The second version of the high-efficiencyvideocoding standard introduced a scalable extension, which is called scalable high-efficiency video coding. It is necessary to design appropriate rate controllers for this e...
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The second version of the high-efficiencyvideocoding standard introduced a scalable extension, which is called scalable high-efficiency video coding. It is necessary to design appropriate rate controllers for this extension based on the specific application requirements. According to delay and buffering constraints, rate control algorithms are divided into constant bit rate and variable bit rate (VBR) algorithms. Our focus is on high-delay applications like streaming and broadcast for which VBR controllers are suitable. Our proposed VBR controller utilizes a fuzzy logic-based algorithm to control long-term average bit rate while preventing buffer overflow or underflow. Targeting perceptual quality, the proposed algorithm has been implemented at the group of pictures level to minimize unnecessary fluctuations of quantization parameter and consequently minimizing video quality fluctuations. Experimental results show a high performance in terms of rate control and quality of the compressed video for the proposed algorithm. (C) 2018 SPIE and IS&T
With the ever-growing demand in video transmissions, it is essential to design an efficient compression and powerful transmission scheme to transmit a large volume of data in wireless multimedia sensor networks (WMSNs...
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With the ever-growing demand in video transmissions, it is essential to design an efficient compression and powerful transmission scheme to transmit a large volume of data in wireless multimedia sensor networks (WMSNs). The main objective of this work is to maximize the network throughput and to maintain/support a better visual experience to different end-users. In this paper, we propose a predictive compression with fault-tolerant embedding based multi-path routing and concealment process to maintain the Quality of Service (QoS) and Quality of Experience (QoE) in video transmission. In order to reduce the bit rate in high-efficiencyvideos, a scalablehigh-efficiency Inter-layer Prediction based videocoding (SHIPVC) is proposed with two layer predictions such as texture color, and motion with different quantization parameters to attain the highcodingefficiency. After compression, a multi-path genetic algorithm establishes a routing and fault tolerance embedding during transmission to maintain the QoS. In decoding side, QoE is maintained by concealing the Intra frame (I-frame) and Predicted frame (P-frame) separately using the motion vector estimation. Experimental results show better performances through bit rate reduction, maximum fault tolerance, and minimum delay parameters. The PSNR calculation for concealment technique shows the better result when compared to the previous standards. Hence, the proposed method performs the effective video transmission with acceptable quality measurements in WMSNs. (C) 2018 Published by Elsevier B.V.
As an extension of the highefficiencyvideocoding standard, scalable high-efficiency video coding (SHVC) has been developed to satisfy the challenges posed by heterogeneous environments. A layer-based scheme is empl...
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As an extension of the highefficiencyvideocoding standard, scalable high-efficiency video coding (SHVC) has been developed to satisfy the challenges posed by heterogeneous environments. A layer-based scheme is employed to support various forms of scalability, but this results in significantly increased computational complexity. A fast coding Unit (CU) size decision algorithm is proposed to alleviate the additional computational requirement of the Enhancement Layers (ELs). The inter-layer dependency and the spatial correlation are jointly used to skip and early terminate the CU size decision process. In addition, the quantitive relationship between the texture homogeneity and the AC coefficient energy is investigated to further narrow the depth range to be evaluated. Experimental results show that the proposed scheme saves encoding time by up to 72% compared with the SHM 12.0 implementation, with negligible degradation in Rate-Distortion performance.
The last few years, significant advances which improve healthcare have been done in Internet of Things, in cloud computing, in videocoding, and in mobile devices. This paper provides an overview of these advances. Al...
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ISBN:
(纸本)9781509034741
The last few years, significant advances which improve healthcare have been done in Internet of Things, in cloud computing, in videocoding, and in mobile devices. This paper provides an overview of these advances. Also, we propose an IoT-based surveillance system for ubiquitous healthcare monitoring. The system consists of sensors, actuators, and cameras. Mesh topology was decided to be used as it provides important advantages. Moreover, the Constrained Application Protocol (CoAP) is used for the data compression and transferring, and the scalable high-efficiency video coding (SHVC) is used for the video compression and transferring. The SHVC can deliver the same video quality in half of the bit rate than the high-efficiencyvideocoding (HEVC). Furthermore, cloud services are provided, such as storage and real-time monitoring. Finally, we made a comparative analysis between our proposed system architecture and two other approaches. From this analysis, we can say that our system architecture has some benefits instead of other similar architectures. Also, we made an analysis of the bandwidth and the network throughput. The results are significant since the bandwidth required for the transmission of data and video is reduced.
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