The Experts below are selected from a list of 7416 Experts worldwide ranked by ideXlab platform
Thomas Wiegand - One of the best experts on this subject based on the ideXlab platform.
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efficient http based streaming using Scalable Video Coding
Signal Processing-image Communication, 2012Co-Authors: Yago Sanchez, Cornelius Hellge, Thomas Schierl, Thomas Wiegand, Dohy Hong, Danny De Vleeschauwer, W Van Leekwijck, Le Y LouedecAbstract:HTTP-based Video streaming has been gaining popularity within the recent years. There are multiple benefits of relying on HTTP/TCP connections, such as the usage of the widely deployed network caches to relieve Video servers from sending the same content to a high number of users and the avoidance of traversal issues with firewalls and NATs typical for RTP/UDP-based solutions. Therefore, many service providers resort to adopt HTTP streaming as the basis for their services. In this paper, the benefits of using the Scalable Video Coding (SVC) for a HTTP streaming service are shown, and the SVC based approach is compared to the AVC based approach. We show that network resources are more efficiently used and how the benefits of the traditional techniques can even be heightened by adopting the Scalable Video Coding (SVC) as the Video codec for adaptive low delay streaming over HTTP. For the latter small playout-buffers are considered hence allowing low media access latency in the delivery chain and it is shown that adaptation is more effectively performed with the SVC based approach.
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idash improved dynamic adaptive streaming over http using Scalable Video Coding
ACM SIGMM Conference on Multimedia Systems, 2011Co-Authors: Yago Sanchez De La Fuente, Cornelius Hellge, Thomas Schierl, Thomas Wiegand, Dohy Hong, Danny De Vleeschauwer, Werner Van Leekwijck, Yannick Le LouedecAbstract:HTTP-based delivery for Video on Demand (VoD) has been gaining popularity within recent years. Progressive Download over HTTP, typically used in VoD, takes advantage of the widely deployed network caches to relieve Video servers from sending the same content to a high number of users in the same access network. However, due to a sharp increase in the requests at peak hours or due to cross-traffic within the network, congestion may arise in the cache feeder link or access link respectively. Since the connection characteristics may vary over the time, with Dynamic Adaptive Streaming over HTTP (DASH), a technique that has been recently proposed, Video clients may dynamically adapt the requested Video quality for ongoing Video flows, to match their current download rate as good as possible. In this work we show the benefits of using the Scalable Video Coding (SVC) for such a DASH environment.
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hd Video broadcasting using Scalable Video Coding combined with dvb s2 variable Coding and modulation
2010 5th Advanced Satellite Multimedia Systems Conference and the 11th Signal Processing for Space Communications Workshop, 2010Co-Authors: S Mirta, Pablo Iñigo, C Leguern, L. Guarnieri, Thomas Schierl, Thomas Wiegand, Jérôme TroncAbstract:The Scalable Video Coding (SVC) is an extension of H.264/AVC offering temporal, spatial, and quality scalability. Compared to the non-Scalable profile of H.264/AVC, SVC allows layered transmission of Video data. Variable Coding and Modulation (VCM) based DVB-S2 Video Broadcasting Systems enables effective selection of modulation modes and FEC coderates offering differentiated error protection. In this work the usage of SVC with the DVB-S2 VCM mode has been investigated.
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Scalable Video Coding over RTP and MPEG-2 transport stream in broadcast and IPTV channels
IEEE Wireless Communications, 2009Co-Authors: Thomas Schierl, Karsten Grüneberg, Thomas WiegandAbstract:The ITU-T and ISO/IEC standard for Scalable Video Coding was recently finalized. SVC allows for scalability of the Video bitstream in the temporal, spatial, or fidelity domain, or any combination of those. Video scalability may be used for different purposes, such as saving bandwidth when the same media content is required to be sent simultaneously on a broadcast medium at different resolutions to support heterogeneous devices, when unequal error protection shall be used for coverage extension in wireless broadcasting, as well as for rate shaping in IPTV environments. Furthermore, it may also be useful in layered multicast transmission over the Internet or peer-to-peer networks, or in any transmission scenario where prioritized transmission for network flows is meaningful. In order to make usage of SVC in the aforementioned use cases, standards for defining the transport format and procedure are required. Therefore, we give a detailed overview of the recently finished SVC standards on transport over IP/RTP and the MPEG-2 transport stream. Both standards are important for IPTV and Video on demand, where the first is important for SVC transport over mobile broadcast/multicast channels, and the latter is also important for SVC transport over traditional digital broadcast channels.
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Scalable Video Coding for iptv services
IEEE Transactions on Broadcasting, 2009Co-Authors: Thomas Wiegand, L Noblet, Fabrizio RovatiAbstract:Scenarios for the use of the recently approved Scalable Video Coding (SVC) extension of H.264/MPEG4-AVC in IPTV services are presented. For that, a brief technical overview of SVC when deployed in IPTV services is provided. The Coding efficiency of the various scalability types of SVC is demonstrated followed by an analysis of the complexity of the various SVC tools. Based on this technical characterization, it is described how the different SVC features such as efficient methods for graceful degradation, bit rate adaptation, and format adaptation, can be mapped to application requirements of IPTV services. It is discussed how such mappings can lead to improved content portability, management and distribution as well as an improved management of access network throughput resulting in better quality of service and experience for the users of IPTV services.
Thomas Schierl - One of the best experts on this subject based on the ideXlab platform.
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efficient http based streaming using Scalable Video Coding
Signal Processing-image Communication, 2012Co-Authors: Yago Sanchez, Cornelius Hellge, Thomas Schierl, Thomas Wiegand, Dohy Hong, Danny De Vleeschauwer, W Van Leekwijck, Le Y LouedecAbstract:HTTP-based Video streaming has been gaining popularity within the recent years. There are multiple benefits of relying on HTTP/TCP connections, such as the usage of the widely deployed network caches to relieve Video servers from sending the same content to a high number of users and the avoidance of traversal issues with firewalls and NATs typical for RTP/UDP-based solutions. Therefore, many service providers resort to adopt HTTP streaming as the basis for their services. In this paper, the benefits of using the Scalable Video Coding (SVC) for a HTTP streaming service are shown, and the SVC based approach is compared to the AVC based approach. We show that network resources are more efficiently used and how the benefits of the traditional techniques can even be heightened by adopting the Scalable Video Coding (SVC) as the Video codec for adaptive low delay streaming over HTTP. For the latter small playout-buffers are considered hence allowing low media access latency in the delivery chain and it is shown that adaptation is more effectively performed with the SVC based approach.
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rtp payload format for Scalable Video Coding
RFC, 2011Co-Authors: Alex Eleftheriadis, Thomas Schierl, Stephan Wenger, Yekui WangAbstract:This memo describes an RTP payload format for Scalable Video Coding (SVC) as defined in_Annex G of ITU-T Recommendation H.264, which is technically identical to Amendment 3 of ISO/IEC International Standard 14496-10. The RTP payload format allows for packetization of one or more Network Abstraction Layer (NAL) units in each RTP packet payload, as well as fragmentation of a NAL unit in multiple RTP packets. Furthermore, it supports transmission of an SVC stream over a single as well as multiple RTP sessions. For single-session streams the packetization modes of RFC 3984 are used, whereas for multi-session streams four different packetization modes are defined in this memo. The multi-session packetization modes extend the packetization modes defined in RFC 3984. The payload format is backwards compatible to RFC 3984, and has wide applicability in Videoconferencing, Internet Video streaming, and high bit-rate entertainment-quality Video, among others.
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idash improved dynamic adaptive streaming over http using Scalable Video Coding
ACM SIGMM Conference on Multimedia Systems, 2011Co-Authors: Yago Sanchez De La Fuente, Cornelius Hellge, Thomas Schierl, Thomas Wiegand, Dohy Hong, Danny De Vleeschauwer, Werner Van Leekwijck, Yannick Le LouedecAbstract:HTTP-based delivery for Video on Demand (VoD) has been gaining popularity within recent years. Progressive Download over HTTP, typically used in VoD, takes advantage of the widely deployed network caches to relieve Video servers from sending the same content to a high number of users in the same access network. However, due to a sharp increase in the requests at peak hours or due to cross-traffic within the network, congestion may arise in the cache feeder link or access link respectively. Since the connection characteristics may vary over the time, with Dynamic Adaptive Streaming over HTTP (DASH), a technique that has been recently proposed, Video clients may dynamically adapt the requested Video quality for ongoing Video flows, to match their current download rate as good as possible. In this work we show the benefits of using the Scalable Video Coding (SVC) for such a DASH environment.
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hd Video broadcasting using Scalable Video Coding combined with dvb s2 variable Coding and modulation
2010 5th Advanced Satellite Multimedia Systems Conference and the 11th Signal Processing for Space Communications Workshop, 2010Co-Authors: S Mirta, Pablo Iñigo, C Leguern, L. Guarnieri, Thomas Schierl, Thomas Wiegand, Jérôme TroncAbstract:The Scalable Video Coding (SVC) is an extension of H.264/AVC offering temporal, spatial, and quality scalability. Compared to the non-Scalable profile of H.264/AVC, SVC allows layered transmission of Video data. Variable Coding and Modulation (VCM) based DVB-S2 Video Broadcasting Systems enables effective selection of modulation modes and FEC coderates offering differentiated error protection. In this work the usage of SVC with the DVB-S2 VCM mode has been investigated.
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Scalable Video Coding over RTP and MPEG-2 transport stream in broadcast and IPTV channels
IEEE Wireless Communications, 2009Co-Authors: Thomas Schierl, Karsten Grüneberg, Thomas WiegandAbstract:The ITU-T and ISO/IEC standard for Scalable Video Coding was recently finalized. SVC allows for scalability of the Video bitstream in the temporal, spatial, or fidelity domain, or any combination of those. Video scalability may be used for different purposes, such as saving bandwidth when the same media content is required to be sent simultaneously on a broadcast medium at different resolutions to support heterogeneous devices, when unequal error protection shall be used for coverage extension in wireless broadcasting, as well as for rate shaping in IPTV environments. Furthermore, it may also be useful in layered multicast transmission over the Internet or peer-to-peer networks, or in any transmission scenario where prioritized transmission for network flows is meaningful. In order to make usage of SVC in the aforementioned use cases, standards for defining the transport format and procedure are required. Therefore, we give a detailed overview of the recently finished SVC standards on transport over IP/RTP and the MPEG-2 transport stream. Both standards are important for IPTV and Video on demand, where the first is important for SVC transport over mobile broadcast/multicast channels, and the latter is also important for SVC transport over traditional digital broadcast channels.
C.-c.j. Kuo - One of the best experts on this subject based on the ideXlab platform.
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novel rate quantization model based rate control with adaptive initialization for spatial Scalable Video Coding
IEEE Transactions on Industrial Electronics, 2012Co-Authors: Hanli Wang, Sam Kwong, C.-c.j. KuoAbstract:A novel spatial-layer rate-control algorithm is proposed for Scalable Video Coding (SVC). First, by analyzing the relationship among the best initial quantization parameter (Qp), channel bandwidth, and the initial frames' complexity measure, an adaptive Qp-initialization model is introduced to determine the starting Qp value for not only the base layer but also the spatial enhancement layers of SVC. Then, a two-stage Qp-determination scheme is designed to improve the rate-control performance for the spatial-layer SVC with an efficient frame-complexity prediction method and an adaptive model-parameter update technique employed. Experimental results demonstrate the effectiveness of the proposed Qp -initialization scheme and the two-stage Qp-determination algorithm. By comparison with two other benchmark rate-control algorithms, the proposed rate-control algorithm is able to control constrained bit rates accurately with better rate-distortion performance.
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Rate Control Optimization for Temporal-Layer Scalable Video Coding
IEEE Transactions on Circuits and Systems for Video Technology, 2011Co-Authors: Hanli Wang, Sam Kwong, Tiesong Zhao, C.-c.j. KuoAbstract:A novel frame-level rate control (RC) algorithm is presented in this paper for temporal scalability of Scalable Video Coding. First, by introducing a linear quality dependency model, the quality dependency between a Coding frame and its references is investigated for the hierarchical B-picture prediction structure. Second, linear rate-quantization (R-Q) and distortion-quantization (D-Q) models are introduced based on different characteristics of temporal layers. Third, according to the proposed quality dependency model and R-Q and D-Q models for each temporal layer, adaptive weighting factors are derived to allocate bits efficiently among temporal layers. Experimental results on not only traditional quarter common intermediate format/common intermediate format but also standard definition and high definition sequences demonstrate that the proposed algorithm achieves excellent Coding efficiency as compared to other benchmark RC schemes.
Hanli Wang - One of the best experts on this subject based on the ideXlab platform.
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Rate Control Optimization for Temporal-Layer Scalable Video Coding
2015Co-Authors: Hanli Wang, Sam Kwong, Tiesong Zhao, Senior Member, Student Member, -c. Jay C. KuoAbstract:Abstract—A novel frame-level rate control (RC) algorithm is presented in this paper for temporal scalability of Scalable Video Coding. First, by introducing a linear quality dependency model, the quality dependency between a Coding frame and its references is investigated for the hierarchical B-picture prediction structure. Second, linear rate-quantization (R-Q) and distortion-quantization (D-Q) models are introduced based on different characteristics of temporal layers. Third, according to the pro-posed quality dependency model and R-Q and D-Q models for each temporal layer, adaptive weighting factors are derived to allocate bits efficiently among temporal layers. Experimental results on not only traditional quarter common intermediate format/common intermediate format but also standard definition and high definition sequences demonstrate that the proposed algorithm achieves excellent Coding efficiency as compared to other benchmark RC schemes. Index Terms—Hierarchical B-picture prediction, rate control, rate-distortion model, Scalable Video Coding, temporal scalability. I
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novel rate quantization model based rate control with adaptive initialization for spatial Scalable Video Coding
IEEE Transactions on Industrial Electronics, 2012Co-Authors: Hanli Wang, Sam Kwong, C.-c.j. KuoAbstract:A novel spatial-layer rate-control algorithm is proposed for Scalable Video Coding (SVC). First, by analyzing the relationship among the best initial quantization parameter (Qp), channel bandwidth, and the initial frames' complexity measure, an adaptive Qp-initialization model is introduced to determine the starting Qp value for not only the base layer but also the spatial enhancement layers of SVC. Then, a two-stage Qp-determination scheme is designed to improve the rate-control performance for the spatial-layer SVC with an efficient frame-complexity prediction method and an adaptive model-parameter update technique employed. Experimental results demonstrate the effectiveness of the proposed Qp -initialization scheme and the two-stage Qp-determination algorithm. By comparison with two other benchmark rate-control algorithms, the proposed rate-control algorithm is able to control constrained bit rates accurately with better rate-distortion performance.
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Rate Control Optimization for Temporal-Layer Scalable Video Coding
IEEE Transactions on Circuits and Systems for Video Technology, 2011Co-Authors: Hanli Wang, Sam Kwong, Tiesong Zhao, C.-c.j. KuoAbstract:A novel frame-level rate control (RC) algorithm is presented in this paper for temporal scalability of Scalable Video Coding. First, by introducing a linear quality dependency model, the quality dependency between a Coding frame and its references is investigated for the hierarchical B-picture prediction structure. Second, linear rate-quantization (R-Q) and distortion-quantization (D-Q) models are introduced based on different characteristics of temporal layers. Third, according to the proposed quality dependency model and R-Q and D-Q models for each temporal layer, adaptive weighting factors are derived to allocate bits efficiently among temporal layers. Experimental results on not only traditional quarter common intermediate format/common intermediate format but also standard definition and high definition sequences demonstrate that the proposed algorithm achieves excellent Coding efficiency as compared to other benchmark RC schemes.
Ya-qin Zhang - One of the best experts on this subject based on the ideXlab platform.
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A framework for efficient progressive fine granularity Scalable Video Coding
IEEE Transactions on Circuits and Systems for Video Technology, 2001Co-Authors: Ya-qin ZhangAbstract:A basic framework for efficient Scalable Video Coding, namely progressive fine granularity Scalable (PFGS) Video Coding is proposed. Similar to the fine granularity Scalable (PGS) Video Coding in MPEG-4, the PFGS framework has all the features of FGS, such as fine granularity bit-rate scalability, channel adaptation, and error recovery. On the other hand, different from the PGS Coding, the PFGS framework uses multiple layers of references with increasing quality to make motion prediction more accurate for improved Video-Coding efficiency. However, using multiple layers of references with different quality also introduces several issues. First, extra frame buffers are needed for storing the multiple reconstructed reference layers. This would increase the memory cost and computational complexity of the PFGS scheme. Based on the basic framework, a simplified and efficient PFGS framework is further proposed. The simplified PPGS framework needs only one extra frame buffer with almost the same Coding efficiency as in the original framework. Second, there might be undesirable increase and fluctuation of the coefficients to be coded when switching from a low-quality reference to a high-quality one, which could partially offset the advantage of using a high-quality reference. A further improved PFGS scheme can eliminate the fluctuation of enhancement-layer coefficients when switching references by always using only one high-quality prediction reference for all enhancement layers. Experimental results show that the PFGS framework can improve the Coding efficiency up to more than 1 dB over the FGS scheme in terms of average PSNR, yet still keeps all the original properties, such as fine granularity, bandwidth adaptation, and error recovery. A simple simulation of transmitting the PFGS Video over a wireless channel further confirms the error robustness of the PFGS scheme, although the advantages of PFGS have not been fully exploited.
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Scalable Video Coding and transport over broadband wireless networks
Proceedings of the IEEE, 2001Co-Authors: Y T Hou, Ya-qin ZhangAbstract:With the emergence of broadband wireless networks and increasing demand of multimedia information on the Internet, wireless multimedia services are foreseen to become widely deployed in the next decade. Real-time Video transmission typically has requirements on quality of service (QoS). However, wireless channels are unreliable and the channel bandwidth varies with time, which may cause severe degradation in Video quality. In addition, for Video multicast, the heterogeneity of receivers makes it difficult to achieve efficiency and flexibility. To address these issues, three techniques, namely, Scalable Video Coding, network-aware adaptation of end systems, and adaptive QoS support from networks, have been developed. This paper unifies the three techniques and presents an adaptive framework, which specifically addresses Video transport over wireless networks. The adaptive framework consists of three basic components: (1) Scalable Video representations; (2) network-aware end systems; and (3) adaptive services. Under this framework, as wireless channel conditions change, mobile terminals and network elements can scale the Video streams and transport the scaled Video streams to receivers with a smooth change of perceptual quality. The key advantages of the adaptive framework are: (1) perceptual quality is changed gracefully during periods of QoS fluctuations and hand-offs; and (2) the resources are shared in a fair manner.
