Table of Content

01 February 2016, Volume 14 Issue 1

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Special Topic

Emerging Technologies of Future Multimedia Coding, Analysis and Transmission

Huifang Sun, Can Shen, Ping Wu

2016, 14(1):  1-2. 

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By extracting the control plane from the data plane, SDN enables unprecedented flexibility for future network architectures and quickly changes the landscape of the networking industry. Although the maturity of commonly accepted SDN security practices is the key to the proliferation of cloud DCN, SDN security research is still in its infancy. This paper gives a top-down survey of the approaches in this area, discussing security challenges and opportunities of software-defined datacenter networking for cloud computing. It leverages the well-known confidentiality-integrity-availability (CIA) matrix and protection-detection-reaction (PDR) model to give an overview of current security threats and security measures. It also discusses promising research directions in this field.

Overview of the Second Generation AVS Video Coding Standard (AVS2)

Shanshe Wang, Falei Luo, Siwei Ma

2016, 14(1):  3-11.  doi:10.3969/j.issn.1673-5188.2016.01.001

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AVS2 is a new generation video coding standard developed by the AVS working group. Compared with the first generation AVS video coding standard, known as AVS1, AVS2 significantly improves coding performance by using many new coding technologies, e.g., adaptive block partition and two level transform coding. Moreover, for scene video, e.g. surveillance video and conference vid?eo, AVS2 provided a background picture modeling scheme to achieve more accurate prediction, which can also make object detec?tion and tracking in surveillance video coding more flexible. Experimental results show that AVS2 is competitive with High Effi?ciency Video Coding (HEVC) in terms of performance. Especially for scene video, AVS2 can achieve 39% bit rate saving over HEVC.

An Introduction to High Efficiency Video Coding Range Extensions

Bin Li, Jizheng Xu

2016, 14(1):  12-18.  doi:10.3969/j.issn.1673-5188.2016.01.002

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High Efficiency Video Coding (HEVC) is the latest international video coding standard, which can provide the similar quality with about half bandwidth compared with its predecessor, H.264/MPEG-4 AVC. To meet the requirement of higher bit depth coding and more chroma sampling formats, range extensions of HEVC were developed. This paper introduces the coding tools in HEVC range extensions and provides experimental results to compare HEVC range extensions with previous video coding standards. Ex?perimental results show that HEVC range extensions improve coding efficiency much over H.264/MPEG-4 AVC High Predictive profile, especially for 4K sequences.

Multi-Layer Extension of the High Efficiency Video Coding (HEVC) Standard

Ming Li, Ping Wu

2016, 14(1):  19-23.  doi:10.3969/j.issn.1673-5188.2016.01.003

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Multi-layer extension is based on single-layer design of High Efficiency Video Coding (HEVC) standard and employed as the common structure for scalability and multi-view video coding extensions of HEVC. In this paper, an overview of multi-layer extension is presented. The concepts and advantages of multi-layer extension are briefly described. High level syntax (HLS) for multi-layer extension and several new designs are also detailed.

SHVC, the Scalable Extensions of HEVC, and Its Applications

Yan Ye, Yong He, YeKui Wang, Hendry

2016, 14(1):  24-41.  doi:10.3969/j.issn.1673-5188.2016.01.004

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This paper discusses SHVC, the scalable extension of the High Efficiency Video Coding (HEVC) standard, and its applications in broadcasting and wireless broadband multimedia services. SHVC was published as part of the second version of the HEVC specification in 2014. Since its publication, SHVC has been evaluated by application standards development organizations (SDOs) for its potential benefits in video applications, such as terrestrial and mobile broadcasting in ATSC 3.0, as well as a variety of 3GPP mul?timedia services, including multi-party multi-stream video conferencing (MMVC), multimedia broadcast/multicast service (MBMS), and dynamic adaptive streaming over HTTP (DASH). This paper provides a brief overview of SHVC and the performance and complexity analyses of using SHVC in these video applications.

ITP Colour Space and Its Compression Performance for High Dynamic Range and Wide Colour Gamut Video Distribution

Taoran Lu, Fangjun Pu, Peng Yin, Tao Chen, Walt Husak, Jaclyn Pytlarz, Robin Atkins, Jan Fr-hlich, Guan-Ming Su

2016, 14(1):  32-38.  doi:10.3969/j.issn.1673-5188.2016.01.005

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High Dynamic Range (HDR) and Wider Colour Gamut (WCG) content represents a greater range of luminance levels and a more complete reproduction of colours found in real-world scenes. The current video distribution environments deliver Standard Dynamic Range (SDR) signal Y′CbCr. For HDR and WCG content, it is desirable to examine if such signal format still works well for compression, and to know if the overall system performance can be further improved by exploring different signal formats. In this paper, ITP (ICTCP) colour space is presented. The paper concentrates on examining the two aspects of ITP colour space: 1) ITP characteristics in terms of signal quantization at a given bit depth; 2) ITP compression performance. The analysis and simulation results show that ITP 10 bit has better properties than Y′CbCr-PQ 10bit in colour quantization, constant luminance, hue property and chroma subsampling, and it also has good compression efficiency. Therefore it is desirable to adopt ITP colour space as a new signal format for HDR/WCG video compression.

DASH and MMT and Their Applications in ATSC 3.0

Yiling Xu, Shaowei Xie, Hao Chen, Le Yang, Jun Sun

2016, 14(1):  39-49.  doi:10.3969/j.issn.1673-5188.2016.01.006

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Despite the success of MPEG-2 Transport Stream (TS) being used to deliver services in broadcast channels, the increase of ondemand viewing of multimedia content over IP with browser-centric media endpoints introduces a new requirement for more individualized and flexible access to content. This has resulted in alternatives to MPEG-2 TS. While the needs of interactive broadcast services (such as personalized advertisement or selection of audio stream with a language suitable for a specific user) grow there is an active standardization work under going for the next generation broadcasting systems. To best enable a complete system of hybrid broadcast and broadband services, Advanced Television Systems Committee (ATSC) 3.0 has developed an enhanced broadcast transport method named Real-Time Object Delivery over Unidirectional Transport (ROUTE)/DASH for delivery of DASH-formatted content and non-real time (NRT) data. Additionally, for broadcasting, ATSC 3.0 has also adopted MPEG Media Transport (MMT) standard, which inherits major advantageous features of MPEG-2 TS and is very useful in real-time streaming delivery via a unidirectional delivery network.This paper mainly describes features and design considerations of ATSC 3.0, and discusses the applications of the transport protocols used for broadcasting, i.e., ROUTE/DASH and MMT, whose comparative introductions are also presented in details.

Introduction to AVS2 Scene Video Coding Techniques

Jiaying Yan, Siwei Dong, Yonghong Tian, and Tiejun Huang

2016, 14(1):  50-53.  doi:10.3969/j.issn.1673-5188.2016.01.007

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The second generation Audio Video Coding Standard (AVS2) is the most recent video coding standard. By introducing several new coding techniques, AVS2 can provide more efficient compression for scene videos such as surveillance videos, conference videos, etc. Due to the limited scenes, scene videos have great redundancy especially in background region. The new scene video coding techniques applied in AVS2 mainly focus on reducing redundancy in order to achieve higher compression. This paper introduces several important AVS2 scene video coding techniques. Experimental results show that with scene video coding tools, AVS2 can save nearly 40% BD-rate (Bj?ntegaard?Delta bit-rate) on scene videos.

Review

From CIA to PDR:A Top-Down Survey of SDN Security for Cloud DCN

Zhi Liu, Xiang Wang, and Jun Li

2016, 14(1):  54-60.  doi:10.3969/j.issn.1673-5188.2016.01.008

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By extracting the control plane from the data plane, SDN enables unprecedented flexibility for future network architectures and quickly changes the landscape of the networking industry. Although the maturity of commonly accepted SDN security practices is the key to the proliferation of cloud DCN, SDN security research is still in its infancy. This paper gives a top-down survey of the approaches in this area, discussing security challenges and opportunities of software-defined datacenter networking for cloud computing. It leverages the well-known confidentiality-integrity-availability (CIA) matrix and protection-detection-reaction (PDR) model to give an overview of current security threats and security measures. It also discusses promising research directions in this field.

Research Paper

A Software-Defined Approach to IoT Networking

Christian Jacquenet, Mohamed Boucadair

2016, 14(1):  61-68.  doi:10.3969/j.issn.1673-5188.2016.01.009

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It is foreseen that the Internet of Things (IoT) will comprise billions of connected devices, and this will make the provisioning and operation of some IoT connectivity services more challenging. Indeed, IoT services are very different from legacy Internet services because of their dimensioning figures and also because IoT services differ dramatically in terms of nature and constraints. For example, IoT services often rely on energy and CPU-constrained sensor technologies, regardless of whether the service is for home automation, smart building, e-health, or power or water metering on a regional or national scale. Also, some IoT services, such as dynamic monitoring of biometric data, manipulation of sensitive information, and privacy needs to be safeguarded whenever this information is forwarded over the underlying IoT network infrastructure. This paper discusses how software?defined networking (SDN) can facilitate the deployment and operation of some advanced IoT services regardless of their nature or scope. SDN introduces a high degree of automation in service delivery and operation—from dynamic IoT service parameter exposure and negotiation to resource allocation, service fulfillment, and assurance. This paper does not argue that all IoT services must adopt SDN. Rather, it is left to the discretion of operators to decide which IoT services can best leverage SDN capabilities. This paper only discusses managed IoT services, i.e., services that are operated by a service provider.

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The whole issue of ZTE Communications February 2016, Vol. 14 No. 1

2016, 14(1):  0. 

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