Current Issue : July - September Volume : 2017 Issue Number : 3 Articles : 6 Articles
With the goal of addressing the issue of image compression in wireless multimedia sensor\nnetworks with high recovered quality and low energy consumption, an image compression and\ntransmission scheme based on non-negative matrix factorization (NMF) is proposed in this paper.\nFirst, the NMF algorithm theory is studied. Then, a collaborative mechanism of image capture,\nblock, compression and transmission is completed. Camera nodes capture images and send them\nto ordinary nodes which use an NMF algorithm for image compression. Compressed images are\ntransmitted to the station by the cluster head node and received from ordinary nodes. The station\ntakes on the image restoration. Simulation results show that, compared with the JPEG2000 and\nsingular value decomposition (SVD) compression schemes, the proposed scheme has a higher quality\nof recovered images and lower total node energy consumption. It is beneficial to reduce the burden of\nenergy consumption and prolong the life of the whole network system, which has great significance\nfor practical applications of WMSNs....
We present a scheme for commutative watermarking-encryption (CWE) of audio data and demonstrate its robustness against an\nimportant class of attacks, Time-ScaleModifications (TSM). In addition,we showhowthe proposed CWEscheme can be integrated\ninto a cryptographic protocol enabling public verification of the embedded mark without disclosing the mark or the watermarking\nkey used for embedding....
In order to improve the quality of multimedia communication and experience, we proposed a crowd service\ncooperation control protocol based on the opportunistic wavelet model. Firstly, in order to provide real-time and\nreliable guarantee for mobile multimedia services, we analyze the delay, jitter, and distortion of wireless multimedia\nstreams transmission based on wavelet model. The method of video frame resolution analysis and wavelet scale\nspace is combined to establish a wavelet multimedia mobile analysis model. Secondly, the crowd service plan was\nproposed to correctly decode and compensate the video frame in the mobile multimedia receiver. Finally, the\ncooperative control of crowd services was proposed to address the distortion competition problems of the video\nframe sequence. A set of experimental results demonstrate the capability of video frame quality assurance for\nmobile multimedia crowd service cooperation control protocol. Another group of comparative analysis of the\nexperiment results fully demonstrate the mobile multimedia crowd service cooperative control protocol can\nprovide the higher system throughput and smaller delay compared with the guarantee mechanism of multimedia\nquality of service based on wavelet analysis....
Designing an effective and high performance network requires an accurate characterization and modeling of network traffic. The\nmodeling of video frame sizes is normally applied in simulation studies and mathematical analysis and generating streams for\ntesting and compliance purposes. Besides, video traffic assumed as a major source of multimedia traffic in future heterogeneous\nnetwork. Therefore, the statistical distribution of video data can be used as the inputs for performance modeling of networks. The\nfinding of this paper comprises the theoretical definition of distribution which seems to be relevant to the video trace in terms of\nits statistical properties and finds the best distribution using both the graphical method and the hypothesis test. The data set used\nin this article consists of layered video traces generating from Scalable Video Codec (SVC) video compression technique of three\ndifferent movies....
In this paper, we aimto propose an image compression and reconstruction strategy under the compressed sensing (CS) framework\nto enable the green computation and communication for the Internet of Multimedia Things (IoMT). The core idea is to explore\nthe statistics of image representations in the wavelet domain to aid the reconstruction method design. Specifically, the energy\ndistribution of natural images in the wavelet domain is well characterized by an exponential decay model and then used in the\ntwo-step separate image reconstruction method, by which the row-wise (or column-wise) intermediates and column-wise (or rowwise)\nfinal results are reconstructed sequentially. Both the intermediates and the final results are constrained to conform with the\nstatistical prior by using a weight matrix. Two recovery strategies with different levels of complexity, namely, the direct recovery\nwith fixed weight matrix (DR-FM) and the iterative recovery with refined weight matrix (IR-RM), are designed to obtain different\nquality of recovery. Extensive simulations show that bothDR-FM and IR-RM can achievemuch better image reconstruction quality\nwith much faster recovery speed than traditional methods....
With the proliferation of heterogeneous networks, there is a need to provide multimedia\nstream services in a sustainable manner. It is especially critical to maintain the Quality of Service\n(QoS) standards. Existing multimedia streaming services have been studied to guarantee QoS on\nthe receiving side. QoS has not been ensured due to the fact that the loss of streaming data to be\ntransmitted has not been considered in network conditions. With an algorithm that considers the QoS\nand can reduce the overhead of the network, it will be possible to reduce the transmission error and\nwastage of communication network resources. In this paper, we propose a scheme that improves the\nreliability of multimedia transmissions by using an adaptive algorithm that switches between UDP\n(User Datagram Protocol) and TCP (Transmission Control Protocol) based on the size of the data.\nIn addition, we present a method that retransmits essential portions of the multimedia data, thus\nimproving transmission efficiency. We simulate an MPEG (Moving Picture Experts Group) stream\nservice and evaluate the performance of the proposed adaptive MPEG stream service....
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