Littérature scientifique sur le sujet « Multimedia Optimization »
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Articles de revues sur le sujet "Multimedia Optimization"
Aggarwal, Charu C., Joel L. Wolf et Philip S. Yu. « Optimization issues in multimedia systems ». International Journal of Intelligent Systems 13, no 12 (décembre 1998) : 1113–35. http://dx.doi.org/10.1002/(sici)1098-111x(199812)13:12<1113 ::aid-int3>3.0.co;2-o.
Texte intégralHrabovskyi, Yevhen, et Volodymyr Fedorchenko. « DEVELOPMENT OF THE OPTIMIZATION MODEL OF THE INTERFACE OF MULTIMEDIA EDITION ». EUREKA : Physics and Engineering 3 (31 mai 2019) : 3–12. http://dx.doi.org/10.21303/2461-4262.2019.00902.
Texte intégralGarofalakis, Minos N., et Yannis E. Ioannidis. « Scheduling issues in multimedia query optimization ». ACM Computing Surveys 27, no 4 (décembre 1995) : 590–92. http://dx.doi.org/10.1145/234782.234797.
Texte intégralHuang, Jianwei, Zhu Li et Qian Zhang. « Collaboration and Optimization for Multimedia Communications ». Advances in Multimedia 2008 (2008) : 1–2. http://dx.doi.org/10.1155/2008/720685.
Texte intégralLu, Jingrong. « Optimization Simulation of Balanced Distribution of Multimedia Network Modular Teaching Resources ». Mobile Information Systems 2022 (14 septembre 2022) : 1–10. http://dx.doi.org/10.1155/2022/5348953.
Texte intégralFeng, Wei Wei. « Multi-objective Optimization Algorithm for Multimedia English Teaching (MOAMET) Based on Computer Network Traffic Prediction Model ». International Journal of Emerging Technologies in Learning (iJET) 13, no 03 (5 mars 2018) : 58. http://dx.doi.org/10.3991/ijet.v13i03.8372.
Texte intégralHeng, Shao. « A New Intelligent Optimization Network Online Learning Behavior in Multimedia Big Data Environment ». International Journal of Mobile Computing and Multimedia Communications 8, no 3 (juillet 2017) : 21–31. http://dx.doi.org/10.4018/ijmcmc.2017070102.
Texte intégralZelenin, A. N., et M. L. Jusupov. « Optimization of usage of the multimedia equipment ». E3S Web of Conferences 282 (2021) : 07012. http://dx.doi.org/10.1051/e3sconf/202128207012.
Texte intégralTaboada, Ianire, Fidel Liberal, Jose Oscar Fajardo et Urtzi Ayesta. « QoE–aware optimization of multimedia flow scheduling ». Computer Communications 36, no 15-16 (septembre 2013) : 1629–38. http://dx.doi.org/10.1016/j.comcom.2013.06.007.
Texte intégralSafadi, Bahjat, Nadia Derbas et Georges Quénot. « Descriptor optimization for multimedia indexing and retrieval ». Multimedia Tools and Applications 74, no 4 (17 mai 2014) : 1267–90. http://dx.doi.org/10.1007/s11042-014-2071-6.
Texte intégralThèses sur le sujet "Multimedia Optimization"
Aksoy, Cumhur Ercument. « Wireless thin client optimization for multimedia applications ». [Florida] : State University System of Florida, 2000. http://etd.fcla.edu/etd/uf/2000/amt2363/Tez3.pdf.
Texte intégralTitle from first page of PDF file. Document formatted into pages; contains xii, 154 p.; also contains graphics. Vita. Includes bibliographical references (p. 152-153).
Elaine, Wen Y. N. « Multimedia communication performance optimization on Pentium III processor ». Thesis, The University of Sydney, 2000. https://hdl.handle.net/2123/28559.
Texte intégralSezer, Osman Gokhan. « Data-driven transform optimization for next generation multimedia applications ». Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42765.
Texte intégralYerima, Suleiman Y. « Quality of service optimization of multimedia traffic in mobile networks ». Thesis, University of South Wales, 2009. https://pure.southwales.ac.uk/en/studentthesis/quality-of-service-optimization-of-multimedia-traffic-in-mobile-networks(975989e3-30f0-450b-9c6f-c2c51362f380).html.
Texte intégralANEDDA, MATTEO. « QOS OPTIMIZATION FOR MULTIMEDIA DELIVERY CONTENT OVER HETEROGENEOUS WIRELESS NETWORKS ». Doctoral thesis, Università degli Studi di Cagliari, 2017. http://hdl.handle.net/11584/249553.
Texte intégralRahman, Tasnim. « Optimization of Cross-Layer Network Data based on Multimedia Application Requirements ». Digital WPI, 2019. https://digitalcommons.wpi.edu/etd-theses/1348.
Texte intégralKim, Ilseo. « Per-exemplar analysis with MFoM fusion learning for multimedia retrieval and recounting ». Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/52152.
Texte intégralXu, Qing. « Flexible Radio Resource Management for Multicast Multimedia Service Provision : Modeling and Optimization ». Thesis, Belfort-Montbéliard, 2014. http://www.theses.fr/2014BELF0237/document.
Texte intégralThe high throughputs supported by the multimedia multicast services (MBMS) and the limited radio resources result in strong requirement for efficient radio resource management (RRM) in UMTS 3G networks. This PhD thesis proposes to solve the MBMS RRM problem as a combinatorial optimization problem. The work starts with a formal modeling of the problem, named as the Flexible Radio Resource Management Model (F2R2M). An in-depth analysis of the problem complexity and the search landscape is done from the model. It is showed that, by relaxing the OVSF code constraints, the MBMS RRM problem can be approximated as a Multiple-Choice Knapsack Problem (MCKP). Such work allows us to compute the theoretical solution bounds by solving the approximated MCKP. Then the fitness landscape analysis shows that the search spaces are rough and reveal several local optimums. Based on the analysis, some metaheuristic algorithms are studied to solve the MBMS RRM problem. We first show that a Greedy Local Search (GLS) and a Simulated Annealing (SA) allow us to find better solutions than the existing approaches implemented in the UMTS system, however the results are instable due to the landscape roughness. Finally we have developed a Tabu Search (TS) mixed with a Variable Neighborhood Search (VNS) algorithm and we have compared it with GLS, SA and UMTS embedded algorithms. Not only the TS outperforms all the other approaches on several scenarios but also, by comparing it with the theoretical solution bounds generated by the MCKP solver, we observe that TS is equal or close to the theoretical optimal solutions
Ribeiro, Leila Zurba. « Traffic Dimensioning for Multimedia Wireless Networks ». Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/27199.
Texte intégralPh. D.
Khernane, Nesrine. « Collaborative multimedia sensors for a connected and smart city ». Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCD027.
Texte intégralDue to their high application potential in various innovative fields (telemonitoring, telemedicine, etc.), Wireless Multimedia Sensor Networks (WMSN) arouse the interest of numerous research projects. In addition to inherent constraints of scalar sensor networks in terms of energy limitation, deployment, coverage, reliability, ..., WMSNs impose new constraints related to the captured data. Indeed, multimedia data are very voluminous in comparison to scalar data and, in addition, have a time constraint (real-time delivery). Moreover, their semantic content, very rich, is subject to different perceptions and interpretations depending on the quality of the acquisition. As a target application, this dissertation focuses detecting available car parking spaces within a large city or a metropolis. Nevertheless, the proposed approaches can be used for a wide variety of WMSN applications for surveillance purposes.In this context, the main objective remains the network lifetime maximization while ensuring an acceptable perceived quality at the destination station. The studied approaches are of a distributed nature for scalability reasons, required in WMSN. Two main axes have been targeted: data processing at source nodes and data routing toward the destination.In the data processing axis, the main problem lies in the quality of the data to be transmitted. In general, the higher the quality is, the larger the data are, and consequently more important is the energy consumption and vice versa. It is therefore a question of finding a balance that preserve the energy resources; i.e. maximize the network lifetime while ensuring an acceptable quality of the sent data. The latter is the result of an encoding process at the source level.Thus, we proposed a fully distributed algorithm that maximizes the network lifetime by optimally balancing the encoding power and the source rate at the source node in order to meet a desired visual quality at the destination station. In opposition to existing approaches, our algorithm, of distributed nature, is ensured to find such a trade-off whatever the initial network configuration is.As a second step, we focuses on data routing. In fact, due to the complexity of this problem, especially in a decentralized context, literature works have not considered jointly data processing and routing. In other words, routing was considered as a network input.In the research work of this thesis, we have subsequently shown that the routing directly impacts the results of the network lifetime maximization process. Indeed, we have analyzed the behavior of several routing protocols in WMSN and the obtained results highlighted this influence. We have therefore proposed an analytic model integrating simultaneously the encoding of data at the source nodes and their routing to the base station. We have developed a semi-distributed resolution of this problem. The results obtained were very encouraging.Thus, in the second part, a fully distributed solution was proposed, in which, the routing axis cannot be achieved without the parameters, that should be determined and updated by the data processing axis. On the other hand, the data processing axis cannot be achieved without the routing tables updated by the routing axis. The proposed solution allows: a) an end-to-end routing with local decisions at each video sensor node and b) the choose of the sufficient number of paths needed to ensure a reliable data transmission.For the rest, we have completed our work by considering more realistic constraints, in particular the dynamic reliability of the links as well as the variation of their capacities (according to the remaining energy of the intermediate nodes). The simulation results showed savings of around 25% of the total energy
Livres sur le sujet "Multimedia Optimization"
Karri, Ramesh, et David Goodman, dir. System-Level Power Optimization for Wireless Multimedia Communication. Boston : Kluwer Academic Publishers, 2002. http://dx.doi.org/10.1007/b117504.
Texte intégralVirtanen, Seppo. Adoption and optimization of embedded and real-time communication systems. Hershey, PA : Information Science Reference, 2013.
Trouver le texte intégralRamesh, Karri, et Goodman David J. 1939-, dir. System-level power optimization for wireless multimedia communication : Power aware computing. Boston : Kluwer Academic, 2002.
Trouver le texte intégralVideo and multimedia transmissions over cellular networks : Analysis, modeling, and optimization in live 3G mobile networks. Chichester, West Sussex, U.K : Wiley, 2009.
Trouver le texte intégralSoong, Kim Che, Melikov Agassi et SpringerLink (Online service), dir. Performance Analysis and Optimization of Multi-Traffic on Communication Networks. Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2010.
Trouver le texte intégralGoodman, David J., et Ramesh Karri. System Level Power Optimization for Wireless Multimedia Communication : Power Aware Computing. Kap/Boston (E), 2002.
Trouver le texte intégralSystem-Level Power Optimization for Wireless Multimedia Communication : Power Aware Computing. Springer, 2002.
Trouver le texte intégralGoodman, David, et Ramesh Karri. System-Level Power Optimization for Wireless Multimedia Communication : Power Aware Computing. Springer, 2013.
Trouver le texte intégralGoodman, David, et Ramesh Karri. System-Level Power Optimization for Wireless Multimedia Communication : Power Aware Computing. Springer, 2013.
Trouver le texte intégralShah, Mubarak, et Omar Oreifej. Robust Subspace Estimation Using Low-Rank Optimization : Theory and Applications. Springer, 2016.
Trouver le texte intégralChapitres de livres sur le sujet "Multimedia Optimization"
Yang, Gang, et Xirong Li. « Classifier Belief Optimization for Visual Categorization ». Dans MultiMedia Modeling, 567–79. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67832-6_46.
Texte intégralChannappayya, Sumohana, et Alan C. Bovik. « Structural Similarity Index Based Optimization ». Dans Encyclopedia of Multimedia, 832–36. Boston, MA : Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78414-4_67.
Texte intégralPiatrik, Tomas, et Ebroul Izquierdo. « Image Classification Using an Ant Colony Optimization Approach ». Dans Semantic Multimedia, 159–68. Berlin, Heidelberg : Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11930334_13.
Texte intégralFang, Chengfang, Chunwang Zhang et Ee-Chien Chang. « An Optimization Model for Aesthetic Two-Dimensional Barcodes ». Dans MultiMedia Modeling, 278–90. Cham : Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04114-8_24.
Texte intégralYao, Peng, Hua Zhang, Yanbing Xue et Shengyong Chen. « AGO : Accelerating Global Optimization for Accurate Stereo Matching ». Dans MultiMedia Modeling, 67–80. Cham : Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73603-7_6.
Texte intégralKofler, Ingo, Christian Timmerer et Hermann Hellwagner. « Optimization-Based Multimedia Adaptation Decision-Taking ». Dans Encyclopedia of Multimedia, 699–704. Boston, MA : Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78414-4_59.
Texte intégralYe, Mang, Jun Chen, Qingming Leng, Chao Liang, Zheng Wang et Kaimin Sun. « Coupled-View Based Ranking Optimization for Person Re-identification ». Dans MultiMedia Modeling, 105–17. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14445-0_10.
Texte intégralChen, Fangdong, et Houqiang Li. « Improved Rate-Distortion Optimization Algorithms for HEVC Lossless Coding ». Dans MultiMedia Modeling, 454–65. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14445-0_39.
Texte intégralSheng, Zhe, Dajiang Zhou, Heming Sun et Satoshi Goto. « Low-Complexity Rate-Distortion Optimization Algorithms for HEVC Intra Prediction ». Dans MultiMedia Modeling, 541–52. Cham : Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04114-8_46.
Texte intégralUrruty, Thierry, Fatima Belkouch, Chabane Djeraba, Edouard Gerard, Jean de Bissy, Olivier Lombard et Patrick Alleaume. « Optimization of Video Content Descriptions for Retrieval ». Dans Encyclopedia of Multimedia, 698. Boston, MA : Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78414-4_171.
Texte intégralActes de conférences sur le sujet "Multimedia Optimization"
Mancas, Catalina, et Mihai Mocanu. « QoS optimization in congested multimedia networks ». Dans 2013 36th International Conference on Telecommunications and Signal Processing (TSP). IEEE, 2013. http://dx.doi.org/10.1109/tsp.2013.6613887.
Texte intégralChang, Seok-Ho, Jihwan P. Choi, Pamela C. Cosman et Laurence B. Milstein. « Scalable multimedia optimization in MIMO systems ». Dans MILCOM 2015 - 2015 IEEE Military Communications Conference. IEEE, 2015. http://dx.doi.org/10.1109/milcom.2015.7357433.
Texte intégralBarreto, Priscila Solis, et Paulo H. P. de Carvalho. « Network Planning Optimization for Multimedia Networks ». Dans 2008 7th IEEE International Symposium on Network Computing and Applications (NCA). IEEE, 2008. http://dx.doi.org/10.1109/nca.2008.30.
Texte intégralHuang, Jianwei. « Session details : Multimedia over wireless symposium : collaborative and optimization for multimedia ». Dans IWCMC07 : International Wireless Communications and Mobile Computing Conference. New York, NY, USA : ACM, 2007. http://dx.doi.org/10.1145/3259077.
Texte intégralRazaque, Abdul, Sai Subramanya Vamsi Chavali, Sundeep Goud Malkapuram, Satya Siva Varma Nadimpalli, Suharsha Vommina, Dinesh Kumar Atukuri et Vamsee Sai Malllapu. « Trans receiving multimedia using Raspberry-Pi ». Dans 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). IEEE, 2016. http://dx.doi.org/10.1109/iceeot.2016.7755019.
Texte intégralRui, Liu, Yan Danfeng, Lin Fan et Yang Fangchun. « Optimization of hierarchical vulnerability assessment method ». Dans Multimedia Technology (IC-BNMT). IEEE, 2009. http://dx.doi.org/10.1109/icbnmt.2009.5348535.
Texte intégralSafadi, Bahjat, et Georges Quenot. « Descriptor optimization for multimedia indexing and retrieval ». Dans 2013 11th International Workshop on Content-Based Multimedia Indexing (CBMI). IEEE, 2013. http://dx.doi.org/10.1109/cbmi.2013.6576554.
Texte intégralCao, Yu, Steven D. Blostein et Wai-Yip Chan. « Optimization of rateless-coded asynchronous multimedia multicast ». Dans 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC 2011). IEEE, 2011. http://dx.doi.org/10.1109/pimrc.2011.6139888.
Texte intégralGao, Sheng, et Qibin Sun. « Classifier Optimization for Multimedia Semantic Concept Detection ». Dans 2006 IEEE International Conference on Multimedia and Expo. IEEE, 2006. http://dx.doi.org/10.1109/icme.2006.262824.
Texte intégralJing, Sun, et Sun Yafei. « Optimization Electrical Engineering Teaching Utilize Multimedia Courseware ». Dans 2008 International Conference on Computer Science and Software Engineering. IEEE, 2008. http://dx.doi.org/10.1109/csse.2008.234.
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