[652] | Cedric Westphal, Tommaso Melodia, Wenww Zhu, Christian Timmerer, Guest Editorial Video Distribution Over Future Internet, In IEEE Journal on Selected Areas in Communications, IEEE Communications Society, vol. 34, no. 8, New York, pp. 2061-2062, 2016.
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[651] | Cedric Westphal, Stefan Lederer, Daniel Posch, Christian Timmerer, Aytac Azgin, Will Shucheng Liu, Christopher Müller, Andrea Detti, Daniel Corujo, Jianping Wang, Marie-Jose Montpetit, Niall Murray, Adaptive Video Streaming over Information-Centric Networking (ICN) -- RFC 7933, Technical report, Internet Engineering Task Force, 5177 Brandin Court Fremont, California 94538 USA, pp. 40, 2016.
[bib][url] |
[650] | Christian Timmerer, Matteo Maiero, Benjamin Rainer, Which Adaptation Logic? An Objective and Subjective Performance Evaluation of HTTP-based Adaptive Media Streaming Systems, In arXiv.org [cs.MM], N.N., vol. abs/1606.00341, N.N., pp. 11, 2016.
[bib][url] [pdf] |
[649] | Christian Timmerer, Alan Bertoni, Advanced Transport Options for the Dynamic Adaptive Streaming over HTTP, In arXiv.org [cs.MM], N.N., vol. abs/1606.00264, N.N., pp. 6, 2016.
[bib][url] [pdf] |
[648] | 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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[647] | Mario Taschwer, Oge Marques, Automatic Separation of Compound Figures in Scientific Articles, In Multimedia Tools and Applications, Springer, New York, pp. 1-30, 2016.
[bib] [doi] [pdf] [abstract]
Abstract: Content-based analysis and retrieval of digital images found in scientific articles is often hindered by images consisting of multiple subfigures (compound figures). We address this problem by proposing a method (ComFig) to automatically classify and separate compound figures, which consists of two main steps: (i) a supervised compound figure classifier (ComFig classifier) discriminates between compound and non-compound figures using task-specific image features; and (ii) an image processing algorithm is applied to predicted compound images to perform compound figure separation (ComFig separation). The proposed ComFig classifier is shown to achieve state-of-the-art classification performance on a published dataset. Our ComFig separation algorithm shows superior separation accuracy on two different datasets compared to other known automatic approaches. Finally, we propose a method to evaluate the effectiveness of the ComFig chain combining classifier and separation algorithm, and use it to optimize the misclassification loss of the ComFig classifier for maximal effectiveness in the chain.
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[646] | 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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[645] | 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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[644] | 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.
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[643] | Klaus Schoeffmann, Lukas Burgstaller, A Convenient Interface for Video Navigation on Smartphones, In International Journal of Multimedia Data Engineering and Management, IGI Pub, vol. 7, no. 3, Hershey, PA, USA, pp. 1-16, 2016.
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[642] | Benjamin Rainer, Daniel Posch, Andreas Leibetseder, Sebastian Theuermann, Hermann Hellwagner, A Low-Cost NDN Testbed on Banana Pi Routers, In Communications Magazine, IEEE, IEEE, vol. 54, no. 9, New York, USA, pp. 6, 2016. (IEEE COMMAG Network Testing and Analytics Series)
[bib] [pdf] [abstract]
Abstract: The computer communication research community shows significant interest in the paradigm of Information-Centric Networking (ICN). Continuously, new proposals for ICN-related challenges (caching, forwarding, etc.) are published. However, due to a lack of a readily available testbed, the majority of these proposals is evaluated either by theoretical analysis and/or by conducting network simulations potentially masking further challenges that are not observable in synthetic environments. Therefore, this article presents a framework for an ICN testbed using low-budget physical hardware with little deployment and maintenance effort for the individual researcher; specifically, Named Data Networking is considered. The employed hardware and software are powerful enough for most research projects, but extremely resource intensive tasks may push both components towards their limits. The testbed framework is based on well established open source software and provides the tools to readily investigate important ICN characteristics on physical hardware emulating arbitrary network topologies. The article discusses the testbed architecture and provides first results obtained from emulations that investigate the performance of various forwarding strategies. The results indicate that further challenges have to be overcome when heading towards a real-world deployment of ICN-based communication.
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[641] | Benjamin Rainer, Daniel Posch, Hermann Hellwagner, Investigating the Performance of Pull-based Dynamic Adaptive Streaming in NDN, In Journal on Selected Areas in Communications, IEEE, vol. 34, no. 8, New York, USA, pp. 11, 2016. (IEEE JSAC Special Issue on Video Distribution over Future Internet)
[bib] [doi] [pdf] [abstract]
Abstract: Adaptive content delivery is the state-of-the-art in real-time multimedia streaming. Leading streaming approaches, e.g., MPEG-DASH and Apple HLS, have been developed for classical IP-based networks, providing effective streaming by means of pure client-based control and adaptation. However, the research activities of the Future Internet community adopt a new course that is different from today's host-based communication model. So-called Information-Centric Networks are of considerable interest and are advertised as enablers for intelligent networks, where effective content delivery is to be provided as an inherent network feature. This paper investigates the performance gap between pure client-driven adaptation and the theoretical optimum in the promising Future Internet architecture Named Data Networking (NDN). The theoretical optimum is derived by modeling multimedia streaming in NDN as a fractional Multi-Commodity Flow Problem and by extending it taking caching into account. We investigate the multimedia streaming performance under different forwarding strategies, exposing the interplay of forwarding strategies and adaptation mechanisms. Furthermore, we examine the influence of network inherent caching on the streaming performance by varying the caching polices and the cache sizes.
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[640] | 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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[639] | 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] |
[638] | Daniel Posch, Towards Effective Multimedia Dissemination in Information-Centric Networks, PhD thesis, Alpen-Adria Universität Klagenfurt, pp. 210, 2016.
[bib] [doi] [pdf] [abstract]
Abstract: Real-time entertainment (mainly audio/video streaming) is responsible for the largest traffic share in today's networks. Social and entertainment platforms such as YouTube, Netflix and Facebook provide a tremendous amount of multimedia content to their global customers via the Internet. With the ever growing popularity of these services, the Internet is struggling to suffice the continuously increasing requirements demanded by applications. In particular, the demands go far beyond the intent of the Internet's original design. Architectural and legacy design choices lead to issues, the solutions to which are neither efficient nor elegant. One approach to tackle these challenges is Information-Centric Networking (ICN), a new concept for today's Internet. The idea is to base the network's principal communication model on the most important item, namely the content to be transferred. This novel concept provides significant opportunities to enhance networking. In this thesis we investigate how ICN can be used as an enabler for effective multimedia dissemination. As a first step we analyse the technology's characteristic capabilities and their potential benefits for content distribution in future networks. We develop an analytical model taking account of the main building blocks (network-inherent caching, multi-path forwarding) and compare the obtained upper bound to the current state of ICN considering the scenario of pull-based adaptive multimedia streaming. The results show that there exists a significant gap between the promised and the realized performance, largely caused by ineffective Interest forwarding strategies. Therefore, we design and implement a novel probability-based forwarding strategy named Stochastic Adaptive Forwarding (SAF), which provides effective multi-path forwarding, identifies unknown cached content replicas and deals with local topology changes without guidance from the routing plane. The results indicate that SAF brings ICN one step closer towards effective content distribution. In particular, we show that it is important to consider context information in the forwarding plane. This includes content characteristics and application demands. SAF is the first strategy that takes account of context information that can be supplied by the network operators. Furthermore, this work provides a framework for a testbed that can be used by researchers to readily deploy an ICN-based testbed. This allows researchers to conduct experiments on physical hardware providing deeper insights on proposed algorithms than network simulations or analytical methods could ever do. We use the testbed to validate our results concerning multimedia delivery in ICN, and conduct network emulations investigating the performance of SAF and its competitors. Furthermore, we compare the results of network emulations to the findings obtained from simulations to assess their validity. Both simulations and emulations show that our SAF approach provides a significant step towards effective multimedia content distribution in ICN.
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[637] | 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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[636] | Björn Por Jonsson, Cathal Gurrin, Klaus Schoeffmann, Report from the MMM Special Session Perspectives on Multimedia Analytics, In ACM SIGMultimedia Records, ACM, vol. 2016, no. 2, New York, NY, USA, pp. 1-2, 2016.
[bib] [abstract]
Abstract: This report summarizes the presentations and discussions of the special session entitled “Perspectives on Multimedia Analytics” at MMM 2016, which was held in Miami, Florida on January 6, 2016. The special session consisted of four brief paper presentations, followed by a panel discussion with questions from the audience. The session was organized by Björn Þór Jónsson and Cathal Gurrin, and chaired and moderated by Klaus Schoeffmann. The goal of this report is to record the conclusions of the special session, in the hope that it may serve members of our community who are interested in Multimedia Analytics.
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[635] | 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] |
[634] | Christopher Mueller, Stefan Lederer, Christian Timmerer, System and method for session mobility for adaptive bitrate streaming, Patent, 2016, US20160173551 A1.
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[633] | Christopher Mueller, Stefan Lederer, Christian Timmerer, Apparatus and Method for Cloud Assisted Adaptive Streaming, Patent, 2016, US 20160134677.
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[632] | 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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[631] | Stefan Lederer, Christopher Mueller, Christian Timmerer, Apparatus and method for constant quality optimization for adaptive streaming, Patent, 2016, US 20160234282 A1.
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[630] | 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.
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[629] | 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] |
[628] | 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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