Готові списки джерел за темами / Multimedia Optimization

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Автор: Grafiati
Опубліковано: 14 березня 2023

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Статті в журналах з теми "Multimedia Optimization"

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Aggarwal, Charu C., Joel L. Wolf, and Philip S. Yu. "Optimization issues in multimedia systems." International Journal of Intelligent Systems 13, no. 12 (December 1998): 1113–35. http://dx.doi.org/10.1002/(sici)1098-111x(199812)13:12<1113::aid-int3>3.0.co;2-o.

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2

Hrabovskyi, Yevhen, and Volodymyr Fedorchenko. "DEVELOPMENT OF THE OPTIMIZATION MODEL OF THE INTERFACE OF MULTIMEDIA EDITION." EUREKA: Physics and Engineering 3 (May 31, 2019): 3–12. http://dx.doi.org/10.21303/2461-4262.2019.00902.

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Анотація:
The aim of the research work is development of a model for optimizing the interface of a multimedia publication. In this research, five levels of interaction are identified for the interface of a multimedia publication – flat surfaces, layouts, structures, feature sets, strategies. The relationship between the levels of user interaction and interface properties of a multimedia publication is analyzed. It is proposed to select interface components based on the properties of the multimedia editions they provide. In order to construct models of optimization of elements of the interface of a multimedia publication, estimates of the interconnection of elements of the interface with functional capabilities by the total matrix are used. To combine the standard models into a single interface optimization model, an analysis of the relationship between the elements of the interface of the multimedia publication and the characteristics of the multimedia publication has been conducted. According to the results of the analysis, an economical tree is constructed, which allows to build a hierarchy of the stages of optimization of the interface of the multimedia publication and to determine the input data for the implementation of the task. The definition of the input data allows to show the principle of the interface optimization model in the form of a "black" box. An algorithm for optimizing the interface element of a multimedia publication is proposed. As a result of the practical implementation of the optimization model for the multimedia edition interface, a software product, created on the basis of HTML markup using cascading CSS style stylesheets and JavaScript language, was obtained. Adobe Device Central CS5 tested the created software on devices with different characteristics.
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3

Garofalakis, Minos N., and Yannis E. Ioannidis. "Scheduling issues in multimedia query optimization." ACM Computing Surveys 27, no. 4 (December 1995): 590–92. http://dx.doi.org/10.1145/234782.234797.

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4

Huang, Jianwei, Zhu Li, and Qian Zhang. "Collaboration and Optimization for Multimedia Communications." Advances in Multimedia 2008 (2008): 1–2. http://dx.doi.org/10.1155/2008/720685.

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5

Lu, Jingrong. "Optimization Simulation of Balanced Distribution of Multimedia Network Modular Teaching Resources." Mobile Information Systems 2022 (September 14, 2022): 1–10. http://dx.doi.org/10.1155/2022/5348953.

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Анотація:
The balanced distribution of multimedia wireless network modular teaching resources is improved by optimizing and adjusting the balanced distribution of multimedia wireless network modular teaching resources. Based on block grid balanced scheduling and resource spectrum fusion, a balanced distribution method of multimedia wireless network modular teaching resources is proposed. A blockchain Internet of Things accesses control network architecture system for the balanced allocation of multimedia wireless network modular teaching resources established using the priority business scheduling method. Modular resource allocation of multimedia wireless networks and adaptive forwarding are adjusted to control the data packets. The bandwidth guarantee mechanism is used for the equitable allocation of multimedia wireless network modular teaching resources information flow. Multi-service hierarchical management of multimedia wireless network modular teaching resources spectrum is controlled by block grid balanced scheduling and resource spectrum fusion. The high-energy physical computing system structure is used to allocate the resource spectrum balance of the modular teaching resources of the multimedia wireless networks, ensuring the bandwidth requirements of various services. The classified management and balanced allocation of the multimedia wireless networks’ teaching storage, system, and teaching spectrum resources are made possible. The results of the tests show that this method effectively reduces the delay in the allocation of modular multimedia wireless network teaching resources, improves the utilization rate of modular multimedia wireless network teaching resources, and significantly improves their reading and writing performance.
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6

Feng, 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 (March 5, 2018): 58. http://dx.doi.org/10.3991/ijet.v13i03.8372.

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Анотація:
In order to solve the problem of multi-objective optimization for multimedia English teaching, this paper proposes a multi-objective optimization algorithm for multimedia English teaching (MOAMET) based on computer network traffic prediction model, which is based on the computer network traffic prediction model strategy. This algorithm establishes time series for individuals correlated to same reference points, and for such time series through computer network traffic model optimizes multimedia English teaching objectives. Meanwhile, it feeds back the prediction error of the historical moment to the current prediction to improve the accuracy of the optimization, and adds disturbance in each optimized individual to increase the diversity of initial multimedia English teaching so as to speed up the convergence speed of the algorithm in the new environment. Through experiments it teats the algorithm, also makes comparison and analysis with two existing algorithms, the results show that the proposed algorithm can maintain good performance in dealing with multi-objective optimization for multimedia English teaching.
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7

Heng, 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 (July 2017): 21–31. http://dx.doi.org/10.4018/ijmcmc.2017070102.

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Анотація:
In the era of multimedia big data, the online learning behavior of users becomes rich and colorful. This paper proposes a hybrid clonal selection differential evolution optimization algorithm based on clonal selection algorithm and differential evolution in multimedia big data environment. The proposed intelligent optimization algorithm treats each e-learning behavior of the user as an antibody, and gets the best results of multimedia big data mining by a number of iterative searches. Experimental results show the feasibility and effectiveness of the proposed intelligent optimization algorithm.
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8

Zelenin, A. N., and 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.

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Анотація:
The occupations spent by means of the big screen, become more and more widespread way of training. On faculty of maintenance of transport and technological computers of faculty of transport-technological computers and tools of the Ural state agrarian university since 1996 the multimedia complex takes root into training. From the last developments it is possible to note: *creation of a computer class of simulators-simulators of agricultural processes; *development and implantation of interactive posters; *development and implantation 3D computer models. By preparation of bachelors in a direction «Agroengeniring» under the profile: «Technical systems in agrobusiness» at teaching discipline "Agricultural computers" for students 3 courses are applied the multimedia.
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Taboada, Ianire, Fidel Liberal, Jose Oscar Fajardo, and Urtzi Ayesta. "QoE–aware optimization of multimedia flow scheduling." Computer Communications 36, no. 15-16 (September 2013): 1629–38. http://dx.doi.org/10.1016/j.comcom.2013.06.007.

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10

Safadi, Bahjat, Nadia Derbas, and Georges Quénot. "Descriptor optimization for multimedia indexing and retrieval." Multimedia Tools and Applications 74, no. 4 (May 17, 2014): 1267–90. http://dx.doi.org/10.1007/s11042-014-2071-6.

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Більше джерел

Дисертації з теми "Multimedia Optimization"

1

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.

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Анотація:
Thesis (M.S.)--University of Florida, 2000.
Title from first page of PDF file. Document formatted into pages; contains xii, 154 p.; also contains graphics. Vita. Includes bibliographical references (p. 152-153).
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2

Elaine, Wen Y. N. "Multimedia communication performance optimization on Pentium III processor." Thesis, The University of Sydney, 2000. https://hdl.handle.net/2123/28559.

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Анотація:
At present, there are many hardware and software implementations that provide reasonable quality real-time multimedia communication such as video telephony and conferencing. Since sofiware-based video telephony can provide lower cost and more flexible implementations than hardware-based systems, many systems are implemented in software. Due to the computationally intensive algorithms in video telephony, there are some real-time computation bottlenecks that lead to difficulties in improving performance to achieve better quality. With the emerging of a new group of multimedia-related processor instructions, a significant improvement to the real-time implementation of multimedia communication systems can be made. One such a group of instructions is the Streaming SIMD Extensions of the Pentium® III processor. This thesis describes multimedia coding related optimizations using the Pentium® III Streaming SIMD Extensions in a video telephony system based on the ITU—T (International Telecommunication Union — Telecommunication Standardization Sector) H.324 and H.323 standards. It focuses on the implementation of three computationally intensive algorithms, the Sum of Absolute Difference (SAD) used in Video motion estimation, the Discrete Cosine Transform (DCT) used in hybrid Video codecs (e.g. H.261 and H.263), and the Dot Product (DP) in many audio codecs (e.g. G.723.1). Depending on whether algorithms use SSIMDEs instructions, integer or floating point, the performance improvement is not certain. The experimental results presented in this thesis show that SAD and DP achieve improvements as expected, whereas DCT does not benefit from using SSIMDEs. The thesis discusses performance improvements and analyses the results.
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3

Sezer, Osman Gokhan. "Data-driven transform optimization for next generation multimedia applications." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42765.

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Анотація:
The objective of this thesis is to formulate a generic dictionary learning method with the guiding principle that states: Efficient representations lead to efficient estimations. The fundamental idea behind using transforms or dictionaries for signal representation is to exploit the regularity within data samples such that the redundancy of the representation is minimized subject to a level of fidelity. This observation translates to rate-distortion cost in compression literature, where a transform that has the lowest rate-distortion cost provides a more efficient representation than the others. In our work, rather than using as an analysis tool, the rate-distortion cost is utilized to improve the efficiency of transforms. For this, an iterative optimization method is proposed, which seeks an orthonormal transform that reduces the expected value of rate-distortion cost of an ensemble of data. Due to the generic nature of the new optimization method, one can design a set of orthonormal transforms either in the original signal domain or on the top of a transform-domain representation. To test this claim, several image codecs are designed, which use block-, lapped- and wavelet-transform structures. Significant increases in compression performances are observed compared to original methods. An extension of the proposed optimization method for video coding gave us state-of-the-art compression results with separable transforms. Also using the robust statistics, an explanation to the superiority of new design over other learning-based methods such as Karhunen-Loeve transform is provided. Finally, the new optimization method and the minimization of the "oracle" risk of diagonal estimators in signal estimation is shown to be equal. With the design of new diagonal estimators and the risk-minimization-based adaptation, a new image denoising algorithm is proposed. While these diagonal estimators denoise local image patches, by formulation the optimal fusion of overlapping local denoised estimates, the new denoising algorithm is scaled to operate on large images. In our experiments, the state-of-the-art results for transform-domain denoising are achieved.
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4

Yerima, 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.

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Анотація:
Mobile communication systems have continued to evolve beyond the currently deployed Third Generation (3G) systems with the main goal of providing higher capacity. Systems beyond 3G are expected to cater for a wide variety of services such as speech, data, image transmission, video, as well as multimedia services consisting of a combination of these. With the air interface being the bottleneck in mobile networks, recent enhancing technologies such as the High Speed Downlink Packet Access (HSDPA), incorporate major changes to the radio access segment of 3G Universal Mobile Telecommunications System (UMTS). HSDPA introduces new features such as fast link adaptation mechanisms, fast packet scheduling, and physical layer retransmissions in the base stations, necessitating buffering of data at the air interface which presents a bottleneck to end-to-end communication. Hence, in order to provide end-to-end Quality of Service (QoS) guarantees to multimedia services in wireless networks such as HSDPA, efficient buffer management schemes are required at the air interface. The main objective of this thesis is to propose and evaluate solutions that will address the QoS optimization of multimedia traffic at the radio link interface of HSDPA systems. In the thesis, a novel queuing system known as the Time-Space Priority (TSP) scheme is proposed for multimedia traffic QoS control. TSP provides customized preferential treatment to the constituent flows in the multimedia traffic to suit their diverse QoS requirements. With TSP queuing, the real-time component of the multimedia traffic, being delay sensitive and loss tolerant, is given transmission priority; while the non-real-time component, being loss sensitive and delay tolerant, enjoys space priority. Hence, based on the TSP queuing paradigm, new buffer managementalgorithms are designed for joint QoS control of the diverse components in a multimedia session of the same HSDPA user. In the thesis, a TSP based buffer management algorithm known as the Enhanced Time Space Priority (E-TSP) is proposed for HSDPA. E-TSP incorporates flow control mechanisms to mitigate congestion in the air interface buffer of a user with multimedia session comprising real-time and non-real-time flows. Thus, E-TSP is designed to provide efficient network and radio resource utilization to improve end-to-end multimedia traffic performance. In order to allow real-time optimization of the QoS control between the real-time and non-real-time flows of the HSDPA multimedia session, another TSP based buffer management algorithm known as the Dynamic Time Space Priority (D-TSP) is proposed. D-TSP incorporates dynamic priority switching between the real-time and non-real-time flows. D-TSP is designed to allow optimum QoS trade-off between the flows whilst still guaranteeing the stringent real-time component’s QoS requirements. The thesis presents results of extensive performance studies undertaken via analytical modelling and dynamic network-level HSDPA simulations demonstrating the effectiveness of the proposed TSP queuing system and the TSP based buffer management schemes.
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5

ANEDDA, 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.

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Анотація:
The transition from analogue TV to digital TV has led a fast-growing of available multimedia contents. In recent decades, there has been a great development of digital broadcasting systems, in addition to those relating to the existing DVB consortium other examples just as representative as DAB (Digital Audio Broadcasting) and DRM (Digital Radio Mondiale). The purpose of the Part I of this project therefore is as follows: the study and implementation of an algorithm for optimizing the planning of digital broadcasting networks based on COFDM modulation for use in single frequency networks (SFN). This algorithm manipulates the information on a broadcast network and estimates degree of coverage and interference that offers a particular network, and does it the best way possible and at minimum cost. Subsequently the study and implementation of this algorithm optimization, we have studied in terms of functionality and performance, to evaluate the usefulness of them and if conclusions drawn from their application can be applied reliably. Part II of this thesis proposes two novel algorithms: the Adaptive Eeal-time Multi-user Access Network Selection (ARMANS) and Prioritized ARMANS (P-ARMANS). ARMANS is a load balancing algorithm that takes into account not only the real-time global traffic load on each network, but also considering the different classes of traffic, voice, video, best-effort, and background. The proposed algorithm improves both QoS and load balancing in comparison with the case when a classic network selection with no traffic type load balancing is employed. The novel P-ARMANS load balancing algorithm Markov decision process (MDP)-based multi-agent framework was introduced to perform the bandwidth allocation on users with different typology and priority and considering and classifying the type of traffic involved in a multimedia data user demand. The proposed approach performs the available bandwidth on users with different screen resolution and priority. We demonstrate that P-ARMANS framework ensures high QoS distributing different type of traffic load among typical and business users compared to a classic no-priority model. Both ARMANS and P-ARMANS operate over heterogeneous wireless networks (HWNs), 4G-LTE and 802.11n.
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6

Rahman, Tasnim. "Optimization of Cross-Layer Network Data based on Multimedia Application Requirements." Digital WPI, 2019. https://digitalcommons.wpi.edu/etd-theses/1348.

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Анотація:
This thesis proposes a convex network utility maximization (NUM) problem that can be solved to optimize a cross-layer network based on user and system defined requirements for quality and link capacity of multimedia applications. The problem can also be converged to a distributed solution using dual decomposition. Current techniques do not address the changing system's requirements for the network in addition to the user's requirements for an application when optimizing a cross-layer network, but rather focus on optimizing a dynamic network to conform to a real-time application or for a specific performance. Optimizing the cross-layer network for the changing system and user requirements allows a more accurate optimization of the overall cross-layer network of any given multi-node, ad-hoc wireless application for data transmission quality and link capacity to meet overall mission demands.
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7

Kim, 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.

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Анотація:
As a large volume of digital video data becomes available, along with revolutionary advances in multimedia technologies, demand related to efficiently retrieving and recounting multimedia data has grown. However, the inherent complexity in representing and recognizing multimedia data, especially for large-scale and unconstrained consumer videos, poses significant challenges. In particular, the following challenges are major concerns in the proposed research. One challenge is that consumer-video data (e.g., videos on YouTube) are mostly unstructured; therefore, evidence for a targeted semantic category is often sparsely located across time. To address the issue, a segmental multi-way local feature pooling method by using scene concept analysis is proposed. In particular, the proposed method utilizes scene concepts that are pre-constructed by clustering video segments into categories in an unsupervised manner. Then, a video is represented with multiple feature descriptors with respect to scene concepts. Finally, multiple kernels are constructed from the feature descriptors, and then, are combined into a final kernel that improves the discriminative power for multimedia event detection. Another challenge is that most semantic categories used for multimedia retrieval have inherent within-class diversity that can be dramatic and can raise the question as to whether conventional approaches are still successful and scalable. To consider such huge variability and further improve recounting capabilities, a per-exemplar learning scheme is proposed with a focus on fusing multiple types of heterogeneous features for video retrieval. While the conventional approach for multimedia retrieval involves learning a single classifier per category, the proposed scheme learns multiple detection models, one for each training exemplar. In particular, a local distance function is defined as a linear combination of element distance measured by each features. Then, a weight vector of the local distance function is learned in a discriminative learning method by taking only neighboring samples around an exemplar as training samples. In this way, a retrieval problem is redefined as an association problem, i.e., test samples are retrieved by association-based rules. In addition, the quality of a multimedia-retrieval system is often evaluated by domain-specific performance metrics that serve sophisticated user needs. To address such criteria for evaluating a multimedia-retrieval system, in MFoM learning, novel algorithms were proposed to explicitly optimize two challenging metrics, AP and a weighted sum of the probabilities of false alarms and missed detections at a target error ratio. Most conventional learning schemes attempt to optimize their own learning criteria, as opposed to domain-specific performance measures. By addressing this discrepancy, the proposed learning scheme approximates the given performance measure, which is discrete and makes it difficult to apply conventional optimization schemes, with a continuous and differentiable loss function which can be directly optimized. Then, a GPD algorithm is applied to optimizing this loss function.
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8

Xu, Qing. "Flexible Radio Resource Management for Multicast Multimedia Service Provision : Modeling and Optimization." Thesis, Belfort-Montbéliard, 2014. http://www.theses.fr/2014BELF0237/document.

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Анотація:
Le conflit entre la demande de services multimédia en multidiffusion à haut débit (MBMS) et les limites en ressources radio demandent une gestion efficace de l'allocation des ressources radio (RRM) dans les réseaux 3G UMTS. À l'opposé des travaux existant dans ce domaine, cette thèse se propose de résoudre le problème de RRM dans les MBMS par une approche d’optimisation combinatoire. Le travail commence par une modélisation formelle du problème cible, désigné comme Flexible Radio Resource Management Model (F2R2M). Une analyse de la complexité et du paysage de recherche est effectuée à partir de ce modèle. Tout d’abord on montre qu'en assouplissant les contraintes de code OVSF, le problème de RRM pour les MBMS peut s'apparenter à un problème de sac à dos à choix multiples (MCKP). Une telle constatation permet de calculer les limites théoriques de la solution en résolvant le MCKP similaire. En outre, l'analyse du paysage montre que les espaces de recherche sont accidentés et constellés d'optima locaux. Sur la base de cette analyse, des algorithmes métaheuristiques sont étudiés pour résoudre le problème. Nous montrons tout d'abord que un Greedy Local Search (GLS) et un recuit simulé (SA) peuvent trouver de meilleures solutions que les approches existantes implémentées dans le système UMTS, mais la multiplicité des optima locaux rend les algorithmes très instables. Un algorithme de recherche tabou (TS) incluant une recherche à voisinage variable (VNS) est aussi développé et comparé aux autres algorithmes (GLS et SA) et aux approches actuelles du système UMTS ; les résultats de la recherche tabou dépassent toutes les autres approches. Enfin les meilleures solutions trouvées par TS sont également comparées avec les solutions théoriques générées par le solveur MCKP. On constate que les meilleures solutions trouvées par TS sont égales ou très proches des solutions optimales théoriques
The 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
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9

Ribeiro, Leila Zurba. "Traffic Dimensioning for Multimedia Wireless Networks." Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/27199.

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Анотація:
Wireless operators adopting third-generation (3G) technologies and those migrating from second-generation (2G) to 3G face a number of challenges related to traffic modeling, demand characterization, and performance analysis, which are key elements in the processes of designing, dimensioning and optimizing their network infrastructure. Traditional traffic modeling assumptions used for circuit-switched voice traffic no longer hold true with the convergence of voice and data over packet-switched infrastructures. Self-similar models need to be explored to appropriately account for the burstiness that packet traffic is expected to exhibit in all time scales. The task of demand characterization must include an accurate description of the multiple user profiles and service classes the network is expected to support, with their distinct geographical distributions, as well as forecasts of how the market should evolve over near and medium terms. The appropriate assessment of the quality of service becomes a more complex issue as new metrics and more intricate dependencies have to be considered when providing a varying range of services and applications that include voice, real-time, and non-real time data. All those points have to be considered by the operator to obtain a proper dimensioning, resource allocation, and rollout plan for system deployment. Additionally, any practical optimization strategy has to rely on accurate estimates of expected demand and growth in demand. In this research, we propose a practical framework to characterize the traffic offered to multimedia wireless systems that allows proper dimensioning and optimization of the system for a particular demand scenario. The framework proposed includes a methodology to quantitatively and qualitatively describe the traffic offered to multimedia wireless systems, solutions to model that traffic as practical inputs for simulation analysis, and investigation of demand-sensitive techniques for system dimensioning and performance optimization. We consider both theoretical and practical aspects related to the dimensioning of hybrid traffic (voice and data) for mobile wireless networks. We start by discussing wireless systems and traffic theory, with characterization of the main metrics and models that describe the users’ voice and data demand, presenting a review of the most recent developments in the area. The concept of service class is used to specify parameters that depend on the application type, performance requirements and traffic characteristics for a given service. Then we present the concept of “user profile,“ which ties together a given combination of service class, propagation environment and terminal type. Next, we propose a practical approach to explore the dynamics of user geographical distribution in creating multi-service, multi-class traffic layers that serve as input for network traffic simulation algorithms. The concept of quality-of-service (QoS) is also discussed, focusing on the physical layer for 3G systems. We explore system simulation as a way to dimension a system given its traffic demand characterization. In that context, we propose techniques to translate geographical distributions of user profiles into the actual number of active users of each layer, which is the key parameter to be used as input in simulations. System level simulations are executed for UMTS systems, with the purpose of validating the methodology proposed here. We complete the proposed framework by applying all elements together in the process of dimensioning and optimization of 3G wireless networks using the demand characterization for the system as input. We investigate the effects of modifying some elements in the system configuration such as network topology, radio-frequency (RF) configuration, and radio resource management (RRM) parameters, using strategies that are sensitive to traffic geographical distribution. Case study simulations are performed for Universal Mobile Telecommunications System (UMTS) networks, and multiple system variables (such as antenna tilts, pilot powers, and RRM parameters) are optimized using traffic sensitive strategies, which result in significant improvements in the overall system capacity and performance. Results obtained in the case studies, allied to a generic discussion of the trade-offs involved in the proposed framework, demonstrate the close dependence between the processes of system dimensioning and optimization with the accurate modeling of traffic demand offered to the system.
Ph. D.
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10

Khernane, Nesrine. "Collaborative multimedia sensors for a connected and smart city." Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCD027.

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Анотація:
En raison de leur fort potentiel applicatif dans différents domaines innovants (télésurveillance, télémédecine, etc.), les réseaux de capteurs multimédias sans fil (RCMSF) suscitent l’intérêt de nombreux travaux de recherche. En outre des contraintes soulevées par les réseaux de capteurs scalaires, les RCMSF imposent de nouvelles contraintes liées à la nature même des données capturées et manipulées. En effet, les données multimédias sont, sans aucune mesure, très largement volumineuses en comparaison aux données scalaires. De plus, leur contenu sémantique, très riche, dépendent de la qualité de l’acquisition. Dans le cadre de cette thèse, nous nous sommes intéressés à la problématique pratique d’un réseau de capteurs multimédias permettant de renseigner les automobilistes en temps réel sur les places de parking disponibles au niveau d’une ville, voire d’une agglomération. Cependant, de manière générale, les approches proposées dans nos travaux concernent tout RCMSF de surveillance.Dans ce contexte, l’objectif principal reste de maximiser la durée de vie du réseau tout en assurant une qualité perçue acceptable au niveau de la destination et ce sous un contrôle distribué (pour des raisons de passage à l’échelle évidentes). Deux axes sont à considérer : le traitement des données à la source et leur routage.Dans l'axe traitement de données, le problème principal réside dans la « qualité » des données à transmettre. De manière générale, plus la qualité est importante, plus les données sont volumineuses et conséquemment la consommation énergétique est importante et vice-versa. Il s’agit donc de trouver un équilibre qui préserve les ressources énergétiques, c-à-d. maximiser sa durée de vie tout en assurant une qualité acceptable des données envoyées. Cette dernière est le résultat d’un processus d’encodage au niveau de la source.Ainsi, nous avons d'abord abordé l'axe de traitement de données et proposé un algorithme complètement distribué qui maximise la durée de vie du réseau tout en assurant de manière optimale un équilibre entre la puissance d'encodage au niveau de la source et la qualité vidéo exigée au niveau de la destination. Contrairement aux approches existantes, notre algorithme, de nature distribuée, est assuré de trouver un tel compromis quelle que soit la configuration initiale du réseau.En raison de la complexité de ce problème, notamment dans un contexte décentralisé, les travaux antérieurs n’ont traité que la partie traitement de données indépendamment du routage. En d’autres termes, le routage a été considéré comme une entrée.Dans les travaux de recherche de cette thèse, nous avons par la suite montré que le routage impacte directement les résultats du processus de prolongation de la durée de vie du réseau. En effet, nous avons analysé le comportement de plusieurs protocoles de routage dans les RCMSF et les résultats obtenus ont mis en exergue cette influence. Nous avons donc proposé un modèle analytique intégrant de facto et le codage des données au niveau des sources et leur routage jusqu’à la station de traitement. Nous avons développé une résolution semi-distribuée de ce problème. Les résultats obtenus étaient très encourageants.Ainsi, dans la deuxième partie, une solution entièrement distribuée a été proposée, dans laquelle, l'axe de routage ne peut pas être réalisé sans les paramètres déterminés et mis à jour par l'axe de traitement de données, et inversement. La solution proposée permet: a) un routage de bout en bout avec des décisions locales dans chaque nœud capteur et b) de déterminer le nombre suffisant de chemins nécessaires pour assurer une transmission fiable de données.Pour la suite, nous avons complété nos travaux en considérant plus de contraintes réalistes, notamment la fiabilité des liens ainsi que la variation de leurs capacités (en fonction de l'énergie restante des nœuds intermédiaire). Les résultats de simulation ont montré une économie d’environs 25% de l'énergie totale
Due 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
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Книги з теми "Multimedia Optimization"

1

Karri, Ramesh, and David Goodman, eds. System-Level Power Optimization for Wireless Multimedia Communication. Boston: Kluwer Academic Publishers, 2002. http://dx.doi.org/10.1007/b117504.

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Virtanen, Seppo. Adoption and optimization of embedded and real-time communication systems. Hershey, PA: Information Science Reference, 2013.

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Ramesh, Karri, and Goodman David J. 1939-, eds. System-level power optimization for wireless multimedia communication: Power aware computing. Boston: Kluwer Academic, 2002.

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Video and multimedia transmissions over cellular networks: Analysis, modeling, and optimization in live 3G mobile networks. Chichester, West Sussex, U.K: Wiley, 2009.

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5

Soong, Kim Che, Melikov Agassi, and SpringerLink (Online service), eds. Performance Analysis and Optimization of Multi-Traffic on Communication Networks. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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Goodman, David J., and Ramesh Karri. System Level Power Optimization for Wireless Multimedia Communication: Power Aware Computing. Kap/Boston (E), 2002.

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System-Level Power Optimization for Wireless Multimedia Communication: Power Aware Computing. Springer, 2002.

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Goodman, David, and Ramesh Karri. System-Level Power Optimization for Wireless Multimedia Communication: Power Aware Computing. Springer, 2013.

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Goodman, David, and Ramesh Karri. System-Level Power Optimization for Wireless Multimedia Communication: Power Aware Computing. Springer, 2013.

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10

Shah, Mubarak, and Omar Oreifej. Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications. Springer, 2016.

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Частини книг з теми "Multimedia Optimization"

1

Yang, Gang, and Xirong Li. "Classifier Belief Optimization for Visual Categorization." In MultiMedia Modeling, 567–79. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67832-6_46.

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Channappayya, Sumohana, and Alan C. Bovik. "Structural Similarity Index Based Optimization." In Encyclopedia of Multimedia, 832–36. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78414-4_67.

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Piatrik, Tomas, and Ebroul Izquierdo. "Image Classification Using an Ant Colony Optimization Approach." In Semantic Multimedia, 159–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11930334_13.

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Fang, Chengfang, Chunwang Zhang, and Ee-Chien Chang. "An Optimization Model for Aesthetic Two-Dimensional Barcodes." In MultiMedia Modeling, 278–90. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04114-8_24.

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Yao, Peng, Hua Zhang, Yanbing Xue, and Shengyong Chen. "AGO: Accelerating Global Optimization for Accurate Stereo Matching." In MultiMedia Modeling, 67–80. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73603-7_6.

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Kofler, Ingo, Christian Timmerer, and Hermann Hellwagner. "Optimization-Based Multimedia Adaptation Decision-Taking." In Encyclopedia of Multimedia, 699–704. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78414-4_59.

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Ye, Mang, Jun Chen, Qingming Leng, Chao Liang, Zheng Wang, and Kaimin Sun. "Coupled-View Based Ranking Optimization for Person Re-identification." In MultiMedia Modeling, 105–17. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14445-0_10.

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Chen, Fangdong, and Houqiang Li. "Improved Rate-Distortion Optimization Algorithms for HEVC Lossless Coding." In MultiMedia Modeling, 454–65. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14445-0_39.

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Sheng, Zhe, Dajiang Zhou, Heming Sun, and Satoshi Goto. "Low-Complexity Rate-Distortion Optimization Algorithms for HEVC Intra Prediction." In MultiMedia Modeling, 541–52. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04114-8_46.

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10

Urruty, Thierry, Fatima Belkouch, Chabane Djeraba, Edouard Gerard, Jean de Bissy, Olivier Lombard, and Patrick Alleaume. "Optimization of Video Content Descriptions for Retrieval." In Encyclopedia of Multimedia, 698. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78414-4_171.

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Тези доповідей конференцій з теми "Multimedia Optimization"

1

Mancas, Catalina, and Mihai Mocanu. "QoS optimization in congested multimedia networks." In 2013 36th International Conference on Telecommunications and Signal Processing (TSP). IEEE, 2013. http://dx.doi.org/10.1109/tsp.2013.6613887.

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Chang, Seok-Ho, Jihwan P. Choi, Pamela C. Cosman, and Laurence B. Milstein. "Scalable multimedia optimization in MIMO systems." In MILCOM 2015 - 2015 IEEE Military Communications Conference. IEEE, 2015. http://dx.doi.org/10.1109/milcom.2015.7357433.

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Barreto, Priscila Solis, and Paulo H. P. de Carvalho. "Network Planning Optimization for Multimedia Networks." In 2008 7th IEEE International Symposium on Network Computing and Applications (NCA). IEEE, 2008. http://dx.doi.org/10.1109/nca.2008.30.

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Huang, Jianwei. "Session details: Multimedia over wireless symposium: collaborative and optimization for multimedia." In IWCMC07: International Wireless Communications and Mobile Computing Conference. New York, NY, USA: ACM, 2007. http://dx.doi.org/10.1145/3259077.

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Razaque, Abdul, Sai Subramanya Vamsi Chavali, Sundeep Goud Malkapuram, Satya Siva Varma Nadimpalli, Suharsha Vommina, Dinesh Kumar Atukuri, and Vamsee Sai Malllapu. "Trans receiving multimedia using Raspberry-Pi." In 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). IEEE, 2016. http://dx.doi.org/10.1109/iceeot.2016.7755019.

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Rui, Liu, Yan Danfeng, Lin Fan, and Yang Fangchun. "Optimization of hierarchical vulnerability assessment method." In Multimedia Technology (IC-BNMT). IEEE, 2009. http://dx.doi.org/10.1109/icbnmt.2009.5348535.

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Safadi, Bahjat, and Georges Quenot. "Descriptor optimization for multimedia indexing and retrieval." In 2013 11th International Workshop on Content-Based Multimedia Indexing (CBMI). IEEE, 2013. http://dx.doi.org/10.1109/cbmi.2013.6576554.

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Cao, Yu, Steven D. Blostein, and Wai-Yip Chan. "Optimization of rateless-coded asynchronous multimedia multicast." In 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.

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Gao, Sheng, and Qibin Sun. "Classifier Optimization for Multimedia Semantic Concept Detection." In 2006 IEEE International Conference on Multimedia and Expo. IEEE, 2006. http://dx.doi.org/10.1109/icme.2006.262824.

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10

Jing, Sun, and Sun Yafei. "Optimization Electrical Engineering Teaching Utilize Multimedia Courseware." In 2008 International Conference on Computer Science and Software Engineering. IEEE, 2008. http://dx.doi.org/10.1109/csse.2008.234.

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