Academic literature on the topic 'SVC - Scalable Video Coding'

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Journal articles on the topic "SVC - Scalable Video Coding"

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Shang, Yueyun, Dengpan Ye, Zhuo Wei, and Yajuan Xie. "GPU-Based MPEG-2 to Secure Scalable Video Transcoding." International Journal of Digital Crime and Forensics 6, no. 2 (2014): 52–69. http://dx.doi.org/10.4018/ijdcf.2014040104.

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Most of the high definition video content are still produced in a single-layer MPEG-2 format. Multiple-layers Scalable Video Coding (SVC) offers a minor penalty in rate-distortion efficiency when compared to single-layer coding MPEG-2. A scaled version of the original SVC bitstream can easily be extracted by dropping layers from the bitstream. This paper proposes a parallel transcoder from MPEG-2 to SVC video with Graphics Processing Unit (GPU), named PTSVC. The objective of the transcoder is to migrate MPEG-2 format video to SVC format video such that clients with different network bandwidth and terminal devices can seamlessly access video content. Meanwhile, the transcoded SVC videos are encrypted such that only authorized users can access corresponding SVC layers. Using various scalabilities SVC test sequences, experimental results on TM5 and JSVM indicate that PTSVC is a higher efficient transcoding system compared with previous systems and only causes little quality loss.
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Oliveira, Francisco, Eduardo Tavares, Erica Sousa, and Bruno Nogueira. "Video Conferencing Evaluation Considering Scalable Video Coding and SDN Network." Revista de Informática Teórica e Aplicada 25, no. 2 (2018): 38. http://dx.doi.org/10.22456/2175-2745.79310.

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Video conferencing is very common nowadays, and it may contemplate heterogenous devices (e.g., smartphones, notebooks, game consoles) and networks in the same session. Developing video conferencing systems for this myriad of devices with different capabilities requires special attention from system designer. Scalable video coding (SVC) is a prominent option to mitigate this heterogeneity issue, but traditional Internet protocol (IP) networks may not fully benefit from such a technology. In contrast, software-defined networking (SDN) may allow better utilization of SVC and improvements on video conferencing components. This paper evaluates the performance of video conferencing systems adopting SVC, SDN and ordinary IP networks, taking into account throughput, delay and peak signal-to-noise ratio (PSNR) as the metrics of interest. The experiments are based on Mininet framework and distinct network infrastructures are also considered. Results indicate SDN with SVC may deliver better video quality with reduced delay and increased throughput.
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Alhaisoni, Majed, Mohammed Ghanbari, and Antonio Liotta. "Scalable P2P Video Streaming." International Journal of Business Data Communications and Networking 6, no. 3 (2010): 49–65. http://dx.doi.org/10.4018/jbdcn.2010070103.

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P2P networks are a technology able to deliver real time and video-on-demand services over IP networks. Layered video coding techniques are being introduced due to their ability to deliver streams at different scales (temporal, spatial and SNR) that solve the heterogeneity problem. This eases transmission in the case of limited bandwidth, as the devices can pick and decode the minimum bit rate base layer. Existing work examines layered video in client-server scenarios. In contrast, this paper analyzes scalable coding H.264/SVC over P2P networks based on an SNR-temporal Codec. Due to the interdependency between the different SVC layers, issues of reliability and quality of experience arise unless proper measures are taken to protect the base layer. The authors explore the effectiveness of a combination of P2P strategies, for example, hybrid P2P architecture, P2P locality, and P2P redundancy, to assess the viability and benefits of scalable video coding over P2P. The resulting performance is compared with a state-of-the-art P2P TV platform.
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Khairy, Mayada, Alaa Hamdy, Amr Elsayed, and Hesham Farouk. "Efficient Enhancement for Spatial Scalable Video Coding Transmission." Mathematical Problems in Engineering 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/8239491.

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Scalable Video Coding (SVC) is an international standard technique for video compression. It is an extension of H.264 Advanced Video Coding (AVC). In the encoding of video streams by SVC, it is suitable to employ the macroblock (MB) mode because it affords superior coding efficiency. However, the exhaustive mode decision technique that is usually used for SVC increases the computational complexity, resulting in a longer encoding time (ET). Many other algorithms were proposed to solve this problem with imperfection of increasing transmission time (TT) across the network. To minimize the ET and TT, this paper introduces four efficient algorithms based on spatial scalability. The algorithms utilize the mode-distribution correlation between the base layer (BL) and enhancement layers (ELs) and interpolation between the EL frames. The proposed algorithms are of two categories. Those of the first category are based on interlayer residual SVC spatial scalability. They employ two methods, namely, interlayer interpolation (ILIP) and the interlayer base mode (ILBM) method, and enable ET and TT savings of up to 69.3% and 83.6%, respectively. The algorithms of the second category are based on full-search SVC spatial scalability. They utilize two methods, namely, full interpolation (FIP) and the full-base mode (FBM) method, and enable ET and TT savings of up to 55.3% and 76.6%, respectively.
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de Asís López-Fuentes, Francisco. "P2P video streaming combining SVC and MDC." International Journal of Applied Mathematics and Computer Science 21, no. 2 (2011): 295–306. http://dx.doi.org/10.2478/v10006-011-0022-1.

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P2P video streaming combining SVC and MDC In this paper we propose and evaluate a combined SVC-MDC (Scalable Video Coding & Multiple Description Video Coding) video coding scheme for Peer-to-Peer (P2P) video multicast. The proposed scheme is based on a full cooperation established between the peer sites, which contribute their upload capacity during video distribution. The source site splits the video content into many small blocks and assigns each block to a single peer for redistribution. Our solution is implemented in a fully meshed P2P network in which peers are connected to each other via UDP (User Datagram Protocol) links. The video content is encoded by using the Scalable Video Coding (SVC) method. We present a flow control mechanism that allows us to optimize dynamically the overall throughput and to automatically adjust video quality for each peer. Thus, peers with different upload capacity receive different video quality. We also combine the SVC method with Multiple Description Coding (MDC) to alleviate the packet loss problem. We implemented and tested this approach in the PlanetLab infrastructure. The obtained results show that our solution achieves good performance and remarkable video quality in the presence of packet loss.
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Seeling, Patrick, and Martin Reisslein. "Video Traffic Characteristics of Modern Encoding Standards: H.264/AVC with SVC and MVC Extensions and H.265/HEVC." Scientific World Journal 2014 (2014): 1–16. http://dx.doi.org/10.1155/2014/189481.

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Video encoding for multimedia services over communication networks has significantly advanced in recent years with the development of the highly efficient and flexible H.264/AVC video coding standard and its SVC extension. The emerging H.265/HEVC video coding standard as well as 3D video coding further advance video coding for multimedia communications. This paper first gives an overview of these new video coding standards and then examines their implications for multimedia communications by studying the traffic characteristics of long videos encoded with the new coding standards. We review video coding advances from MPEG-2 and MPEG-4 Part 2 to H.264/AVC and its SVC and MVC extensions as well as H.265/HEVC. For single-layer (nonscalable) video, we compare H.265/HEVC and H.264/AVC in terms of video traffic and statistical multiplexing characteristics. Our study is the first to examine the H.265/HEVC traffic variability for long videos. We also illustrate the video traffic characteristics and statistical multiplexing of scalable video encoded with the SVC extension of H.264/AVC as well as 3D video encoded with the MVC extension of H.264/AVC.
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Cui, Yansong, Weizheng Ren, and Zhongliang Deng. "Fast Mode Decision for HD Scalable Video Coding via Statistical Content Analysis." International Journal of Pattern Recognition and Artificial Intelligence 32, no. 08 (2018): 1855011. http://dx.doi.org/10.1142/s021800141855011x.

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Scalable video coding (SVC) can provide different bitrate, resolution, or quality formats of the same video through the one-time encoding process. However, SVC also increases encoding complexity significantly, making real-time implementations difficult especially when applied to high definition videos. In this work, we proposed to utilize a fast mode decision algorithm to speed up the SVC encoder. A simple model of the relationship of the video complexity is proposed, the rate-distortion (RD) cost and the statistical mode distribution of the enhancement layer (EL). The proposed mode decision algorithm evaluates the complexity of the video content, then sets the rate distortion RD cost thresholds for inter coding modes. The method also optimizes the process INTRA_BL for I slices. We demonstrate the method using four different resolutions (1080p, 720p, VGA and QVGA), four temporal layers, and two quality layers. We find that the proposed algorithm can reduce the computational complexity significantly while maintaining or even improving encoder efficiency.
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Parakh, Shreyans, and Aditya K. Jagannatham. "Optimal Resource Allocation and VCG Auction-Based Pricing for H.264 Scalable Video Quality Maximization in 4G Wireless Systems." Advances in Multimedia 2012 (2012): 1–13. http://dx.doi.org/10.1155/2012/567217.

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We present novel schemes for optimal OFDMA bitrate allocation towards video quality maximization in H.264 scalable video coding (SVC)-based 4G wireless systems. We use the rate and quality models for video characterization of the SVC extension of the H.264/AVC and develop the framework for optimal scalable video transmission. Subsequently, we derive the closed form solution of the optimal H.264 scalable video quantization parameter for sum video quality maximization in unicast and multicast 4G WiMAX adaptive modulation and coding (AMC) scenarios. We also formulate a Vickrey-Clarke-Groves (VCG) auction-based time-frequency (TF) resource pricing scheme for dynamic bitrate allocation and simultaneous prevention of video quality degradation by malicious users for H.264-based scalable video transmission. Simulation results demonstrate that application of the proposed optimal 4G OFDMA schemes for unicast/multicast video quality maximization yield significantly superior performance in comparison to fixed rate video agnostic allocation.
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Wang, Li, and Xiaokai Wang. "A Novel Hybrid Optimization Algorithm for Scalable Video Coding in an SDN." Mathematical Problems in Engineering 2020 (October 5, 2020): 1–8. http://dx.doi.org/10.1155/2020/3694642.

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Scalable Video Coding (SVC) is a powerful solution to video application over heterogeneous networks and diversified end users. In the recent years, works mostly concentrate on transported layers or path for a single layer in the Software-Defined Network (SDN). This paper proposes the Novel Hybrid Optimization Algorithm for Scalable Video Coding (NHO-SVC) based on Genetic Algorithm to select the layer and path simultaneously. The algorithm uses the 0/1 knapsack programming model to set up the model, predicts the network states by the Autoregressive Integrated Moving Average Model (ARIMA), and then, makes decision based on Genetic Algorithm.
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Lee, Dongyul, and Chaewoo Lee. "Integer-Linear-Programing Optimization in Scalable Video Multicast with Adaptive Modulation and Coding in Wireless Networks." Scientific World Journal 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/769241.

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The advancement in wideband wireless network supports real time services such as IPTV and live video streaming. However, because of the sharing nature of the wireless medium, efficient resource allocation has been studied to achieve a high level of acceptability and proliferation of wireless multimedia. Scalable video coding (SVC) with adaptive modulation and coding (AMC) provides an excellent solution for wireless video streaming. By assigning different modulation and coding schemes (MCSs) to video layers, SVC can provide good video quality to users in good channel conditions and also basic video quality to users in bad channel conditions. For optimal resource allocation, a key issue in applying SVC in the wireless multicast service is how to assign MCSs and the time resources to each SVC layer in the heterogeneous channel condition. We formulate this problem with integer linear programming (ILP) and provide numerical results to show the performance under 802.16 m environment. The result shows that our methodology enhances the overall system throughput compared to an existing algorithm.
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Dissertations / Theses on the topic "SVC - Scalable Video Coding"

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Naghdinezhad, Amir. "Error resilient methods in scalable video coding (SVC)." Thesis, McGill University, 2014. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=121379.

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With the rapid development of multimedia technology, video transmission over unreliable channels like Internet and wireless networks, is widely used. Channel errors can result in a mismatch between the encoder and the decoder, and because of the predictive structures used in video coding, the errors will propagate both temporally and spatially. Consequently, the quality of the received video at the decoder may degrade significantly. In order to improve the quality of the received video, several error resilient methods have been proposed. Furthermore, in addition to compression efficiency and error robustness, flexibility has become a new multimedia requirement in advanced multimedia applications. In these applications such as video conferencing and video streaming, compressed video is transmitted over heterogeneous networks with a broad range of clients with different requirements and capabilities in terms of power, bandwidth and display resolution, simultaneously accessing the same coded video. The scalable video coding concept was proposed to address the flexibility issue by generating a single bit stream that meets the requirement of these users. This dissertation is concerned with novel contributions in the area of error resilience for scalable extension of H.264/AVC. The first part of the dissertation focuses on modifying the conventional prediction structure in order to reduce the propagation of error to succeeding frames. We propose two new prediction structures that can be used in temporal and spatial scalability of SVC. The proposed techniques improve the previous methods by efficiently exploiting the Intra macroblocks (MBs) in the reference frames and exponential decay of error propagation caused by the introduced leaky prediction.In order to satisfy both coding efficiency and error resilience in error prone channels, we combine error resilience mode decision technique with the proposed prediction structures. The end-to-end distortion of the proposed prediction structure is estimated and used instead of the source coding distortion in the rate distortion optimization. Furthermore, accurately analysing the utility of each video packet in unequal error protection techniques is a critical and usually very complex process. We present an accurate low complexity utility estimation technique. This technique estimates the utility of each network abstraction layer (NAL) by considering the error propagation to future frames. Also, a low delay version of this technique, which can be used in delay constrained applications, is presented.<br>La révolution technologique de l'information et des communications a donné lieu à un élargissement du marché des applications multimédias. Sur des canaux non fiables comme Internet et les réseaux sans fil, la présence des erreurs de transmission est considérée comme l'une des principales causes de la dégradation de la qualité vidéo au niveau du récepteur. Et en raison des structures de prédiction utilisées dans le codage vidéo, ces erreurs ont tendance à se propager à la fois temporellement et spatialement. Par conséquent, la qualité de la vidéo reçue risque de se dégrader d'une façon considérable. Afin de minimiser ce risque, des outils qui permettent de renforcer la robustesse contre les erreurs ont été proposés. En plus de la résistance aux erreurs, la flexibilité est devenue une nouvelle exigence dans des applications multimédias comme la vidéo conférence et la vidéo en streaming. En effet, la vidéo compressée est transmise sur des réseaux hétérogènes avec un large éventail de clients ayant des besoins différents et des capacités différentes en termes de puissance, de résolution vidéo et de bande passante, d'où la nécessite d'une solution pour l'accès simultané à la même vidéo codée. La scalabilité est venue répondre aux exigences de tous ces utilisateurs.Cette thèse, élaborée dans le cadre du développement de la version scalable de la norme H.264/AVC (aussi connue sous le nom de SVC), présente des idées innovantes dans le domaine de la résilience aux erreurs. La première partie de la thèse expose deux nouvelles structures de prédiction qui aident à renforcer la résistance aux erreurs. Les structures proposées peuvent être utilisées dans la scalabilité temporelle et spatiale et visent essentiellement à améliorer les méthodes antérieures en exploitant de manière plus efficace les MBs "Intra" dans les images de référence et en profitant de la prédiction "Leaky" qui permet de réduire de façon exponentielle la propagation des erreurs de transmission.Afin de satisfaire à la fois l'efficacité du codage et la résilience aux erreurs, nous avons combiné les techniques proposées avec les modules de décision. En plus, une estimation de la distorsion de bout en bout a été utilisée dans le calcul du coût des différents modes. En outre, analyser avec précision l'importance de chaque paquet de données vidéo dans de telles structures est un processus critique et généralement très complexe. Nous avons proposé une méthode simple et fiable pour cette estimation. Cette méthode consiste à évaluer l'importance de chaque couche d'abstraction réseau (NAL) en considérant la propagation des erreurs dans les images futures. En plus, une version avec un faible délai de réponse a été présentée.
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Andelin, Travis L. "Quality Selection for Dynamic Adaptive Streaming over HTTP with Scalable Video Coding." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2683.

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Video streaming on the Internet is increasingly using Dynamic Adaptive Streaming over HTTP (DASH), in which the video is converted into various quality levels and divided into two-second segments. A client can then adjust its video quality over time by choosing to download the appropriate quality level for a given segment using standard HTTP. Scalable Video Coding (SVC) is a promising enhancement to the DASH protocol. With SVC, segments are divided into subset bitstream blocks. At playback, blocks received for a given segment are combined to additively increase the current quality. Unlike traditional DASH, which downloads segments serially, this encoding creates a large space of possible ways to download a video; for example, if given a variable download rate, when should the client try to maximize the current segment's video quality, and when should it instead play it safe and ensure a minimum level of quality for future segments? In this work, we examine the impact of SVC on the client's quality selection policy, with the goal of maximizing a performance metric quantifying user satisfaction. We use acombination of analysis, dynamic programming, and simulation to show that, in many cases, a client should use a diagonal quality selection policy, balancing both of the aforementioned concerns, and that the slope of the best policy flattens out as the variation in download rateincreases.
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Radhakrishna, Rakesh. "Cross Layer Design for Video Streaming over 4G Networks Using SVC." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/22657.

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Fourth Generation (4G) cellular technology Third Generation Partnership Project (3GPP) Long Term Evolution (LTE) offers high data rate capabilities to mobile users; and, operators are trying to deliver a true mobile broadband experience over LTE networks. Mobile TV and Video on Demand (VoD) are expected to be the main revenue generators in the near future [36] and efficient video streaming over wireless is the key to enabling this. 3GPP recommends the use of H.264 baseline profiles for all video based services in Third Generation (3G) Universal Mobile Telecommunication System (UMTS) networks. However, LTE networks need to support mobile devices with different display resolution requirements like small resolution mobile phones and high resolution laptops. Scalable Video Coding (SVC) is required to achieve this goal. Feasibility study of SVC for LTE is one of the main agenda of 3GPP Release10. SVC enhances H.264 with a set of new profiles and encoding tools that may be used to produce scalable bit streams. Efficient adaptation methods for SVC video transmission over LTE networks are proposed in this thesis. Advantages of SVC over H.264 are analyzed using real time use cases of mobile video streaming. Further, we study the cross layer adaptation and scheduling schemes for delivering SVC video streams most efficiently to the users in LTE networks in unicast and multicast transmissions. We propose SVC based video streaming scheme for unicast and multicast transmissions in the downlink direction, with dynamic adaptations and a scheduling scheme based on channel quality information from users. Simulation results indicate improved video quality for more number of users in the coverage area and efficient spectrum usage with the proposed methods.
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Johansson, Gustaf. "Scalable video coding using the Discrete Wavelet Transform : Skalbar videokodning med användning av den diskreta wavelettransformen." Thesis, Linköping University, Information Coding, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-54637.

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<p>A method for constructing a highly scalable bit stream for video coding is presented in detail and implemented in a demo application with a GUI in the Windows Vista operating system.</p><p>The video codec uses the Discrete Wavelet Transform in both spatial and temporal directions together with a zerotree quantizer to achieve a highly scalable bit stream in the senses of quality, spatial resolution and frame rate.</p><br><p>I detta arbete presenteras en metod för att skapa en mycket skalbar videoström. Metoden implementeras sedan i sin helhet i programspråken C och C++ med ett grafiskt användargränssnitt på operativsystemet Windows Vista.</p><p>I metoden används den diskreta wavelettransformen i såväl de spatiella dimensionerna som tidsdimensionen tillsammans med en nollträdskvantiserare för att åstakomma en skalbar videoström i avseendena bildkvalitet, skärmupplösning och antal bildrutor per sekund.</p>
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Biatek, Thibaud. "Efficient rate control strategies for scalable video coding." Thesis, Rennes, INSA, 2016. http://www.theses.fr/2016ISAR0007/document.

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High Efficiency Video Coding (HEVC/H.265) est la dernière norme de compression vidéo, finalisée en Janvier 20 13. Son extension scalable, SHVC, a été publiée en Octobre 2014 et supporte la scalabilité spatiale, en gamut de couleur (CGS) et même en norme de compression (AVC vers HEVC). SHVC peut être utilisée pour l'introduction de nouveaux services, notamment grâce à la rétrocompatibilité qu'elle apporte par la couche de base (BL) et qui est complétée par une couche d'amélioration (BL+EL) qui apporte les nouveaux services. De plus, SHVC apporte des gains en débit significatifs par rapport à l'encodage dit simulcast (l'encodage HEVC séparés). SHVC est considérée par DVB pour accompagner l'introduction de services UHD et est déjà incluse dans la norme ATSC-3.0. Dans ce contexte, l'objectif de la thèse est la conception de stratégies de régulation de débit pour les codeurs HEVC/SHVC lors de l'introduction de nouveaux services UHD. Premièrement, nous avons étudié l'approche p-domaine qui modélise linéairement le nombre coefficient non-nuls dans les résidus transformés et quantifiés avec le débit, et qui permet de réaliser des régulations de débit peu complexes. Après validation du modèle, nous avons conçu un premier algorithme de contrôle de débit au niveau bloc en utilisant cette approche. Pour chaque bloc et son débit cible associé, notre méthode estime de façon précise le paramètre de quantification (QP) optimal à partir des blocs voisins, en limitant l'erreur de débit sous les 4%. Puis, nous avons proposé un modèle d'estimation déterministe du p-domaine qui évite l'utilisation de tables de correspondance et atteignant une précision d'estimation supérieure à90%. Deuxièmement, nous avons investigué l'impact du ratio de débit entre les couches d'un codeur SHVC sur ses performances de compression, pour la scalabilité spatiale, CGS et SOR vers HDR. En se basant sur les résultats de cette étude, nous avons élaborés un algorithme de régulation de débit adaptatif. La première approche proposée optimise les gains de codage en choisissant dynamiquement le ratio de débit optimal dans un intervalle prédéterminé et fixe lors de l'encodage. Cette première méthode a montré un gain de codage significatif de 4.25% par rapport à une approche à ratio fixe. Cette méthode a été ensuite améliorée en lui ajoutant des contraintes de qualité et de débit sur chaque couche, au lieu de considérer un in tervalle fixe. Ce second algorithme a été testé sur le cas de diffusion de programme HD/UHD ct de déploiement de se1vices UHDI-P1 vers UHD 1-P2 (cas d'usage DVB), où elle permet des gains de 7.51% ct 8.30% respectivement. Enfin, le multiplexage statistique de programmes scalable a été introduit et brièvement investigué. Nous avons proposé une première approche qui ajuste conjointement le débit global attribué à chaque programme ainsi que le ratio de débit, de façon à optimiser les performances de codage. De plus, la méthode proposée lisse les variations et l'homogénéité de la qualité parmi les programmes. Cette méthode a été appliquée à une base de données contenant des flux pré-encodés. La méthode permet dans ce cas une réduction du surcoût de la scalabilité de 11.01% à 7.65% comparé à l'encodage a débit et ratio fixe, tout en apportant une excellente précision et une variation de qualité limitée<br>High Efficiency Video Coding (HEVC/H.265) is the latest video coding standard, finalized in Janua1y 2013 as the successor of Advanced Video Coding (AVC/H.264). Its scalable extension, called SHVC was released in October 2014 and enables spatial, bitdepth, color-gamut (CGS) and even standard scalability. SHVC is a good candidate for introducing new services thanks to backward compatibility features with legacy HEVC receivers through the base-layer (BL) stream and next generation ones through the BL+EL (enhancement layer). In addition, SHVC saves substantial bitrate with respect to simulcast coding (independent coding of layers) and is also considered by DVB for UHD introduction and included in ATSC-3 .0. In this context, the work of this thesis aims at designing efficient rate-control strategies for HEVC and its scalable extension SHVC in the context of new UHD formats introduction. First, we have investigated the p-domain approach which consists in linking the number of non-zero transfonned and quantized residual coefficients with the bitrate, in a linear way, to achieve straightforward rate-control. After validating it in the context of HEVC and SHVC codings, we have developed an innovative Coding Tree Unit (CTU)-level rate-control algorithm using the p-domain. For each CTU and its associated targeted bit rate, our method accurately estimates the most appropriate quantization parameter (QP) based on neighborhood indicators, with a bit rate error below 4%. Then, we have proposed a deterministic way of estimating the p-domain model which avoids the implementation of look-up tables. The proposed method enables accurate model estimation over 90%. Second, we have explored the impact of the bitrate ratio between layers on the SHVC performance for the spatial, CGS and SDR-to-HDR scalability. Based on statistical observations, we have built an adaptive rate control algorithms (ARC). We have first proposed an ARC scheme which optimizes coding performance by selecting the optimal ratio into a fixed ratio inte1val, under a global bitrate instruction (BL+EL). This method is adaptive and considers the content and the type of scalability. This first approach enables a coding gain of 4.25% compared to fixed-ratio encoding. Then, this method has been enhanced with quality and bandwidth constraints in each layer instead of considering a fixed interval. This second method has been tested on hybrid delivery of HD/UHD services and backward compatible SHVC encoding of UHDI -PI /UHDI -P2 services (DVB use-case) where it enables significant coding gains of 7.51% and 8.30%, respectively. Finally, the statistical multiplexing of SHVC programs has been investigated. We have proposed a first approach which adjusts both the global bit rate to allocate in each program and the ratio between BL and EL to optimize the coding performance. In addition, the proposed method smooths the quality variations and enforces the quality homogeneity between programs. This method has been applied to a database containing pre-encoded bitstreams and enables an overhead reduction from 11.01% to 7.65% compared to constant bitrate encoding, while maintaining a good accuracy and an acceptable quality variations among programs
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Klaghstan, Merza. "Multimedia data dissemination in opportunistic systems." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEI125/document.

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Les réseaux opportunistes sont des réseaux mobiles qui se forment spontanément et de manière dynamique grâce à un ensemble d'utilisateurs itinérants dont le nombre et le déplacement ne sont pas prévisibles. En conséquence, la topologie et la densité de tels réseaux évoluent sans cesse. La diffusion de bout-en-bout d'informations, dans ce contexte, est incertaine du fait de la forte instabilité des liens réseaux point à point entre les utilisateurs. Les travaux qui en ont envisagé l'usage visent pour la plupart des applications impliquant l'envoi de message de petite taille. Cependant, la transmission de données volumineuses telles que les vidéos représente une alternative très pertinente aux réseaux d'infrastructure, en cas d'absence de réseau, de coût important ou pour éviter la censure d'un contenu. La diffusion des informations de grande taille en général et de vidéos en particulier dans des réseaux oppnets constitue un challenge important. En effet, permettre, dans un contexte réseau très incertain et instable, au destinataire d’une vidéo de prendre connaissance au plus vite du contenu de celle-ci, avec la meilleure qualité de lecture possible et en encombrant le moins possible le réseau reste un problème encore très largement ouvert. Dans cette thèse, nous proposons un nouveau mécanisme de diffusion de vidéos dans un réseau opportuniste de faible densité, visant à améliorer le temps d'acheminement de la vidéo tout en réduisant le délai de lecture à destination. La solution proposée se base sur le choix d'encoder la vidéo en utilisant l'encodage SVC, grâce auquel la vidéo se décline en un ensemble de couches interdépendantes (layers), chacune améliorant la précédente soit en terme de résolution, soit en terme de densité, soit en terme de perception visuelle. Notre solution se décline en trois contributions. La première consiste à proposer une adaptation du mécanisme de diffusion Spray-and-Wait, avec comme unités de diffusion, les couches produites par SVC. Les couches sont ainsi diffusées avec un niveau de redondance propre à chacune, adapté à leur degré d'importance dans la diffusion de la vidéo. Notre seconde contribution consiste à améliorer le mécanisme précédent en prenant en compte une granularité plus fine et adaptative en fonction de l'évolution de la topologie du réseau. Cette amélioration a la particularité de ne pas engendrer de coût de partitionnement, les couches vidéos dans l'encodage SVC étant naturellement déclinées en petites unités (NALU) à base desquelles l'unité de transfert sera calculée. Enfin, la troisième contribution de cette thèse consiste à proposer un mécanisme hybride de complétion des couches vidéos arrivées incomplètes à destination. Cette méthode se caractérise par le fait d'être initiée par le destinataire. Elle combine un protocole de demande des parties manquantes aux usagers proches dans le réseau et des techniques de complétion de vidéo à base d’opérations sur les frames constituant la vidéo<br>Opportunistic networks are human-centric mobile ad-hoc networks, in which neither the topology nor the participating nodes are known in advance. Routing is dynamically planned following the store-carry-and-forward paradigm, which takes advantage of people mobility. This widens the range of communication and supports indirect end-to-end data delivery. But due to individuals’ mobility, OppNets are characterized by frequent communication disruptions and uncertain data delivery. Hence, these networks are mostly used for exchanging small messages like disaster alarms or traffic notifications. Other scenarios that require the exchange of larger data are still challenging due to the characteristics of this kind of networks. However, there are still multimedia sharing scenarios where a user might need switching to an ad-hoc alternative. Examples are the cases of 1) absence of infrastructural networks in far rural areas, 2) high costs due limited data volumes or 3) undesirable censorship by third parties while exchanging sensitive content. Consequently, we target in this thesis a video dissemination scheme in OppNets. For the video delivery problem in the sparse opportunistic networks, we propose a solution that encloses three contributions. The first one is given by granulating the videos at the source node into smaller parts, and associating them with unequal redundancy degrees. This is technically based on using the Scalable Video Coding (SVC), which encodes a video into several layers of unequal importance for viewing the content at different quality levels. Layers are routed using the Spray-and-Wait routing protocol, with different redundancy factors for the different layers depending on their importance degree. In this context as well, a video viewing QoE metric is proposed, which takes the values of the perceived video quality, delivery delay and network overhead into consideration, and on a scalable basis. Second, we take advantage of the small units of the Network Abstraction Layer (NAL), which compose SVC layers. NAL units are packetized together under specific size constraints to optimize granularity. Packets sizes are tuned in an adaptive way, with regard to the dynamic network conditions. Each node is enabled to record a history of environmental information regarding the contacts and forwarding opportunities, and use this history to predict future opportunities and optimize the sizes accordingly. Lastly, the receiver node is pushed into action by reacting to missing data parts in a composite backward loss concealment mechanism. So, the receiver asks first for the missing data from other nodes in the network in the form of request-response. Then, since the transmission is concerned with video content, video frame loss error concealment techniques are also exploited at the receiver side. Consequently, we propose to combine the two techniques in the loss concealment mechanism, which is enabled then to react to missing data parts
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Husemann, Ronaldo. "Arquitetura de co-projeto hardware/software para implementação de um codificador de vídeo escalável padrão H.264/SVC." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2011. http://hdl.handle.net/10183/49305.

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Visando atuação flexível em redes heterogêneas, modernos sistemas multimídia podem adotar o conceito da codificação escalável, onde o fluxo de vídeo é composto por múltiplas camadas, cada qual complementando e aprimorando gradualmente as características de exibição, de forma adaptativa às capacidades de cada receptor. Atualmente, a especificação H.264/SVC representa o estado da arte da área, por sua eficiência de codificação aprimorada, porém demanda recursos computacionais extremamente elevados. Neste contexto, o presente trabalho apresenta uma arquitetura de projeto colaborativo de hardware e software, que explora as características dos diversos algoritmos internos do codificador H.264/SVC, buscando um adequado balanceamento entre as duas tecnologias (hardware e software) para a implementação prática de um codificador escalável de até 16 camadas em formato de 1920x1080 pixels. A partir de um modelo do código de referência H.264/SVC, refinado para reduzir tempos de codificação, foram definidas estratégias de particionamento de módulos e integração entre entidades de software e hardware, avaliando-se questões como dependência de dados e potencial de paralelismo dos algoritmos, assim como restrições práticas das interfaces de comunicação e acessos à memória. Em hardware foram implementados módulos de transformadas, quantização, filtro anti-blocagem e predição entre camadas, permanecendo em software funções de gerência do sistema, entropia, controle de taxa e interface com usuário. A solução completa obtida, integrando módulos em hardware, sintetizados em uma placa de desenvolvimento, com o software de referência refinado, comprova a validade da proposta, pelos significativos ganhos de desempenho registrados, mostrando-se como uma solução adequada para aplicações que exijam codificação escalável tempo real.<br>In order to support heterogeneous networks and distinct devices simultaneously, modern multimedia systems can adopt the scalability concept, when the video stream is composed by multiple layers, each one being responsible for gradually enhance the video exhibition quality, according to specific receiver capabilities. Currently the H.264/SVC specification can be considered the state-of-art in this area, by improving the coding efficiency, but, in the other hand, impacting in extremely high computational demands. Based on that, this work presents a hardware/software co-design architecture, which explores the characteristics of H.264/SVC internal algorithms, aiming the right balancing between both technologies (hardware and software) in order to generate a practical scalable encoder implementation, able to process up to 16 layers in 1920x1080 pixels format. Based in an H.264/SVC reference code model, which was refined in order to reduce global encoding time, the approaches for module partitioning and data integration between hardware and software were defined. The proposed methodology took into account characteristics like data dependency and inherent possibility of parallelism, as well practical restrictions like influence of communication interfaces and memory accesses. Particularly, the modules of transforms, quantization, deblocking and inter-layer prediction were implemented in hardware, while the functions of system management, entropy, rate control and user interface were kept in software. The whole solution, which was obtained integrating hardware modules, synthesized in a development board, with the refined H.264/SVC reference code, validates the proposal, by the significant performance gains registered, indicating it as an adequate solution for applications which require real-time video scalable coding.
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Daronco, Leonardo Crauss. "Avaliação subjetiva de qualidade aplicada à codificação de vídeo escalável." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2009. http://hdl.handle.net/10183/18246.

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Os constantes avanços nas áreas de transmissão e processamento de dados ao longo dos últimos anos permitiram a criação de diversas aplicações e serviços baseados em dados multimídia, como streaming de vídeo, videoconferências, aulas remotas e IPTV. Além disso, avanços nas demais áreas da computação e engenharias, possibilitaram a construção de uma enorme diversidade de dispositivos de acesso a esses serviços, desde computadores pessoais até celulares, para citar os mais utilizados atualmente. Muitas dessas aplicações e dispositivos estão amplamente difundidos hoje em dia, e, ao mesmo tempo em que a tecnologia avança, os usuários tornam-se mais exigentes, buscando sempre melhor qualidade nos serviços que utilizam. Devido à grande variedade de redes e dispositivos atuais, uma dificuldade existente é possibilitar o acesso universal a uma transmissão. Uma alternativa criada é utilizar transmissão de vídeo escalável com IP multicast e controlada por mecanismos para adaptabilidade e controle de congestionamento. O produto final dessas transmissões mulimídia são os próprios dados multimídia (vídeo e áudio, principalmente) que o usuário está recebendo, portanto a qualidade destes dados é fundamental para um bom desempenho do sistema e satisfação dos usuários. Este trabalho apresenta um estudo de avaliações subjetivas de qualidade aplicadas em sequências de vídeo codificadas através da extensão escalável do padrão H.264 (SVC). Foi executado um conjunto de testes para avaliar, principalmente, os efeitos da instabilidade da transmissão (variação do número de camadas de vídeo recebidas) e a influência dos três métodos de escalabilidade (espacial, temporal e de qualidade) na qualidade dos vídeos. As definições foram baseadas em um sistema de transmissão em camadas com utilização de protocolos para adaptabilidade e controle de congestionamento. Para execução das avaliações subjetivas foi feito o uso da metodologia ACR-HRR e recomendações das normas ITU-R Rec. BT.500 e ITU-T Rec. P.910. Os resultados mostram que, diferente do esperado, a instabilidade não provoca grandes alterações na qualidade subjetiva dos vídeos e que o método de escalabilidade temporal tende a apresentar qualidade bastante inferior aos outros métodos. As principais contribuições deste trabalho estão nos resultados obtidos nas avaliações, além da metodologia utilizada durante o desenvolvimento do trabalho (definição do plano de avaliação, uso das ferramentas como o JSVM, seleção do material de teste, execução das avaliações, entre outros), das aplicações desenvolvidas, da definição de alguns trabalhos futuros e de possíveis objetivos para avaliações de qualidade.<br>The constant advances in multimedia processing and transmission over the past years have enabled the creation of several applications and services based on multimedia data, such as video streaming, teleconference, remote classes and IPTV. Futhermore, a big variety of devices, that goes from personal computers to mobile phones, are now capable of receiving these transmissions and displaying the multimedia data. Most of these applications are widely adopted nowadays and, at the same time the technology advances, the user are becoming more demanding about the quality of the services they use. Given the diversity of devices and networks available today, one of the big challenges of these multimedia systems is to be able to adapt the transmission to the receivers' characteristics and conditions. A suitable solution to provide this adaptation is the integration of scalable video coding with layered transmission. As the final product in these multimedia systems are the multimedia data that is presented to the user, the quality of these data will define the performace of the system and the users' satisfaction. This paper presents a study of subjective quality of scalable video sequences, coded using the scalable extension of the H.264 standard (SVC). A group of experiments was performed to measure, primarily, the efeects that the transmission instability (variations in the number of video layers received) has in the video quality and the relationship between the three scalability methods (spatial, temporal and quality) in terms of subjective quality. The decisions taken to model the tests were based on layered transmission systems that use protocols for adaptability and congestion control. To run the subjective assessments we used the ACR-HRR methodology and recommendations given by ITU-R Rec. BT.500 and ITU-T Rec. P.910. The results show that the instability modelled does not causes significant alterations on the overall video subjective quality if compared to a stable video and that the temporal scalability usually produces videos with worse quality than the spatial and quality methods, the latter being the one with the better quality. The main contributions presented in this work are the results obtained in the subjective assessments. Moreover, are also considered as contributions the methodology used throughout the entire work (including the test plan definition, the use of tools as JSVM, the test material selection and the steps taken during the assessment), some applications that were developed, the definition of future works and the specification of some problems that can also be solved with subjective quality evaluations.
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9

Farajallah, Mousa. "Chaos-based crypto and joint crypto-compression systems for images and videos." Nantes, 2015. http://archive.bu.univ-nantes.fr/pollux/show.action?id=3c98f067-1a81-4690-9ac6-a515090c482e.

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La sécurité des données images et vidéos est importante pour beaucoup d’applications qui exigent du temps réel et un haut niveau de sécurité. Dans la première partie de ce travail, quatre cryptosystèmes basés chaos flexibles, efficaces et très robustes contre la cryptanalyse sont conçus et réalisés. Les deux premiers s’appuient sur le réseau SPN. La substitution est réalisée par une carte Skew tent (FSTM) modifiée pour surmonter différents problèmes : point fixe, restriction de la taille de la clé et limitation de la cartographie entre les textes d’origines et chiffrés. Le troisième cryptosystème est de structure nouvelle et également efficace. Il est basé sur une couche de diffusion binaire de pixels, suivi par une couche de permutation des bits. La permutation est réalisée par une nouvelle formulation efficace de la carte 2-D Cat. Le quatrième cryptosystème, est plus rapide que les autres avec un niveau de sécurité très élevé. Sa conception s’appuie sur une cryptanalyse partielle, que nous avons réalisée, de l’algorithme de Zhang. Dans la deuxième partie, deux crypto-compression basés chaos sélectifs et rapides sont utilisés pour sécuriser le flux HEVC et SHVC. Dans le premier crypto-compression, un nouvel algorithme pour définir les bits chiffrables dans le flux binaire du HEVC et du SHVC est proposé. La solution proposée chiffre un ensemble de paramètres SHVC sensibles au niveau du codeur entropique (CABAC), tout en préservant l’ensemble des fonctionnalités SHVC. Basé sur le concept de tuile, le deuxième crypto-compression proposé permet une protection de la vidéo au niveau d’une Région d’Intérêt (ROI) définie dans le standard HEVC<br>The security of image and video data is important for many applications which require in real-time a high security level. In the first part of this work, four chaos-based cryptosystems, flexible, efficient, and more robust against cryptanalysis, are designed and realized. The first two cryptosystems are based on the substitution-permutation network. The substitution is achieved by a proposed modified Finite Skew Tent Map (FSTM) to overcome various problems: fixed point, key space restriction, and limitation of mapping between plaintext and ciphertext. The third cryptosystem is a new and efficient structure. It is based on a binary diffusion layer of pixels, followed by a bit-permutation layer. The permutation is achieved by an efficient proposed formulation of the 2-D cat map. The fourth cryptosystem is faster than the others, having a very high security level. The confusion and the diffusion are performed in a single scan. Its design is based on a partial cryptanalysis that we performed on the Zhang algorithm. In the second part, two fast and secure selective chaos-based crypto-compressions are designed and realized to secure the High Efficiency Video Coding (HEVC) and its scalable version. In the first crypto-compression, a new algorithm is proposed to define the encryptable bits in the bit stream of the HEVC and the SHVC systems. The proposed solution encrypts a set of sensitive SHVC parameters at the entropy encoder (CABAC), while preserving all SHVC functionalities. Based on the tile concept, the second proposed crypto-compression provides protection of the ROI defined in the standard HEVC
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Demircin, Mehmet Umut. "Robust video streaming over time-varying wireless networks." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24790.

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Thesis (Ph.D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Yucel Altunbasak; Committee Member: Chuanyi Ji; Committee Member: Ghassan AlRegib; Committee Member: Ozlem Ergun; Committee Member: Russell M. Mersereau.
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Books on the topic "SVC - Scalable Video Coding"

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Tudor, P. N. Digital video compression: Standardisation of scalable coding schemes. British Broadcasting Corporation. Research and Development Department, 1994.

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Zhu, Chunrong. Scalable video coding for ATM networks. 1994.

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Schaar, Mihaela van der, and Hayder Radha. Scalable Video Coding - Principles, Algorithms and Standards (Advances in Image Communication). Academic Press, 2010.

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Winger, Lowell LeRoy. Scalable subband/wavelet coding and space-frequency block matching for digital video. 1998.

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Lagendijk, R. L. Layered, Scalable, and Mdc Coding (Synthesis Lectures on Image, Video, and Multimedia Processing). Morgan & Claypool Publishers, 2007.

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Book chapters on the topic "SVC - Scalable Video Coding"

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Kim, Chang-Ki, Gwang-Soo Hong, Byung-Gyu Kim, Jeong-Bae Lee, and Jeong-Ju Yoo. "Efficient Scalable Video Coding (SVC) Scheme for Multiple Channel Connections." In Lecture Notes in Electrical Engineering. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5857-5_47.

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Mrak, Marta, and Ebroul Izquierdo. "Scalable Video Coding Fundamentals." In Encyclopedia of Multimedia. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78414-4_199.

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Jillani, Rashad, and Hari Kalva. "Scalable Video Coding Standard." In Encyclopedia of Multimedia. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78414-4_63.

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Shi, Feng, Shaohui Liu, Hongxun Yao, Yan Liu, and Shengping Zhang. "Scalable and Credible Video Watermarking towards Scalable Video Coding." In Advances in Multimedia Information Processing - PCM 2010. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15702-8_64.

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Li, Zhengguo, Yengchai Soh, and Changyun Wen. "9. Switched Scalable Video Coding Systems." In Switched and Impulsive Systems. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11318866_9.

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Ramzan, Naeem, and Ebroul Izquierdo. "Scalable Video Coding and Its Applications." In Multimedia Analysis, Processing and Communications. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19551-8_20.

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Ransburg, Michael, Eduardo Martínez Graciá, Tiia Sutinen, Jordi Ortíz Murillo, Michael Sablatschan, and Hermann Hellwagner. "Scalable Video Coding Impact on Networks." In Mobile Multimedia Communications. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35155-6_45.

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Chakrabarti, Indrajit, Kota Naga Srinivasarao Batta, and Sumit Kumar Chatterjee. "Introduction to Scalable Image and Video Coding." In Motion Estimation for Video Coding. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14376-7_7.

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Wee, Susie J., Michael O. Polley, and William F. Schreiber. "A Generalized Framework For Scalable Video Coding." In Multimedia Communications and Video Coding. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-0403-6_59.

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Li, Chunhua, Xinxin Zhou, and Yuzhuo Zhong. "NAL Level Encryption for Scalable Video Coding." In Advances in Multimedia Information Processing - PCM 2008. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89796-5_51.

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Conference papers on the topic "SVC - Scalable Video Coding"

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Nagma, Rahimunisa, and TC Manjunath. "Traffic Aware Video Coding Using Scalable Video Coding (SVC)." In Second International Conference on Signal Processing, Image Processing and VLSI. Research Publishing Services, 2015. http://dx.doi.org/10.3850/978-981-09-6200-5_ip-49.

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Kexin Zhang, Long Chen, Zongze Wu, Shengli Xie, and Xi Chen. "Video broadcast system based on scalable video coding (SVC)." In 2010 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccsit.2010.5564574.

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Topiwala, Pankaj. "Introduction and overview of scalable video coding (SVC)." In SPIE Optics + Photonics, edited by Andrew G. Tescher. SPIE, 2006. http://dx.doi.org/10.1117/12.684402.

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Seung-Yerl Lee, Dong-Sun Kim, Je-Woo Kim, and Byung-Ho Choi. "An implementation of efficient SVC (scalable video coding) codec." In 2009 International SoC Design Conference (ISOCC 2009). IEEE, 2009. http://dx.doi.org/10.1109/socdc.2009.5423875.

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Naghdinezhad, Amir, and Fabrice Labeau. "Reference frame modification methods in scalable video coding (SVC)." In 2010 IEEE 12th International Workshop on Multimedia Signal Processing (MMSP). IEEE, 2010. http://dx.doi.org/10.1109/mmsp.2010.5662019.

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Zhu, Xiaoqing, Thomas Schierl, Thomas Wiegand, and Bernd Girod. "Video multicast over wireless mesh networks with scalable video coding (SVC)." In Electronic Imaging 2008, edited by William A. Pearlman, John W. Woods, and Ligang Lu. SPIE, 2008. http://dx.doi.org/10.1117/12.767956.

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Ghareeb, Majd, Adlen Ksentini, and Cesar Viho. "Scalable Video Coding (SVC) for multipath video streaming over Video Distribution Networks (VDN)." In 2011 International Conference on Information Networking (ICOIN). IEEE, 2011. http://dx.doi.org/10.1109/icoin.2011.5723179.

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Ghareeb, Majd, Adlen Ksentini, and Cesar Viho. "An adaptive QoE-based multipath video streaming algorithm for Scalable Video Coding (SVC)." In 2011 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2011. http://dx.doi.org/10.1109/iscc.2011.5983944.

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Ali, Walid S. I., and Rony Ferzli. "Efficient error frame loss recovery model for scalable video coding (SVC)." In IS&T/SPIE Electronic Imaging, edited by Jaakko T. Astola and Karen O. Egiazarian. SPIE, 2010. http://dx.doi.org/10.1117/12.855542.

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Bordes, Philippe, Pierre Andrivon, and Roshanak Zakizadeh. "Color Gamut Scalable Video Coding For SHVC." In 2013 Picture Coding Symposium (PCS). IEEE, 2013. http://dx.doi.org/10.1109/pcs.2013.6737743.

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Reports on the topic "SVC - Scalable Video Coding"

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Wenger, S., Y. K. Wang, T. Schierl, and A. Eleftheriadis. RTP Payload Format for Scalable Video Coding. RFC Editor, 2011. http://dx.doi.org/10.17487/rfc6190.

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