodicalId":404025,"journal":{"name":"2016 Digital Media Industry & Academic Forum (DMIAF)","volume":"25 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":"114552561","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}
Vasileios Gavriilidis, A. Tefas, Constantine Kotropoulos, N. Nikolaidis
{"title":"Enhanced similarities for a music Recommender System","authors":"Vasileios Gavriilidis, A. Tefas, Constantine Kotropoulos, N. Nikolaidis","doi":"10.1109/DMIAF.2016.7574913","DOIUrl":"https://doi.org/10.1109/DMIAF.2016.7574913","url":null,"abstract":"Music is an essential part of human life. It is a way to express ourselves. Its importance gave rise to music Recommender Systems (RS) through e-commerce applications. The most commonly used technique in such applications is Collaborative Filtering (CF) that uses the User-Item (UI) matrix. The latter codes the users' preferences for items. The advantage of using CF methods is their simplicity and their relatively high efficiency. However, data sparsity deteriorates their efficiency. In this paper, we propose a process that can enhance the similarities among users in a way that can address the sparsity problem. The proposed user based CF algorithm alters the values of similarity matrix between users by incorporating a graph based method, improving the performance of the RS. We also propose a method that groups users using spectral clustering and together with the graph-based similarity method yield even more accurate predictions. Experiments have been conducted on a music dataset, highlighting the superiority of the proposed method against typical user-based CF.","PeriodicalId":404025,"journal":{"name":"2016 Digital Media Industry & Academic Forum (DMIAF)","volume":"15 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":"121942988","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}