It is widely recognized that, in addition to the quality-of-service (QoS), energy efficiency is also a key parameter in designing and evaluating mobile multimedia communication systems, which has ...catalyzed great interest in recent literature. In this paper, an energy-efficiency model is first proposed for multiple-input-multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) mobile multimedia communication systems with statistical QoS constraints. Employing the channel-matrix singular value decomposition (SVD) method, all subchannels are classified by their channel characteristics. Furthermore, the multichannel joint optimization problem in conventional MIMO-OFDM communication systems is transformed into a multitarget single-channel optimization problem by grouping all subchannels. Therefore, a closed-form solution of the energy-efficiency optimization is derived for MIMO-OFDM mobile multimedia communication systems. As a consequence, an energy-efficiency optimized power allocation (EEOPA) algorithm is proposed to improve the energy efficiency of MIMO-OFDM mobile multimedia communication systems. Simulation comparisons validate that the proposed EEOPA algorithm can guarantee the required QoS with high energy efficiency in MIMO-OFDM mobile multimedia communication systems.
Steganography using image interpolation has created a new research area in multimedia communication. A reversible data concealing in HSI and CMY color models using image interpolation is proposed in ...this paper. The HSI and CMY image models are interpolated using High Capacity Reversible Steganography (CRS) technique. The median plane of both HSI and CMY color models are selected for secret message bit concealing. The secret message bits are concealed in the cover plane by Exclusive OR (XOR) operation. Since the cover image is recovered after secret message bit retrieval, this finds application in military and medical imaging applications. The experimental results of proposed scheme showed very high embedding capacity of about 16 bits in each pixel location of calculated pixel value, good image quality with a surface similarity index measure (SSIM) value 1 and high PSNR. Also, high robustness is achieved on comparing with the existing works.
Estimating human age automatically via facial image analysis has lots of potential real-world applications, such as human computer interaction and multimedia communication. However, it is still a ...challenging problem for the existing computer vision systems to automatically and effectively estimate human ages. The aging process is determined by not only the person's gene, but also many external factors, such as health, living style, living location, and weather conditions. Males and females may also age differently. The current age estimation performance is still not good enough for practical use and more effort has to be put into this research direction. In this paper, we introduce the age manifold learning scheme for extracting face aging features and design a locally adjusted robust regressor for learning and prediction of human ages. The novel approach improves the age estimation accuracy significantly over all previous methods. The merit of the proposed approaches for image-based age estimation is shown by extensive experiments on a large internal age database and the public available FG-NET database.
With the challenges presented by new media, shifting media patterns, and divided consumer attention, the optimal integration of marketing communications takes on increasing importance. Drawing on a ...review of relevant academic research and guided by managerial priorities, the authors offer insights and advice as to how traditional and new media such as search, display, mobile, TV, and social media interact to affect consumer decision making. With an enhanced understanding of the consumer decision journey and how consumers process communications, the authors outline a comprehensive framework featuring two models designed to improve the effectiveness and efficiency of integrated marketing communication programs: a "bottom-up" communications matching model and a "top-down" communications optimization model. The authors conclude by suggesting important future research priorities.
While achieving promising performance, there are still many challenges for the long term evolution advanced networks to offer support for the evolving multimedia services, especially in current big ...multimedia data era. The conventional multimedia communication schemes tend to serve all group members with the data rate supported by the receiver under the worst channel condition, which, however, may not provide satisfactory quality of service (QoS) for all receivers. In this paper, we propose a cluster-oriented device-to-device (D2D) multimedia communication scheme for multimedia services, which extends the conventional scheme with additional D2D communication to increase the total system data rate and thus provide satisfactory QoS for all receivers. In the proposed scheme, we jointly consider the power, bandwidth, and link selection optimization. To derive the optimal solution, we decompose the whole optimization problem into three subproblems. Specifically, we first formulate the power allocation problem as a Stackelberg game by fixing the bandwidth and D2D links as parameters, where the players are the multimedia server (MS) and the candidate D2D transmitter. The MS is the buyer who buys the power from the candidate D2D transmitter for D2D transmission and the candidate D2D transmitter is the seller who earns reward by helping the MS with the D2D transmission. Through analyzing the game, we derive the Stackelberg equilibrium as the optimal power allocation. Then, with the optimal power allocation, we optimize the bandwidth allocation and link selection by maximizing the MS's utility function. Finally, simulations are conducted to validate the proposed scheme.
Network Coding Meets Multimedia: A Review Magli, Enrico; Mea Wang; Frossard, Pascal ...
IEEE transactions on multimedia,
08/2013, Letnik:
15, Številka:
5
Journal Article
Recenzirano
While every network node only relays messages in a traditional communication system, the recent network coding (NC) paradigm proposes to implement simple in-network processing with packet ...combinations in the nodes. NC extends the concept of "encoding" a message beyond source coding (for compression) and channel coding (for protection against errors and losses). It has been shown to increase network throughput compared to traditional networks implementation, to reduce delay and to provide robustness to transmission errors and network dynamics. These features are so appealing for multimedia applications that they have spurred a large research effort towards the development of multimedia-specific NC techniques. This paper reviews the recent work in NC for multimedia applications and focuses on the techniques that fill the gap between NC theory and practical applications. It outlines the benefits of NC and presents the open challenges in this area. The paper initially focuses on multimedia-specific aspects of network coding, in particular delay, in-network error control, and media-specific error control. These aspects permit to handle varying network conditions as well as client heterogeneity, which are critical to the design and deployment of multimedia systems. After introducing these general concepts, the paper reviews in detail two applications that lend themselves naturally to NC via the cooperation and broadcast models, namely peer-to-peer multimedia streaming and wireless networking.
Most existing Quality of Experience (QoE)-driven multimedia resource allocation methods assume that the QoE model of each user is known to the controller before the start of the multimedia playout. ...However, this assumption may be invalid in many practical scenarios. In this paper, we address the resource allocation problem with incomplete information where the realized mean opinion score (MOS) can only be observed over time, but the underlying QoE model and playout time are unknown. We consider two variants of this problem: 1) the form of the QoE model is known but the parameters are unknown; 2) both the form and the parameters of the QoE model are unknown. For both cases, we develop dynamic resource allocation schemes based on online test-optimization strategy. Simply speaking, one first spends appropriate time on testing the QoE model, then optimizes the sum of the MOS in the remaining playout time. The highlight of this paper lies in resolving the inherent tension between the test and optimization by jointly considering the uncertainties of QoE model and playout time. Furthermore, we derive tight bounds on the MOS loss incurred by the proposed schemes in comparison with the optimal scheme that knows the QoE model a priori and prove that the performance gap, as the playout time tends to infinity, asymptotically shrinks to zero.
This paper offers an in-depth exploration of semantic communications, focusing on its integral role in wireless networks. We dissect its foundational architecture and the key elements that enable ...seamless AI integration. Our research categorizes semantic communications into various multimedia and task types, evaluating their applicability in both single and multitasking environments. We also investigate resource allocation and goal-oriented strategies, supported by empirical case studies. The paper concludes by spotlighting emerging trends, including AI, IoT, and 5G beyond. It identifies pressing challenges such as standardization, security, and efficiency. Our work provides a holistic understanding of contemporary semantic communications paradigms.
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