[426] | Darragh Egan, Conor Keighrey, John Barrett, Yuansong Qiao, Sean Brennan, Christian Timmerer, Niall Murray, Subjective Evaluation of an Olfaction Enhanced Immersive Virtual Reality Environment, In Proceedings of the 2nd International Workshop on Multimedia Alternate Realities (Teresa Chambel, Rene Kaiser, Omar Aziz Niamur, Wei Tsang Ooi, eds.), ACM, New York, NY, USA, pp. 15-18, 2017.
[bib][url] [doi] [pdf] [abstract]
Abstract: Recent research efforts have reported findings on user Quality of Experience (QoE) of immersive virtual reality (VR) experiences. Truly immersive multimedia experiences also include multisensory components such as factional, tactile etc., in addition to audiovisual stimuli. In this context, this paper reports the results of a user QoE study of an olfaction-enhanced immersive VR environment. The results presented compare the user QoE between two groups (VR vs VR + Olfaction) and consider how the addition of olfaction affected user QoE levels (considering sense of enjoyment, immersion and discomfort). Self-reported measures via post-test questionnaire (10 questions) only revealed one statistically significant difference between the groups; in terms of how users felt with respect to their senses being stimulated. The presence of olfaction in the VR environment did not have a statistically significant effect in terms of user levels of enjoyment, immersion and discomfort.
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[425] | Kirill Borodulin, Gleb Radchenko, Aleksandr Shestakov, Leonid Sokolinsky, Andrey Tchernykh, Radu Prodan, Towards Digital Twins Cloud Platform: Microservices and Computational Workflows to Rule a Smart Factory, In 2017 IEEE/ACM $10^\mathitth$ International Conference on Utility and Cloud Computing, ACM, pp. 209-210, 2017.
[bib] |
[424] | Christian Beecks, Sabrina Kletz, Klaus Schoeffmann, Large-Scale Endoscopic Image and Video Linking with Gradient-Based Signatures, In Proceedings of the Third IEEE International Conference on Multimedia Big Data (BigMM 2017) (Shu-Ching Chen, Philip Chen-Yu Sheu, eds.), IEEE, Laguna Hills, California, USA, pp. 5, 2017.
[bib][url] [doi] [abstract]
Abstract: Given a large-scale video archive of surgical interventions and a medical image showing a specific moment of an operation, how to find the most image-related videos efficiently without the utilization of additional semantic characteristics? In this paper, we investigate a novel content-based approach of linking medical images with relevant video segments arising from endoscopic procedures. We propose to approximate the video segments' content-based features by gradient-based signatures and to index these signatures with the Minkowski distance in order to determine the most query-like video segments efficiently. We benchmark our approach on a large endoscopic image and video archive and show that our approach achieves a significant improvement in efficiency in comparison to the state-of-the-art while maintaining high accuracy.
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[423] | Konstantin Pogorelov, Kristin Ranheim Randel, Thomas de Lange, Sigrun L. Eskeland, Carsten Griwodz, Concetto Spampinato, Mario Taschwer, Mathias Lux, Peter T. Schmidt, Michael Riegler, Pal Halvorsen, Nerthus: A Bowel Preparation Quality Video Dataset, In Proceedings of the 8th ACM on Multimedia Systems Conference (MMSys 2017) (Kuan-Ta Chen, Pablo Cesar, Cheng-Hsin Hsu, eds.), Association for Computing Machinery (ACM), pp. 170-174, 2017.
[bib][url] [doi] [abstract]
Abstract: Bowel preparation (cleansing) is considered to be a key precondition for successful colonoscopy (endoscopic examination of the bowel). The degree of bowel cleansing directly affects the possibility to detect diseases and may influence decisions on screening and follow-up examination intervals. An accurate assessment of bowel preparation quality is therefore important. Despite the use of reliable and validated bowel preparation scales, the grading may vary from one doctor to another. An objective and automated assessment of bowel cleansing would contribute to reduce such inequalities and optimize use of medical resources. This would also be a valuable feature for automatic endoscopy reporting in the future. In this paper, we present Nerthus, a dataset containing videos from inside the gastrointestinal (GI) tract, showing different degrees of bowel cleansing. By providing this dataset, we invite multimedia researchers to contribute in the medical field by making systems automatically evaluate the quality of bowel cleansing for colonoscopy. Such innovations would probably contribute to improve the medical field of GI endoscopy.
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[422] | Christian Timmerer, Daniel Weinberger, Martin Smole, Reinhard Grandl, Christopher Mueller, Stefan Lederer, Live Transcoding and Streaming-as-a-Service with Low Delay and High QoE, In 2016 NAB Broadcast Engineering Conference Proceedings & CD (not available, ed.), National Association of Broadcasters (NAB), Washington DC, USA, pp. 4, 2016.
[bib] [pdf] |
[421] | Marco A Hudelist, Claudiu Cobârzan, Christian Beecks, Rob van de Werken, Sabrina Kletz, Wolfgang Hürst, Klaus Schoeffmann, Collaborative Video Search Combining Video Retrieval with Human-Based Visual Inspection, In International Conference on Multimedia Modeling (Qi Tian, Nicu Sebe, Guo-Jun Qi, Benoit Huet, Richang Hong, Xueliang Liu, eds.), Springer International Publishing, Cham, Switzerland, pp. 400-405, 2016.
[bib] |
[420] | Christian Timmerer, Daniel Weinberger, Martin Smole, Reinhard Grandl, Christopher Mueller, Stefan Lederer, Transcoding and Streaming-as-a-Service for improved Video Quality on the Web, In Proceedings of the 7th International Conference on Multimedia Systems (Christian Timmerer, Ali Begen, eds.), ACM, New York, pp. 37:1-37:3, 2016.
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[419] | Mario Taschwer, Oge Marques, Compound Figure Separation Combining Edge and Band Separator Detection, In MultiMedia Modeling (Qi Tian, Nicu Sebe, Guo-Jun Qi, Benoit Huet, Richang Hong, Xueliang Liu, eds.), Springer International Publishing, vol. 9516, Cham, Switzerland, pp. 162-173, 2016.
[bib][url] [doi] [pdf] [slides] [abstract]
Abstract: We propose an image processing algorithm to automatically separate compound figures appearing in scientific articles. We classify compound images into two classes and apply different algorithms for detecting vertical and horizontal separators to each class: the edge-based algorithm aims at detecting visible edges between subfigures, whereas the band-based algorithm tries to detect whitespace separating subfigures (separator bands). The proposed algorithm has been evaluated on two datasets for compound figure separation (CFS) in the biomedical domain and compares well to semi-automatic or more comprehensive state-of-the-art approaches. Additional experiments investigate CFS effectiveness and classification accuracy of various classifier implementations.
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[418] | Andreas Leibetseder, Mathias Lux, Gamifying Fitness or Fitnessifying Games: a Comparative Study, In Proceedings of the Third International Workshop on Gamification for Information Retrieval - co-located with 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016) (F Hopfgartner, G Kazai, U Kruschwitz, M Meder, eds.), CEUR Workshop Proceedings, vol. 1642, Pisa, Italy, pp. 37-44, 2016.
[bib][url] [pdf] [abstract]
Abstract: Fitness- or exergames are ubiquitously available, but often lack the main ingredient of successfully gamified systems: fun. This can be attributed to the typical way of designing such games -- highly focusing on specific physical activities, thus, gamifying fitness. Instead, we propose a novel alternate approach to improve motivation for exergaming, which we call fitnessification: integrating physical exercise into very popular games that have been developed keeping fun in mind and frequently are played for long periods of time -- so-called AAA games. In order to evaluate this concept, we have conducted a comparative study examining voluntary participants' reactions to testing an ergometer controlled casual game as well as a modified AAA game. Results indicate strong tendencies of players preferring the newly introduced AAA approach over the casual fitness game.
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[417] | Klaus Schoeffmann, Christian Beecks, Mathias Lux, Merih Seran Uysal, Thomas Seidl, Content-based Retrieval in Videos from Laparoscopic Surgery, In Proceedings of SPIE 9786, Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling (Robert Webster, Ziv Yaniv, eds.), SPIE, Bellingham, WA, USA, pp. 97861V-97861V10, 2016.
[bib] |
[416] | Manfred Jürgen Primus, Bernd Münzer, Stefan Petscharnig, Klaus Schoeffmann, ITEC-UNIKLU Ad-Hoc Video Search Submission 2016, In Proceedings of TRECVID 2016 (George Awad, Jonathan Fiscus, Martial Michel, David Joy, Wessel Kraaij, Alan F Smeaton, Georges Quénot, Maria Eskevich, Robin Aly, Gareth J F Jones, Roeland Ordelman, Benoit Huet, Martha Larson, eds.), NIST, USA, NIST, Gaithersburg, MD, USA, pp. 10, 2016.
[bib] [abstract]
Abstract: In this report we describe our approach to the fully automatic Ad-hoc video search task for TRECVID 2016. We describe how we obtain training data from the web, create according CNN models for the provided queries and use them to classify keyframes from a custom sub-shot detection method. The resulting classifications are fed into a Lucene index in order to obtain the shots that match the query. We also discuss our results and point out potentials for further improvements.
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[415] | Manfred Jürgen Primus, Klaus Schoeffmann, Laszlo Böszörmenyi, Temporal Segmentation of Laparoscopic Videos into Surgical Phases, In Proceedings of the 14th International Workshop on Content-Based Multimedia Indexing (CBMI 2016) (Bogdan Ionescu, Henning Müller, Yiannis Kompatsiaris, Guillaume Gravier, eds.), IEEE, Los Alamitos, CA, USA, pp. 1-6, 2016.
[bib] |
[414] | Daniel Posch, Benjamin Rainer, Sebastian Theuermann, Andreas Leibetseder, Hermann Hellwagner, Emulating NDN-based Multimedia Delivery, In Proceedings of the 7th International Conference on Multimedia Systems (Christian Timmerer, Ali Begen, eds.), ACM Digital Library, New York, pp. 4, 2016.
[bib][url] [doi] [pdf] [abstract]
Abstract: Today, the global share and increase of Internet traffic is largely caused by multimedia delivery, mainly encompassing video, audio and image sharing on social, news, and entertainment platforms. This fact is well known to the Internet research community, which tries to counteract by increasing the content delivery efficiency. So-called Information-Centric Networks (ICN) are of considerable interest, advertised as enablers for intelligent networks, where effective delivery is to be provided as an inherent network feature. Most research proposals in this area are evaluated in simulated environments, using simulation frameworks such as OMNeT++ or ns-3. However, simulations always have shortcomings and cannot substitute measurements in physical networks. In this demonstration, we show how to readily set up an ICN-based testbed using low-budget single-board computers to conduct comprehensive emulations. We choose the scenario of pull-based adaptive video delivery as a showcase and evaluate the performance of different client-based adaptation mechanisms at the application level and different content forwarding strategies at the network level. All of the presented tools and visualization features are provided as open source contributions to the community.
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[413] | Bernd Münzer, Klaus Schoeffmann, Laszlo Böszörmenyi, Domain-Specific Video Compression for Long-term Archiving of Endoscopic Surgery Videos, In 29th International Symposium on Computer-Based Medical Systems (CBMS'16) (B Kane, A Marshall, P Soda, eds.), IEEE, Dublin, Ireland, pp. 312-317, 2016.
[bib] [doi] |
[412] | Harald Beck, Bruno Bierbaumer, Minh Dao-Tran, Thomas Eiter, Hermann Hellwagner, Konstantin Shekotihin, Rule-based Stream Reasoning for Intelligent Administration of Content-Centric Networks, In Proceedings of 15th European Conference on Logics in Artificial Intelligence (JELIA) 2016 (Loizos Michael, Antonis C Kakas, eds.), Springer, Cyprus, pp. 522-528, 2016.
[bib] [doi] [abstract]
Abstract: Content-Centric Networking (CCN) research addresses the mismatch between the modern usage of the Internet and its outdated architecture. Importantly, CCN routers use various caching strategies to locally cache content frequently requested by end users. However, it is unclear which content shall be stored and when it should be replaced. In this work, we employ novel techniques towards intelligent administration of CCN routers. Our approach allows for autonomous switching between existing strategies in response to changing content request patterns using rule-based stream reasoning framework LARS which extends Answer Set Programming for streams. The obtained possibility for flexible router configuration at runtime allows for faster experimentation and may result in significant performance gains, as shown in our evaluation.
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[411] | Christian Kreuzberger, Benjamin Rainer, Hermann Hellwagner, Laura Toni, Pascal Frossard, A Comparative Study of DASH Representation Sets Using Real User Characteristics, In Proceedings of the 26th International Workshop on Network and Operating Systems Support for Digital Audio and Video (ACM, ed.), ACM, New York, NY, USA, pp. 4:1-4:6, 2016.
[bib] |
[410] | Wolfgang Hürst, Algernon Ip Vai Ching, Marco Hudelist, Manfred Primus, Klaus Schoeffmann, Christian Beecks, A New Tool for Collaborative Video Search via Content-based Retrieval and Visual Inspection, In Proceedings of the 2016 ACM on Multimedia Conference (Alan Hanjalic, Cees Snoek, Marcel Worring, eds.), ACM, New York, NY, USA, pp. 731-732, 2016.
[bib][url] [doi] |
[409] | Marco Andrea Hudelist, Claudiu Cobârzan, Christian Beecks, Rob van de Werken, Sabrina Kletz, Wolfgang Hürst, Klaus Schoeffmann, Collaborative Video Search Combining Video Retrieval with Human-Based Visual Inspection, In Multimedia Modeling (Qi Tian, Nicu Sebe, Guo-Jun Qi, Benoit Huet, Richang Hong, Xueliang Liu, eds.), Springer International Publishing, Cham, Switzerland, pp. 400-405, 2016. (Accept This paper describes a video browsing approach that combines machine-based retrieval methods with an interface design optimized for browsing. The proposed approach is inspired and combines the best of 2 well known and well tested approaches from last year’s edition of the Video Search Showcase. Overall, this manuscript is well-written and enjoyable to read. I strongly recommend it. Personally, I would appreciate if the authors could give some details on the following: 1.Please provide some more details regarding spatial information, CIELAB color information, coarseness, and contrast information 2.Please provide some more details regarding Signature Matching Distance Accept This work proposed a novel video browsing approach that aims at optimally integrating traditional, machine-based retrieval methods with an interface design optimized for human browsing performance. Overall, it is interesting to see the incorporation of the CBVR into an interface design and the presented interface along with the system diagram (Fig. 3) give reasonable support for this work to live demo at the VBS venue. However, a concern is its totally lack of objective or subject evaluations. The authors are recommended to include some experiments in the camera ready version.)
[bib][url] [abstract]
Abstract: We propose a novel video browsing approach that aims at optimally integrating traditional, machine-based retrieval methods with an interface design optimized for human browsing performance. Advanced video retrieval and filtering (e.g., via color and motion signatures, and visual concepts) on a desktop is combined with a storyboard-based interface design on a tablet optimized for quick, brute-force visual inspection. Both modules run independently but exchange information to significantly minimize the data for visual inspection and compensate mistakes made by the search algorithms.
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[408] | Marco Hudelist, Sabrina Kletz, Klaus Schoeffmann, A Tablet Annotation Tool for Endoscopic Videos, In Proceedings of the 2016 ACM on Multimedia Conference (Alan Hanjalic, Cees Snoek, Marcel Worring, eds.), ACM, New York, NY, USA, pp. 725-727, 2016.
[bib][url] [doi] |
[407] | Marco Hudelist, Sabrina Kletz, Klaus Schoeffmann, A Multi-Video Browser for Endoscopic Videos on Tablets, In Proceedings of the 2016 ACM on Multimedia Conference (Alan Hanjalic, Cees Snoek, Marcel Worring, eds.), ACM, New York, NY, USA, pp. 722-724, 2016.
[bib][url] [doi] |
[406] | Evsen Yanmaz, Markus Quaritsch, Saeed Yahyanejad, Bernhard Rinner, Hermann Hellwagner, Christian Bettstetter, Communication and Coordination for Drone Networks, In Proceedings of the EAI International Conference on Ad Hoc Networks (ADHOCNETS) (Zhou Yifeng, Kunz Thomas, eds.), Springer Verlag, Ottawa, Canada, pp. 79-91, 2016.
[bib][url] [doi] [pdf] [abstract]
Abstract: Small drones are being utilized in monitoring, delivery of goods, public safety, and disaster management among other civil applications. Due to their sizes, capabilities, payload limitations, and limited flight time, it is not far-fetched to expect multiple networked and coordinated drones incorporated into the air traffic. In this paper, we describe a high-level architecture for the design of a collaborative aerial system that consists of drones with on-board sensors and embedded processing, sensing, coordination, and communication&networking capabilities. We present a multi-drone system consisting of quadrotors and demonstrate its potential in a disaster assistance scenario. Furthermore, we illustrate the challenges in the design of drone networks and present potential solutions based on the lessons we have learned so far.
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[405] | Darragh Egan, Sean Brennan, John Barret, Yuansong Qiao, Christian Timmerer, Niall Murray, An evaluation of Heart Rate and ElectroDermal Activity as an objective QoE evaluation method for immersive virtual reality environments, In 2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX) (Fernando Pereira, Klaus Diepold, Paula Queluz, Ulrich Reiter, eds.), IEEE Signal Processing Society, Lisboa, Portugal, pp. 1-6, 2016.
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[404] | Jürgen Scherer, Saeed Yahyanejad, Samira Hayat, Evsen Yanmaz, Torsten Andre, Asif Khan, Vladimir Vukadinovic, Christian Bettstetter, Hermann Hellwagner, Bernhard Rinner, An Autonomous Multi-UAV System for Search and Rescue, In Proceedings of the First Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use (Kuan-Ta Chen, Mario Gerla, Karin Anna Hummel, Claudio Palazzi, Sofie Pollin, James JP Sterbenz, eds.), ACM, New York, USA, pp. 33-38, 2015.
[bib][url] [doi] [abstract]
Abstract: This paper proposes and evaluates a modular architecture of an autonomous unmanned aerial vehicle (UAV) system for search and rescue missions. Multiple multicopters are coordinated using a distributed control system. The system is implemented in the Robot Operating System (ROS) and is capable of providing a real-time video stream from a UAV to one or more base stations using a wireless communications infrastructure. The system supports a heterogeneous set of UAVs and camera sensors. If necessary, an operator can interfere and reduce the autonomy. The system has been tested in an outdoor mission serving as a proof of concept. Some insights from these tests are described in the paper.
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[403] | Maia Zaharieva, Matthias Zeppelzauer, Manfred Del Fabro, Daniel Schopfhauser, Social Event Mining in Large Photo Collections, In Proceedings of the 5th ACM International Conference on Multimedia Retrieval (Xirong Li, Xiangdong Zhou, eds.), ACM, Shanghai, China, pp. 1-8, 2015.
[bib] |
[402] | He Xu, Fernando Pereira, Christian Timmerer, Touradj Ebrahimi, Towards Quality of Sensory Experience in Multimedia, In Proceedings of 2015 European Conference on Networks and Communications (EUCNC) (Nicolas Demassieux, Mario Campolargo, eds.), IEEE, Brussels, Belgium, pp. 627-628, 2015.
[bib] [pdf] |