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International Conference on Virtual Systems and MultiMedia

作者： Nils Fredrik Kleven Ekaterina Prasolova-Førland Mikhail Fominykh Arne Hansen Guri Rasmussen Lisa Millgård Sagberg Frank Lindseth Department of Computer and Information Science Norwegian University of Science and Technology Norway Program for learning with ICT Norwegian University of Science and Technology Norway Faculty of Nursing Sør-Trøndelag University College Norway Department of Neurosurgery St. Olav's University Hospital Norway Department of Medical Technology SINTEF Norway

The purpose of this work is to contribute to the design and development of a virtual university hospital as a place for educational activities. The findings presented in this paper are based on two exploratory studies using a virtual operating room with both medical and non-medical participants. The room was designed to recreate a real one at St. Olav's university hospital in Trondheim, Norway. The first participant category was represented by surgical and anesthesia postgraduate nursing students who conducted role-play of realistic and relevant scenarios in the virtual operating room. The non-medical participants went on a virtual guided tour around in the same operating room. Both participant groups provided suggestions for further development of the virtual hospital. We have also investigated the use of the Oculus Rift, a head mounted display, as a way of enhancing the immersion at the virtual operating room. The paper highlights and discusses the most important findings, with suggestions of future work.

关键词： Hospitals Three-dimensional displays Avatars Surgery Training computers

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An interactive system building 3D environment using a moving depth sensor

An interactive system building 3D environment using a moving...

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13th International Conference on Computational Science and Its Applications, ICCSA 2013

作者： Pham, Duy Doan, Nghia Huu Dinh, Thang Ba Dinh, Tien Ba Advanced Program in Computer Science Faculty of Information Technology VNU - University of Science Ho Chi Minh City Viet Nam

ISBN: (纸本)9783642396397

We present an interactive system helping reconstruct a 3D indoor environment and manipulate it using a moving 3D sensor. Our system takes the depth stream from a depth sensor and converts it into point clouds. After that, the pose of the 3D sensor is tracked in real-time by matching the current point cloud to those from all previous frames;in the next step, it is mapped to a unique world point cloud in order to build the 3D model of that environment. Tracking the 3D sensor in real-time helps automatically fill the holes from the model, where the previous frames has not covered, making the model complete. Once the 3D model of the environment is ready, our system allows us to either add more 3D objects on it or remove an existing one. Here, we propose two different 3D object segmentation methods, which is the core module of our object removal function, for evaluation: a K-means based algorithm for simple models, and a graph-based algorithm for complex models. The system is tested and evaluated on various indoor environments. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Image reconstruction

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Cross-camera vehicle tracking via affine invariant object matching for video forensics applications

Cross-camera vehicle tracking via affine invariant object ma...

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2013 IEEE International Conference on Multimedia and Expo, ICME 2013

作者： Hsu, Chao-Yung Kang, Li-Wei Mark Liao, Hong-Yuan Institute of Information Science Academia Sinica Taipei Taiwan Graduate School of Engineering Science and Technology-Doctoral Program Department of Computer Science and Information Engineering National Yunlin University of Science and Technology Yunlin Taiwan

ISBN: (纸本)9781479900152

The recent deployment of very large-scale camera networks consisting of fixed/moving surveillance cameras and vehicle video recorders, has led to a novel field in object tracking problem. The major goal is to detect and track each vehicle within a large area, which can be applied to video forensics. For example, a suspected vehicle can be automatically identified for mining digital criminal evidences from a large amount of video data. In this paper, we propose an efficient cross-camera vehicle tracking technique via affine invariant object matching. More specifically, we formulate the problem as invariant image feature matching among different viewpoints of cameras. To achieve vehicle matching, we first extract invariant image feature based on ASIFT (affine and scale-invariant feature transform) for each detected vehicle in a camera network. Then, to improve the accuracy of ASIFT feature matching between images from different viewpoints, we propose to efficiently match feature points based on our observed spatially invariant property of ASIFT, as well as the min-hash technique. As a result, cross-camera vehicle tracking can be efficiently and accurately achieved. Experimental results demonstrate the efficacy of the proposed algorithm and the feasibility to video forensics applications. © 2013 IEEE.

关键词： Tracking (position)

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Error analysis for RADAR neighbor matching localization in linear logarithmic strength varying Wi-Fi environment

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The Scientific World Journal 2014年第1期2014卷 647370页

作者： Zhou, Mu Tian, Zengshan Xu, Kunjie Yu, Xiang Wu, Haibo Chongqing Key Lab of Mobile Communications Technology Chongqing University of Posts and Telecommunications Chongqing 400065 China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Kowloon Hong Kong Graduate Telecommunications and Networking Program University of Pittsburgh Pittsburgh PA 15260 United States China Internet Research Lab Computer Network Information Center Chinese Academy of Sciences Beijing 100190 China

This paper studies the statistical errors for the fingerprint-based RADAR neighbor matching localization with the linearly calibrated reference points (RPs) in logarithmic received signal strength (RSS) varying Wi-Fi environment. To the best of our knowledge, little comprehensive analysis work has appeared on the error performance of neighbor matching localization with respect to the deployment of RPs. However, in order to achieve the efficient and reliable location-based services (LBSs) as well as the ubiquitous context-awareness in Wi-Fi environment, much attention has to be paid to the highly accurate and cost-efficient localization systems. To this end, the statistical errors by the widely used neighbor matching localization are significantly discussed in this paper to examine the inherent mathematical relations between the localization errors and the locations of RPs by using a basic linear logarithmic strength varying model. Furthermore, based on the mathematical demonstrations and some testing results, the closed-form solutions to the statistical errors by RADAR neighbor matching localization can be an effective tool to explore alternative deployment of fingerprint-based neighbor matching localization systems in the future. © 2014 Mu Zhou et al.

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Using emotional context from article for contextual music recommendation 13

Using emotional context from article for contextual music re...

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21st ACM International Conference on Multimedia, MM 2013

作者： Chen, Chih-Ming Tsai, Ming-Feng Liu, Jen-Yu Yang, Yi-Hsuan Department of Computer Science Program in Digital Content and Technology National Chengchi University Taipei 11605 Taiwan Research Center for Information Technology Innovation Academia Sinica Taipei 11564 Taiwan

ISBN: (纸本)9781450324045

This paper proposes a context-aware approach that recommends music to a user based on the user's emotional state predicted from the article the user writes. We analyze the association between user-generated text and music by using a real-world dataset with tripartite information collected from the social blogging website LiveJournal. The audio information represents various perceptual dimensions of music listening, including danceability, loudness, mode, and tempo;the emotional text information consists of bag-of-words and three dimensional affective states within an article: valence, arousal and dominance. To combine these factors for music recommendation, a factorization machine- based approach is taken. Our evaluation shows that the emotional context information mined from user-generated articles does improve the quality of recommendation, com- paring to either the collaborative filtering approach or the content-based approach. Copyright © 2013 ACM.

关键词： Collaborative filtering

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A study of stereoscopic 3D technology development trends on mobile

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International Conference on IT Convergence and Security, ICITCS 2012

作者： Kim, Cheong-Ghil Park, Se-Hwan Back, Bong-Jin Whangbo, Taeg-Keun Department of Computer Science Namseoul University Cheonan Korea Republic of ReSEAT Program Korea Institute of Science and Technology Information Seoul Korea Republic of Department of Computer Science Gachon University Seongnam Korea Republic of

ISBN: (纸本)9789400758599

The rapid increase of mobile internet and digital technologies has shown an increased interest in demand for stereoscopic 3D to provide 3D digital contents on mobile. Furthermore, the fast growing LCD technology has already allowed 3D viewings even in Smartphone. As a result, the issues related with stereo imaging have been spotlighted greatly. This paper presents a brief overview of rapid developments in stereoscopic technologies for mobile devices to gain some perspective on the changes and progress with special emphasis on mobile 3D TV services. © 2013 Springer Science+Business Media.

关键词： Smartphones

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Haze effect removal from image via haze density estimation in optical model

Haze effect removal from image via haze density estimation i...

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作者： Yeh, Chia-Hung Kang, Li-Wei Lee, Ming-Sui Lin, Cheng-Yang Department of Electrical Engineering National Sun Yat-sen University 804 Taiwan Graduate School of Engineering Science and Technology-Doctoral Program Department of Computer Science and Information Engineering National Yunlin University of Science and Technology Yunlin 640 Taiwan Graduate Institute of Networking and Multimedia Department of Computer Science and Information Engineering National Taiwan University Taipei 106 Taiwan

Images/videos captured from optical devices are usually degraded by turbid media such as haze, smoke, fog, rain and snow. Haze is the most common problem in outdoor scenes because of the atmosphere conditions. This paper proposes a novel single image-based dehazing framework to remove haze artifacts from images, where we propose two novel image priors, called the pixel-based dark channel prior and the pixel-based bright channel prior. Based on the two priors with the haze optical model, we propose to estimate atmospheric light via haze density analysis. We can then estimate transmission map, followed by refining it via the bilateral filter. As a result, high-quality haze-free images can be recovered with lower computational complexity compared with the state-of-the-art approach based on patch-based dark channel prior. ©2013 Optical Society of America.

关键词： Pixels

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Restoring surfaces after removing objects in indoor 3D point clouds

Restoring surfaces after removing objects in indoor 3D point...

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4th Symposium on information and Communication technology, SoICT 2013

作者： Doan, Nghia Huu Pham, Duy Dinh, Tien Ba Dinh, Thang Ba Advanced Program in Computer Science VNU-University of Science Ho Chi Minh City Viet Nam Faculty of Information Technology VNU-University of Science Ho Chi Minh City Viet Nam

ISBN: (纸本)9781450324540

In this paper, we present fast approaches for object segmentation and surface restoration of indoor 3D point clouds, which are the results of 3D reconstruction methods or range scanners. These two problems are significant in constructing a augmented reality system using a range camera to build a virtual environment and provide the interaction mechanisms to the virtual model. For point-cloud segmentation, we apply a density-based clustering algorithm to extract the desired object after removing its ground planes. This low-complexity method gives stable results with high accuracy. After the segmented object has been removed, a restoration algorithm is proposed in such a case that the holes on the ground plane are revealed by removed objects. These holes are there because the corresponding surfaces are hidden by the segmented objects in the scanner phase. The process of filling the holes includes an object-ground-plane detection, a geometric restoration and a color fusion step. The newly added points are directly interpolated from the existing object points, which cover the holes in the original point clouds. Our approaches are experimented through a variety of test datasets and yield promising results. Copyright © 2013 ACM.

关键词： Restoration

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11th German Conference on Chemoinformatics (GCC 2015) Abstracts

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JOURNAL OF CHEMINFORMATICS 2016年第SUPPL 1期8卷 1-27页

作者： [Anonymous] GDCh-CIC Division Associated Board Member Beilstein-Institut zur Förderung der Chemischen Wissenschaften Trakehner Str. 7-9 60487 Frankfurt Germany. ufechner@beilstein-institut.de. Division Medicinal Chemistry Amsterdam Institute for Molecules Medicines and Systems (AIMMS) VU University Amsterdam The Netherlands. Centre for Bioinformatics Uni Hamburg Bundesstr. 43 20146 Hamburg Germany. Sanofi-Aventis Deutschland GmbH 65926 Frankfurt am Main Germany. stefan.guessregen@***. Sanofi-Aventis Deutschland GmbH 65926 Frankfurt am Main Germany. GlaxoSmithKline Stevenage SG1 2NY UK. nicola.j.richmond@***. Discngine Paris 75011 France. Organisch-Chemisches Institut Westfälische Wilhelms-Universität Münster Germany. marwin.segler@wwu.de. Organisch-Chemisches Institut Westfälische Wilhelms-Universität Münster Germany. Bundeskriminalamt Wiesbaden Central Analytics II 65173 Wiesbaden Germany. Department of Chemistry and Biochemistry University of California Santa Barbara CA 93111 USA. shea@chem.ucsb.edu. Department of Chemistry and Biochemistry University of California Santa Barbara CA 93111 USA. Chemistry Department Ludwig-Maximilians-Universität München Butenandtstr. 7 81377 Munich Germany. Inorganic Chemistry and Center for Nanointegration University of Duisburg-Essen Essen Germany. CAM-D Technologies Essen Germany. Institute for Bioinformatics and Chemoinformatics Westphalian University of Applied Sciences Recklinghausen Germany. Institute for Bioinformatics and Chemoinformatics Westphalian University of Applied Sciences Recklinghausen Germany. achim.zielesny@w-hs.de. Leiden University Leiden Netherlands. j.fraaije@chem.leidenuniv.nl. Culgi BV Berlin Germany. Physikalische Chemie III TU Dortmund 44227 Dortmund Germany. stefan.kast@tu-dortmund.de. Centre for Molecular Informatics Department of Chemistry University of Cambridge Lensfield Road Cambridge CB2 1EW United Kingdom. kcb27@cam.ac.uk. Centre for Molecular Informatics Department of Chemistry

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Systematic use of computational methods allows stratification of treatment responders in glioblastoma multiforme

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Systems Biomedicine 2013年第2期1卷 130-136页

作者： Riku Louhimo Viljami Aittom?ki Ali Faisal Marko Laakso Ping Chen Kristian Ovaska Erkka Valo Leo Lahti Vladimir Rogojin Samuel Kaski Sampsa Hautaniemi* Systems Biology Laboratory Genome-scale Biology Research Program University of Helsinki Helsinki Institute of Information Technology (HIIT) Department of Information and Computer Science Aalto University

Background:Cancers are complex diseases whose comprehensive characterization requires genome-scale molecular data at multiple levels from genetics to transcriptomics and clinical data. Using our recently published Anduril bioinformatics framework and novel computational approaches, such as dependency analysis, we identify key variables at miRNA, copy number variation, expression, methylation, and pathway levels in glioblastoma multiforme (GBM) progression and drug resistance. Furthermore, we identify characteristics of clinically relevant subgroups, such as patients treated with temozolomide and patients with an EGFRvIII mutation, which is a constitutively active variant of ***:We identify several novel genomic regions and transcript profiles that may contribute to GBM progression and drug resistance. All results and Anduril scripts are available at http://***/camda/.Conclusions:Our results highlight the need for approaches that define context at several levels in order to identify genomic regions or transcript profiles playing key roles in cancer progression and drug resistance.

关键词： data integration data mining dependency analysis

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