Relevant bibliographies by topics / Services de streaming vidéo

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Services de streaming vidéo'

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Published: 25 May 2024

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Journal articles on the topic "Services de streaming vidéo"

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Chicherov, Denis. "ANALYSIS OF METHODS TO INCREASE QOE PARAMETERS FOR VIDEO STREAMING SERVICES." SYNCHROINFO JOURNAL 10, no. 2 (2024): 28–36. http://dx.doi.org/10.36724/2664-066x-2024-10-2-28-36.

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Video streaming services represent a new generation of television (DTV), which have become an integral part of modern digital culture. With the development of Internet technologies and the spread of broadband access, video streaming has become a popular and convenient way to consume multimedia content. Unlike traditional television, video streaming services provide the user with the ability to choose content, watch it at a convenient time and on different devices, which leads to new challenges and opportunities in improving the quality of user experience (QoE). One of the key elements that determine the quality of a video streaming service is the operator's transmission equipment and platform servers. These components provide content streaming over the Internet and affect such parameters as download speed, data stream stability and playback quality. Efficient management and optimization of the transmission equipment and servers can reduce latency, improve video quality and provide smoother streaming of content to end users. This research project aims to analyze methods for improving QoE parameters for video streaming services to better understand how technologies, algorithms and strategies can be applied to optimise the user experience in this new type of digital content. By considering factors such as video quality, adaptive streaming, traffic management, and many others, we aim to highlight key aspects that contribute to improving QoE and providing a more satisfactory user experience in video streaming services.
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Chen, Liang, Yipeng Zhou, and Dah Ming Chiu. "Smart Streaming for Online Video Services." IEEE Transactions on Multimedia 17, no. 4 (April 2015): 485–97. http://dx.doi.org/10.1109/tmm.2015.2405343.

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Kouno, Shouji, and Haruhisa Hasegawa. "Traffic Management of Video Streaming Services." NTT Technical Review 11, no. 11 (November 2013): 23–28. http://dx.doi.org/10.53829/ntr201311fa3.

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Shin, Yongje, Hyunseok Choi, Youngju Nam, and Euisin Lee. "Video Packet Distribution Scheme for Multimedia Streaming Services in VANETs." Sensors 21, no. 21 (November 5, 2021): 7368. http://dx.doi.org/10.3390/s21217368.

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By leveraging the development of mobile communication technologies and due to the increased capabilities of mobile devices, mobile multimedia services have gained prominence for supporting high-quality video streaming services. In vehicular ad-hoc networks (VANETs), high-quality video streaming services are focused on providing safety and infotainment applications to vehicles on the roads. Video streaming data require elastic and continuous video packet distributions to vehicles to present interactive real-time views of meaningful scenarios on the road. However, the high mobility of vehicles is one of the fundamental and important challenging issues for video streaming services in VANETs. Nevertheless, previous studies neither dealt with suitable data caching for supporting the mobility of vehicles nor provided appropriate seamless packet forwarding for ensuring the quality of service (QoS) and quality of experience (QoE) of real-time video streaming services. To address this problem, this paper proposes a video packet distribution scheme named Clone, which integrates vehicle-to-vehicle and vehicle-to-infrastructure communications to disseminate video packets for video streaming services in VANETs. First, an indicator called current network quality information (CNQI) is defined to measure the feature of data forwarding of each node to its neighbor nodes in terms of data delivery ratio and delay. Based on the CNQI value of each node and the trajectory of the destination vehicle, access points called clones are selected to cache video data packets from data sources. Subsequently, packet distribution optimization is conducted to determine the number of video packets to cache in each clone. Finally, data delivery synchronization is established to support seamless streaming data delivery from a clone to the destination vehicle. The experimental results show that the proposed scheme achieves high-quality video streaming services in terms of QoS and QoE compared with existing schemes.
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Li, Mingfu, Chien-Lin Yeh, and Shao-Yu Lu. "Real-Time QoE Monitoring System for Video Streaming Services with Adaptive Media Playout." International Journal of Digital Multimedia Broadcasting 2018 (February 15, 2018): 1–11. http://dx.doi.org/10.1155/2018/2619438.

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Quality of Experience (QoE) of video streaming services has been attracting more and more attention recently. Therefore, in this work we designed and implemented a real-time QoE monitoring system for streaming services with Adaptive Media Playout (AMP), which was implemented into the VideoLAN Client (VLC) media player to dynamically adjust the playout rate of videos according to the buffer fullness of the client buffer. The QoE monitoring system reports the QoE of streaming services in real time so that network/content providers can monitor the qualities of their services and resolve troubles immediately whenever their subscribers encounter them. Several experiments including wired and wireless streaming were conducted to show the effectiveness of the implemented AMP and QoE monitoring system. Experimental results demonstrate that AMP significantly improves the QoE of streaming services according to the Mean Opinion Score (MOS) estimated by our developed program. Additionally, some challenging issues in wireless streaming have been easily identified using the developed QoE monitoring system.
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Azevedo, Carlos Henrique Almeida José e. "Regulation of Subscription-based Video Streaming Over-The-Top platforms in Brazil." Law, State and Telecommunications Review 12, no. 2 (October 12, 2020): 133–71. http://dx.doi.org/10.26512/lstr.v12i2.34715.

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Purpose ”“ This paper proposes an enforced self-regulation model for the regulation of video streaming OTT services in Brazil. The proposed model seeks to presents itself as an alternative to the existing regulatory asymmetry in which Cable TV and its similar are regulated through Law no. 12,485 while Video Streaming OTT services are provided to the public without any regulatory burden. Methodology ”“ Through a literature review of the Responsive Regulation Theory, this paper presents a proposed model to the regulation of Video Streaming OTT platforms in Brazil based on the enforced self-regulation model as described by Ayres and Braithwaite. Findings ”“ Considering the Brazilian legal environment and the successful use of negotional legal tools, an enforced self-regulation model for Video Streaming OTTs arises as a feasible alternative for the current regulatory asymmetry between such services and Cable TV. Originality ”“ In an unprecedented manner in Brazil, this paper proposes an enforced self-regulation model as an alternative to the regulation of video streaming OTT services in Brazil. The relevance of such research lays upon the notorious success of such platforms in the Brazilian market and upon the current worldwide debate on the regulation of OTT services.
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Yamagishi, Kazuhisa, and Akira Takahashi. "Quality Estimation Technique for Video Streaming Services." NTT Technical Review 15, no. 2 (February 2017): 35–37. http://dx.doi.org/10.53829/ntr201702gls.

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Liu, Peng, Jongwon Yoon, Ha Ryung Kim, and Suman Banerjee. "VideoCoreCluster: Energy-Efficient, Low-Cost, and Hardware-Assisted Video Transcoding System." Wireless Communications and Mobile Computing 2018 (June 5, 2018): 1–13. http://dx.doi.org/10.1155/2018/7470234.

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Video streaming is one of the killer applications in recent years. Video transcoding plays an important role in the video streaming service to cope with the various purposes. Specifically, content owners and publishers heavily utilize video transcoders to reconfigure source video in a variety of formats, video qualities, and bitrate to provide end users with the best possible quality of service. In this paper, we present VideoCoreCluster, a low-cost and energy-efficient transcoder cluster that is suitable for live streaming services. We designed and implemented real-time video transcoder cluster using cheap ($35), powerful, and energy-efficient Raspberry Pi. The quality of transcoded video provided by VideoCoreCluster is similar to the best software-based video transcoder while consuming significantly less energy (<3 W). We have proposed a scheduling algorithm based on priority of video stream and transcoding capacity. Our cluster manager provides reliable and scalable streaming services, because it uses the characteristics of adaptive bitrate scheme. We have deployed our transcoding cluster to provide IP-based TV streaming services on our university campus.
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Gaustad, Terje. "How streaming services make cinema more important." Nordic Journal of Media Studies 1, no. 1 (June 1, 2019): 67–84. http://dx.doi.org/10.2478/njms-2019-0005.

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AbstractThe technocultural disruption triggered by digitization has radically changed the way in which we consume films outside cinemas and transformed content providers’ business models. In Norway, between 2010 and 2016, DVD/Bluray and subscription-based streaming services switched places as major and minor platforms for home video consumption. Hence, home video consumption has migrated from a high-yielding platform at the head of the home video release cycle to a low-yielding platform at the tail end, where films also face tougher competition from drama series and international content tends to surpass local content. A case study of the earnings generated by local films released by a major distributor in this period suggests that home video revenues have diminished, making local films much more dependent on theatrical revenues and vulnerable to changes in cinema-going behaviour.
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Lee, Sangwon, Seonmi Lee, Hyemin Joo, and Yoonjae Nam. "Examining Factors Influencing Early Paid Over-The-Top Video Streaming Market Growth: A Cross-Country Empirical Study." Sustainability 13, no. 10 (May 19, 2021): 5702. http://dx.doi.org/10.3390/su13105702.

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This study examines the factors influencing early paid Over-The-Top (OTT) video streaming market growth in 50 countries. The results of the panel data analysis suggest that Netflix’s market entry, traditional pay TV market size, broadband infrastructure, and OTT platform competition contribute to the early market growth of paid OTT video streaming services, such as subscription video-on-demand (SVOD) services. The results also reveal that the traditional pay TV subscription market and the paid OTT video streaming market initially grow together in many countries. However, the findings also reveal a negative association between the market entry of Netflix and the subscription revenue growth rate of traditional pay TV services. The results of this study suggest industry and policy implications for paid OTT video streaming market growth and the sustainable development of the media industry.
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Dissertations / Theses on the topic "Services de streaming vidéo"

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Lin, Yu-Ting. "Analyse de performance des services de vidéo streaming dans les réseaux mobiles." Thesis, Paris, ENST, 2016. http://www.theses.fr/2016ENST0080/document.

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Le trafic de vidéo streaming étant en très forte augmentation dans les réseaux mobiles, il devient essentiel pour les opérateurs de tenir compte des spécificités de ce trafic pour bien dimensionner et configurer le réseau. Dans cette thèse, nous nous intéressons à la modélisation du trafic de vidéo streaming dans les réseaux mobiles. Pour le trafic de vidéo streaming en temps-réel, nous obtenons une forme analytique pour une métrique de qualité de service (QoS) importante, le taux de perte de paquets, et utilisons ce modèle à faire du dimensionnement. Pour le trafic de vidéo streaming de type HTTP adaptatif, nous proposons et analysons d’autres métriques de QoS comme le bitrate moyen, le taux de déficit vidéo et le surplus de buffer, afin de trouver le bon compromis entre résolution de la vidéo et fluidité de la diffusion vidéo. Nous étudions par simulation l’impact de quelque paramètres clés du systéme. Nous montrons que l’utilisation de segments de vidéo courts, d’un nombre réduit d’encodages vidéos et de l’ordonnancement de type round robin améliore la fluidité de la vidéo tout en diminuant sa résolution. Nous proposons par ailleurs d’adapter le nombre des segments téléchargés dans une requête HTTP de sorte que chaque requête corresponde au même volume de données. Enfin, nous appliquons les techniques de l’apprentissage automatique pour analyser la corrélation entre les caracteristiques du système et la qualité d’expérience (QoE) des utilisateurs
As the traffic of video streaming increases significantly in mobile networks, it is essential for oper- ators to account for the features of this traffic when dimensioning and configuring the network. The focus of this thesis is on traffic models of video streaming in mobile networks. For real-time video streaming traffic, we derive an analytical form for an important Quality-of-Service (QoS) metric, the packet outage rate, and utilize the model for dimensioning. For HTTP adaptive video streaming traffic, we propose and evaluate other QoS metrics such as the mean video bit rate, the deficit rate and the buffer surplus, so as to find the good trade-off between video resolution and playback smoothness. We study by simulation the impacts of some key parameters of the system. We show that using smaller chunk durations, fewer video coding rates and round-robin scheduling may provide a smoother video playback but decrease the mean video resolution. We also propose to adapt the number of chunks downloaded in an HTTP request so that each HTTP request has the same data volume. Finally, we apply machine learning techniques to analyze the correlation between system characteristics and the quality of experience (QoE) of users
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Lin, Yu-Ting. "Analyse de performance des services de vidéo streaming dans les réseaux mobiles." Electronic Thesis or Diss., Paris, ENST, 2016. http://www.theses.fr/2016ENST0080.

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Le trafic de vidéo streaming étant en très forte augmentation dans les réseaux mobiles, il devient essentiel pour les opérateurs de tenir compte des spécificités de ce trafic pour bien dimensionner et configurer le réseau. Dans cette thèse, nous nous intéressons à la modélisation du trafic de vidéo streaming dans les réseaux mobiles. Pour le trafic de vidéo streaming en temps-réel, nous obtenons une forme analytique pour une métrique de qualité de service (QoS) importante, le taux de perte de paquets, et utilisons ce modèle à faire du dimensionnement. Pour le trafic de vidéo streaming de type HTTP adaptatif, nous proposons et analysons d’autres métriques de QoS comme le bitrate moyen, le taux de déficit vidéo et le surplus de buffer, afin de trouver le bon compromis entre résolution de la vidéo et fluidité de la diffusion vidéo. Nous étudions par simulation l’impact de quelque paramètres clés du systéme. Nous montrons que l’utilisation de segments de vidéo courts, d’un nombre réduit d’encodages vidéos et de l’ordonnancement de type round robin améliore la fluidité de la vidéo tout en diminuant sa résolution. Nous proposons par ailleurs d’adapter le nombre des segments téléchargés dans une requête HTTP de sorte que chaque requête corresponde au même volume de données. Enfin, nous appliquons les techniques de l’apprentissage automatique pour analyser la corrélation entre les caracteristiques du système et la qualité d’expérience (QoE) des utilisateurs
As the traffic of video streaming increases significantly in mobile networks, it is essential for oper- ators to account for the features of this traffic when dimensioning and configuring the network. The focus of this thesis is on traffic models of video streaming in mobile networks. For real-time video streaming traffic, we derive an analytical form for an important Quality-of-Service (QoS) metric, the packet outage rate, and utilize the model for dimensioning. For HTTP adaptive video streaming traffic, we propose and evaluate other QoS metrics such as the mean video bit rate, the deficit rate and the buffer surplus, so as to find the good trade-off between video resolution and playback smoothness. We study by simulation the impacts of some key parameters of the system. We show that using smaller chunk durations, fewer video coding rates and round-robin scheduling may provide a smoother video playback but decrease the mean video resolution. We also propose to adapt the number of chunks downloaded in an HTTP request so that each HTTP request has the same data volume. Finally, we apply machine learning techniques to analyze the correlation between system characteristics and the quality of experience (QoE) of users
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Ye, Zakaria. "Analyse de Performance des Services de Vidéo Streaming Adaptatif dans les Réseaux Mobiles." Thesis, Avignon, 2017. http://www.theses.fr/2017AVIG0219/document.

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Le trafic vidéo a subi une augmentation fulgurante sur Internet ces dernières années. Pour pallier à cette importante demande de contenu vidéo, la technologie du streaming adaptatif sur HTTP est utilisée. Elle est devenue par ailleurs très populaire car elle a été adoptée par les différents acteurs du domaine de la vidéo streaming. C’est une technologie moins couteuse qui permet aux fournisseurs de contenu, la réutilisation des serveurs web et des caches déjà déployés. En plus, elle est exempt de tout blocage car elle traverse facilement les pare-feux et les translations d’adresses sur Internet. Dans cette thèse, nous proposons une nouvelle méthode de vidéo streaming adaptatif appelé “Backward-Shifted Coding (BSC)”. Il se veut être une solution complémentaire au standard DASH, le streaming adaptatif et dynamique utilisant le protocole HTTP. Nous allons d’abord décrire ce qu’est la technologie BSC qui se base sur le codec (encodeur décodeur) à multi couches SVC, un algorithme de compression extensible ou évolutif. Nous détaillons aussi l’implémentation de BSC dans un environnement DASH. Ensuite,nous réalisons une évaluation analytique de BSC en utilisant des résultats standards de la théorie des files d’attente. Les résultats de cette analyse mathématique montrent que le protocole BSC permet de réduire considérablement le risque d’interruption de la vidéo pendant la lecture, ce dernier étant très pénalisant pour les utilisateurs. Ces résultats vont nous permettre de concevoir des algorithmes d’adaptation de qualité à la bande passante en vue d’améliorer l’expérience utilisateur. Ces algorithmes permettent d’améliorer la qualité de la vidéo même étant dans un environnement où le débit utilisateur est très instable.La dernière étape de la thèse consiste à la conception de stratégies de caching pour optimiser la transmission de contenu vidéo utilisant le codec SVC. En effet, dans le réseau, des serveurs de cache sont déployés dans le but de rapprocher le contenu vidéo auprès des utilisateurs pour réduire les délais de transmission et améliorer la qualité de la vidéo. Nous utilisons la programmation linéaire pour obtenir la solution optimale de caching afin de le comparer avec nos algorithmes proposés. Nous montrons que ces algorithmes augmentent la performance du système tout en permettant de décharger les liens de transmission du réseau cœur
Due to the growth of video traffic over the Internet in recent years, HTTP AdaptiveStreaming (HAS) solution becomes the most popular streaming technology because ithas been succesfully adopted by the different actors in Internet video ecosystem. Itallows the service providers to use traditional stateless web servers and mobile edgecaches for streaming videos. Further, it allows users to access media content frombehind Firewalls and NATs.In this thesis we focus on the design of a novel video streaming delivery solutioncalled Backward-Shifted Coding (BSC), a complementary solution to Dynamic AdaptiveStreaming over HTTP (DASH), the standard version of HAS. We first describe theBackward-Shifted Coding scheme architecture based on the multi-layer Scalable VideoCoding (SVC). We also discuss the implementation of BSC protocol in DASH environment.Then, we perform the analytical evaluation of the Backward-Sihifted Codingusing results from queueing theory. The analytical results show that BSC considerablydecreases the video playback interruption which is the worst event that users can experienceduring the video session. Therefore, we design bitrate adaptation algorithms inorder to enhance the Quality of Experience (QoE) of the users in DASH/BSC system.The results of the proposed adaptation algorithms show that the flexibility of BSC allowsus to improve both the video quality and the variations of the quality during thestreaming session.Finally, we propose new caching policies to be used with video contents encodedusing SVC. Indeed, in DASH/BSC system, cache servers are deployed to make contentsclosed to the users in order to reduce network latency and improve user-perceived experience.We use Linear Programming to obtain optimal static cache composition tocompare with the results of our proposed algorithms. We show that these algorithmsincrease the system overall hit ratio and offload the backhaul links by decreasing thefetched content from the origin web servers
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Markou, Ioannis. "Analysing User Viewing Behaviour in Video Streaming Services." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-292095.

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The user experience offered by a video streaming service plays a fundamental role in customer satisfaction. This experience can be degraded by poor playback quality and buffering issues. These problems can be caused by a user demand that is higher than the video streaming service capacity. Resource scaling methods can increase the available resources to cover the need. However, most resource scaling systems are reactive and scale up in an automated fashion when a certain demand threshold is exceeded. During popular live streaming content, the demand can be so high that even by scaling up at the last minute, the system might still be momentarily under-provisioned, resulting in a bad user experience. The solution to this problem is proactive scaling which is event-based, using content-related information to scale up or down, according to knowledge from past events. As a result, proactive resource scaling is a key factor in providing reliable video streaming services. Users viewing habits heavily affect demand. To provide an accurate model for proactive resource scaling tools, these habits need to be modelled. This thesis provides such a forecasting model for user views that can be used by a proactive resource scaling mechanism. This model is created by applying machine learning algorithms to data from both live TV and over-the-top streaming services. To produce a model with satisfactory accuracy, numerous data attributes were considered relating to users, content and content providers. The findings of this thesis show that user viewing demand can be modelled with high accuracy, without heavily relying on user-related attributes but instead by analysing past event logs and with knowledge of the schedule of the content provider, whether it is live tv or a video streaming service.
Användarupplevelsen som erbjuds av en videostreamingtjänst spelar en grundläggande roll för kundnöjdheten. Denna upplevelse kan försämras av dålig uppspelningskvalitet och buffertproblem. Dessa problem kan orsakas av en efterfrågan från användare som är högre än videostreamingtjänstens kapacitet. Resursskalningsmetoder kan öka tillgängliga resurser för att täcka behovet. De flesta resursskalningssystem är dock reaktiva och uppskalas automatiskt när en viss behovströskel överskrids. Under populärt livestreaminginnehåll kan efterfrågan vara så hög att även genom att skala upp i sista minuten kan systemet fortfarande vara underutnyttjat tillfälligt, vilket resulterar i en dålig användarupplevelse. Lösningen på detta problem är proaktiv skalning som är händelsebaserad och använder innehållsrelaterad information för att skala upp eller ner, enligt kunskap från tidigare händelser. Som ett resultat är proaktiv resursskalning en nyckelfaktor för att tillhandahålla tillförlitliga videostreamingtjänster. Användares visningsvanor påverkar efterfrågan kraftigt. För att ge en exakt modell för proaktiva resursskalningsverktyg måste dessa vanor modelleras. Denna avhandling ger en sådan prognosmodell för användarvyer som kan användas av en proaktiv resursskalningsmekanism. Denna modell är skapad genom att använda maskininlärningsalgoritmer på data från både live-TV och streamingtjänster. För att producera en modell med tillfredsställande noggrannhet ansågs ett flertal dataattribut relaterade till användare, innehåll och innehållsleverantörer. Resultaten av den här avhandlingen visar att efterfrågan på användare kan modelleras med hög noggrannhet utan att starkt förlita sig på användarrelaterade attribut utan istället genom att analysera tidigare händelseloggar och med kunskap om innehållsleverantörens schema, vare sig det är live-tv eller tjänster för videostreaming.
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Abdallah, Alaeddine. "Mécanismes Cross-Layer pour le streaming vidéo dans les réseaux WIMAX." Thesis, Bordeaux 1, 2010. http://www.theses.fr/2010BOR14142/document.

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Poussé par la demande croissante de services multimédia dans les réseaux Internet à haut débit, la technologie WIMAX a émergé comme une alternative compétitive à la solution filaire d’accès à haut débit. L’IEEE 802.16 constitue une solution qui offre des débits élevés en assurant une qualité de service (QoS) satisfaisante. En particulier, elle est adaptée aux applications multimédia qui ont des contraintes de QoS à satisfaire. Cependant, avec la présence d’utilisateurs hétérogènes qui ont des caractéristiques diverses en termes de bande passante, de conditions radio et de ressources disponibles, de nouveaux défis posés doivent être résolus. En effet, les applications multimédia doivent interagir avec leur environnement pour informer le réseau d’accès de leurs besoins en QoS et s’adapter dynamiquement aux variations des conditions du réseau.Dans ce contexte, nous proposons deux solutions pour la transmission des flux vidéo sur les réseaux 802.16 sur la base de l’approche Cross-layer. Nous nous intéressons à la fois à la transmission unicast et multicast sur le lien montant et descendant d’une ou plusieurs cellules WIMAX.Premièrement, nous proposons une architecture Cross-Layer qui permet l’adaptation et l’optimisation du streaming vidéo en fonction des ressources disponibles. Nous avons défini une entité CLO (Cross-Layer Optimizer) qui exploite des messages de gestion des flux de service, échangés entre BS et SS, au niveau MAC, pour déterminer l’adaptation nécessaire et optimale afin d’assurer le bon fonctionnement de l’application. Les adaptations se produisent en deux temps, lors de l'admission du flux et au cours de la session de streaming. L’analyse des performances, par simulations, de notre solution montre l’efficacité du CLO à adapter, d’une façon dynamique, le débit vidéo en fonction des conditions du réseau afin d’assurer une QoS optimale.Deuxièmement, nous proposons une solution de streaming multicast des flux vidéo dans les réseaux WIMAX. Cette solution permet de trouver un compromis entre la diversité des clients, en termes de conditions radio, de schémas de modulation et de ressources disponibles, ainsi que le format de codage vidéo hiérarchique SVC, pour offrir la meilleure qualité vidéo y compris pour les clients ayant de faibles conditions radio. En effet, cette solution permet à chaque utilisateur d’obtenir une qualité vidéo proportionnellement à ses conditions radio et à sa bande passante disponible. Pour atteindre cet objectif, plusieurs groupes multicast sont formés par couches vidéo SVC. Cette solution permet d’optimiser davantage les ressources radio et ainsi d’augmenter la capacité globale du système
Driven by the increasing demand for multimedia services in broadband Internet networks, WIMAX technology has emerged as a competitive alternative to the wired broadband access solutions. The IEEE 802.16 is a solution that provides high throughput by ensuring a satisfactory QoS. In particular, it is suitable for multimedia applications that have strict QoS constraints. However, the users’ heterogeneity and diversity in terms of bandwidth, radio conditions and available resources, pose new deployment challenges. Indeed, multimedia applications need to interact with their environment to inform the access network about their QoS requirements and dynamically adapt to changing network conditions.In this context, we propose two solutions for video streaming over 802.16 networks based on Cross-Layer approach. We are interested in both unicast and multicast transmissions in uplink and downlink of one or more WIMAX cells.First, we proposed an architecture that enables Cross-Layer adaptation and optimization of video streaming based on available resources. We defined the entity CLO (Cross-Layer Optimizer) that takes benefits from service flow management messages, exchanged between BS and SS, at the MAC level, to determine the necessary adaptations / adjustment to ensure optimal delivery of the application. Adaptations occur at two epochs, during the admission of the video stream and during the streaming phase. The performance analysis, performed through simulations, shows the effectiveness of the CLO to adapt in a dynamic way, the video data rate depending on network conditions, and thus guarantee an optimal QoS.Second, we proposed a solution that enables IP multicast video delivery in WIMAX network. This solution allows finding the compromise between the diversity of end-user requirements, in terms of radio conditions, modulation schemes and available resources, along with the SVC hierarchy video format, to offer the best video quality even for users with low radio conditions. Indeed, we define a multicast architecture that allows each user to get a video quality proportionally to its radio conditions and its available bandwidth. Towards this end, several IP multicast groups are created depending on the SVC video layers. Subsequently, our solution allows optimizing the use of radio resources by exploiting the different modulations that can be selected by the end-users
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Bouzian, Mohamed. "Modélisation et optimisation de la qualité d'expérience client des services data sur le réseau mobile. Application au vidéo streaming." Thesis, Université Côte d'Azur (ComUE), 2017. http://www.theses.fr/2017AZUR4061/document.

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Ces dernières années, les terminaux mobiles sont devenus plus performants en termes de puissance de calcul, de mémoire, de taille et de la qualité de l'écran. Ces améliorations ont fortement stimulé la demande de services multimédias notamment la vidéo streaming. Par ailleurs les clients sont de plus en plus exigeants quant à la qualité rendue sur ce type de service. En plus une mauvaise expérience de la vidéo streaming a un grand impact sur la perception qu’ont les clients de l’opérateur. Optimiser la qualité d’expérience (QdE) des clients sur les services de la vidéo streaming est donc un enjeu concurrentiel majeur. Dans cette thèse, nous nous intéressons à modéliser et optimiser la QdE des services streaming en tenant compte des usages et de la mobilité des clients. En particulier, nous nous intéresserons à deux stratégies de délivrance des contenus sur le réseau mobile : la stratégie ‘’Fast Caching’’ et la stratégie ‘’On-Off’’. Nous développons des modèles analytiques qui nous permettent de calculer des indicateurs majeurs de la QdE pour le service streaming qui sont : i) la famine, qui pousse les opérateurs à envoyer plus de contenu et ii) la perte due à abandonner la lecture d’une vidéo, qui pousse ces derniers à envoyer du contenu vidéo d’une manière strictement raisonnable. Un équilibre optimal est à trouver. Nous proposons aussi des stratégies de gestion de la QdE en maintenant un bon niveau de QdE sur la totalité du réseau et en optimiser les indicateurs de la QdE du service streaming
In recent years, mobile devices have become more powerful in terms of computing power, memory, size and screen quality. These improvements have greatly stimulated demand for multimedia services including video streaming. Moreover, customers are increasingly demanding in terms of the quality rendered on this type of service. In addition, a bad experience of video streaming has a great impact on the perception that customers have of the operator. Optimizing the quality of experience (QoE) of customers on the services of video streaming is thus a major competitive challenge. In this thesis, we are interested in modeling and optimizing the QoE of the streaming services taking into account the usages and the mobility of the clients. In particular, we are interested in two strategies for delivering content on the mobile network: the Fast Caching strategy and the On-Off strategy. We develop analytical models that allow us to calculate major indicators of the QoE for the streaming service that are: i) starvation, which drives operators to send more video content to customers and ii) the loss due to abandoning the video playback, which pushes them to send video content in a strictly reasonable manner. An optimal balance is to be found. We also propose QoE oriented strategies by maintaining a good level of QoE over the entire network and optimizing the QoE indicators of streaming services
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Knoll, Thomas Martin, and Marcus Eckert. "Demo on Network-based QoE measurement for Video streaming services." Universitätsbibliothek Chemnitz, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-147676.

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Progressive download video services, such as YouTube, are responsible for a major part of the transmitted data volume in the Internet and it is expected, that they also will strongly affect mobile networks. Streaming video quality mainly depends on the sustainable throughput achieved during transmission. In order to achieve an acceptable video quality in mobile networks (with limited capacity resources), traffic engineering mechanisms have to be applied. For that, the streaming video quality needs to be measured and monitored permanently. Therefore, the video timestamps which are encoded within the payload of the TCP segments have to be extracted. For that it is necessary to decode the video within the transported payload. Algorithms for decoding Flash Video, MP4 and WebM Video have already been implemented as a demonstration implementation in support of the network based measurement contribution to SG12 by Chemnitz University for TCP encoded progressive download Internet services. In the demonstration, the derived play out buffering from the monitored traffic is being output internally. A second application is then used to graphically display the estimation result. The measurement and estimation is solely done within a measurement point of an operator network without access to the client’s end device.
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Darwich, Mahmoud K. "Cost-Efficient Video On Demand (VOD) Streaming Using Cloud Services." Thesis, University of Louisiana at Lafayette, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10682876.

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Video streaming has become ubiquitous and pervasive in usage of the electronic displaying devices. Streaming becomes more challenging when dealing with an enormous number of video streams. Particularly, the challenges lie in streaming types, video transcoding, video storing, and video delivering to users with high satisfaction and low cost for video streaming providers. In this dissertation, we address the challenges and issues encountered in video streaming and cloud-based video streaming. Specically, we study the impact factors on video transcoding in the cloud, and then we develop a model to trade-o between performance and cost of cloud. On the other hand, video streaming providers generally have to store several formats of the same video and stream the appropriate format based on the characteristics of the viewer's device. This approach, called pre-transcoding, incurs a signicant cost to the stream providers that rely on cloud services. Furthermore, pre-transcoding is proven to be inecient due to the long-tail access pattern to video streams. To reduce the incurred cost, we propose to pre-transcode only frequently-accessed videos (called hot videos) and partially pre-transcode others, depending on their hotness degree. Therefore, we need to measure video stream hotness. Accordingly, we first, provide a model to measure the hotness of video streams. Then, we develop methods that operate based on the hotness measure and determine how to pre-transcode videos to minimize the cost of stream providers. The partial pre-transcoding methods operate at dierent granularity levels to capture dierent patterns in accessing videos. Particularly, one of the methods operates faster but cannot partially pre-transcode videos with the non-long-tail access pattern. Experimental results show the ecacy of our proposed methods, specically, when a video stream repository includes a high percentage of Frequently Accessed Video Streams and a high percentage of videos with the non-long-tail accesses pattern.

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Mushtaq, Muhammad Sajid. "Apport de la Qualité de l’Expérience dans l’optimisation de services multimédia : application à la diffusion de la vidéo et à la VoIP." Thesis, Paris Est, 2015. http://www.theses.fr/2015PESC1025/document.

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L'émergence et la croissance rapide des services multimédia dans les réseaux IP ont créé de nouveaux défis pour les fournisseurs de services réseau, qui, au-delà de la Qualité de Service (QoS) issue des paramètres techniques de leur réseau, doivent aussi garantir la meilleure qualité de perception utilisateur (Quality of Experience, QoE) dans des réseaux variés avec différentes technologies d'accès. Habituellement, différentes méthodes et techniques sont utilisées pour prédire le niveau de satisfaction de l'utilisateur, en analysant l'effet combiné de multiples facteurs. Dans cette thèse, nous nous intéressons à la commande du réseau en intégrant à la fois des aspects qualitatifs (perception du niveau de satisfaction de l'usager) et quantitatifs (mesure de paramètres réseau) dans l'objectif de développer des mécanismes capables, à la fois, de s'adapter à la variabilité des mesures collectées et d'améliorer la qualité de perception. Pour ce faire, nous avons étudié le cas de deux services multimédia populaires, qui sont : le streaming vidéo, et la voix sur IP (VoIP). Nous investiguons la QoE utilisateur de ces services selon trois aspects : (1) les méthodologies d'évaluation subjective de la QoE, dans le cadre d'un service vidéo, (2) les techniques d'adaptation de flux vidéo pour garantir un certain niveau de QoE, et (3) les méthodes d'allocation de ressource, tenant compte de la QoE tout en économisant l'énergie, dans le cadre d'un service de VoIP (LTE-A). Nous présentons d'abord deux méthodes pour récolter des jeux de données relatifs à la QoE. Nous utilisons ensuite ces jeux de données (issus des campagnes d'évaluation subjective que nous avons menées) pour comprendre l'influence de différents paramètres (réseau, terminal, profil utilisateur) sur la perception d'un utilisateur d'un service vidéo. Nous proposons ensuite un algorithme de streaming vidéo adaptatif, implémenté dans un client HTTP, et dont le but est d'assurer un certain niveau de QoE et le comparons à l'état de l'art. Notre algorithme tient compte de trois paramètres de QoS (bande passante, taille de mémoires tampons de réception et taux de pertes de paquets) et sélectionne dynamiquement la qualité vidéo appropriée en fonction des conditions du réseau et des propriétés du terminal de l'utilisateur. Enfin, nous proposons QEPEM (QoE Power Efficient Method), un algorithme d'ordonnancement basé sur la QoE, dans le cadre d'un réseau sans fil LTE, en nous intéressant à une allocation dynamique des ressources radio en tenant compte de la consommation énergétique
The emerging and fast growth of multimedia services have created new challenges for network service providers in order to guarantee the best user's Quality of Experience (QoE) in diverse networks with distinctive access technologies. Usually, various methods and techniques are used to predict the user satisfaction level by studying the combined impact of numerous factors. In this thesis, we consider two important multimedia services to evaluate the user perception, which are: video streaming service, and VoIP. This study investigates user's QoE that follows three directions: (1) methodologies for subjective QoE assessment of video services, (2) regulating user's QoE using video a rate adaptive algorithm, and (3) QoE-based power efficient resource allocation methods for Long Term Evaluation-Advanced (LTE-A) for VoIP. Initially, we describe two subjective methods to collect the dataset for assessing the user's QoE. The subjectively collected dataset is used to investigate the influence of different parameters (e.g. QoS, video types, user profile, etc.) on user satisfaction while using the video services. Later, we propose a client-based HTTP rate adaptive video streaming algorithm over TCP protocol to regulate the user's QoE. The proposed method considers three Quality of Service (QoS) parameters that govern the user perception, which are: Bandwidth, Buffer, and dropped Frame rate (BBF). The BBF method dynamically selects the suitable video quality according to network conditions and user's device properties. Lastly, we propose a QoE driven downlink scheduling method, i.e. QoE Power Escient Method (QEPEM) for LTE-A. It esciently allocates the radio resources, and optimizes the use of User Equipment (UE) power utilizing the Discontinuous Reception (DRX) method in LTE-A
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Ben, Yahia Mariem. "Low latency video streaming solutions based on HTTP/2." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2019. http://www.theses.fr/2019IMTA0136/document.

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Les techniques adaptatives de transmission vidéo s’appuient sur un contenu qui est encodé à différents niveaux de qualité et divisé en segments temporels. Avant de télécharger un segment, le client exécute un algorithme d’adaptation pour décider le meilleur niveau de qualité à considérer. Selon les services, ce niveau de qualité doit correspondre aux ressources réseaux disponibles, mais aussi à d’autres éléments comme le mouvement de tête d’un utilisateur regardant une vidéo immersive (à 360°) afin de maximiser la qualité de la portion de la vidéo qui est regardée. L’efficacité de l’algorithme d’adaptation a un impact direct sur la qualité de l’expérience finale. En cas de mauvaise sélection de segment, un client HTTP/1 doit attendre le téléchargement du prochain segment afin de choisir une qualité appropriée. Dans cette thèse, nous proposons d’utiliser le protocole HTTP/2 pour remédier à ce problème. Tout d’abord, nous nous focalisons sur le service de vidéo en direct. Nous concevons une stratégie de rejet d’images vidéo quand la bande passante est très variable afin d’éviter les arrêts fréquents de la lecture vidéo et l’accumulation des retards. Le client doit demander chaque image vidéo dans un flux HTTP/2 dédié pour contrôler la livraison des images par appel aux fonctionnalités HTTP/2 au niveau des flux concernées. Ensuite, nous optimisons la livraison des vidéos immersives en bénéficiant de l’amélioration de la prédiction des mouvements de têtes de l’utilisateur grâce aux fonctionnalités d’initialisation et de priorité de HTTP/2. Les résultats montrent que HTTP/2 permet d’optimiser l’utilisation des ressources réseaux et de s’adapter aux latences exigées par chaque service
Adaptive video streaming techniques enable the delivery of content that is encoded at various levels of quality and split into temporal segments. Before downloading a segment, the client runs an adaptation algorithm to determine the level of quality that best matches the network resources. For immersive video streaming this adaptation mechanism should also consider the head movement of a user watching the 360° video to maximize the quality of the viewed portion. However, this adaptation may suffer from errors, which impact the end user’s quality of experience. In this case, an HTTP/1 client must wait for the download of the next segment to choose a suitable quality. In this thesis, we propose to use the HTTP/2 protocol instead to address this problem. First, we focus live streaming video. We design a strategy to discard video frames when the band width is very variable in order so as to avoid the rebuffering events and the accumulation of delays. The customer requests each video frame in an HTTP/2 stream which allows to control the delivery of frames by leveraging the HTTP/2 features at the level of the dedicated stream. Besides, we use the priority and reset stream features of HTTP/2 to optimize the delivery of immersive videos. We propose a strategy to benefit from the improvement of the user’s head movements prediction overtime. The results show that HTTP/2 allows to optimize the use of network resources and to adapt to the latencies required by each service
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Books on the topic "Services de streaming vidéo"

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dalla distribuzione alla circolazione? (Conference) (2016 Università Ca' Foscari) Streaming media e cultura on demand. Streaming media: Distribuzione, circolazione, accesso. Milano: Mimesis, 2017.

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Nakaya, Andrea C. Reed Hastings and Nexflix. San Diego, CA: ReferencePoint Press, Inc., 2016.

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Mao, Shiwen. Video over cognitive radio networks: When quality of service meets spectrum. New York: Springer, 2014.

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Pathan, Mukaddim, Ramesh K. Sitaraman, and Dom Robinson, eds. Advanced Content Delivery, Streaming, and Cloud Services. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118909690.

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The technology of video and audio streaming. 2nd ed. Burlington, MA: Focal Press, 2004.

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Sarmiento, Alvaro Suarez. Multimedia services and streaming for mobile devices: Challenges and innovation. Hershey, PA: Information Science Reference, 2012.

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Canada. Programme des cultures et langues ancestrales., ed. Le film, la vidéo et la photographie au Canada. Ottawa, Ont: Patrimoine canadien, 1993.

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Amazon Echo: The ultimate guide to learn Amazon Echo in no time (Amazon Prime, Alexa Skills Kit, smart devices, digital services, digital media). United States]: [CreateSpace Independent Publishing Platform], 2016.

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Simpson, Wes. Video over IP: IPTV, Internet video, H.264, P2P, web RV, and streaming : a complete guide to understanding the technology. 2nd ed. Amsterdam: Elsevier/Focal Press, 2008.

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Netp'ŭlliksonomiksŭ: Netp'ŭlliksŭ wa Han'guk pangsong midiŏ = Netflixonomics. Kyŏnggi-do P'aju-si: Hanul Ak'ademi, 2019.

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Book chapters on the topic "Services de streaming vidéo"

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Narayanan, Ram Lakshmi, Yinghua Ye, Anuj Kaul, and Mili Shah. "Mobile Video Streaming." In Advanced Content Delivery, Streaming, and Cloud Services, 141–58. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118909690.ch7.

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Lee, Sunhun, and Kwangsue Chung. "MaVIS: Media-aware Video Streaming Mechanism." In Autonomic Management of Mobile Multimedia Services, 74–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11907381_7.

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Lee, Tsung-Chieh, Pin-Chuan Liu, Woei-Luen Shyu, and Chen-Yih Wu. "Live Video Streaming Using P2P and SVC." In Management of Converged Multimedia Networks and Services, 104–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-87359-4_10.

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Yang, Guang, Mario Gerla, and Medy Sanadidi. "Adaptive Video Streaming in Presence of Wireless Errors." In Management of Multimedia Networks and Services, 26–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30189-9_3.

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Uppalapati, Sailaja, and Ali Şaman Tosun. "Partial Video Replication for Peer-to-Peer Streaming." In Management of Multimedia Networks and Services, 314–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11572831_27.

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Rückert, Julius, and David Hausheer. "Bridging the Gap: Towards an Adaptive Video Streaming Approach Supporting Transitions." In Dependable Networks and Services, 38–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30633-4_5.

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Lee, Hoon, Yoon Kee Kim, and Kwang-Hui Lee. "Bandwidth Management for Smooth Playback of Video Streaming Services." In Management of Convergence Networks and Services, 471–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11876601_48.

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Yang, Hung-Chang, Hsiang-Fu Yu, Li-Ming Tseng, and Yi-Ming Chen. "Short-Delay Video Streaming with Restricted Supplying Peer Bandwidth." In Management of Multimedia Networks and Services, 362–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11572831_31.

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Chung, Jong-Moon. "Introduction to Metaverse and Video Streaming Technology and Services." In Emerging Metaverse XR and Video Multimedia Technologies, 1–60. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8928-0_1.

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Kang, Jeffrey, Marek Burza, and Peter van der Stok. "Adaptive Streaming of Combined Audio/Video Content over Wireless Networks." In Autonomic Management of Mobile Multimedia Services, 13–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11907381_2.

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Conference papers on the topic "Services de streaming vidéo"

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Richerzhagen, Björn, Stefan Wilk, Julius Rückert, Denny Stohr, and Wolfgang Effelsberg. "Transitions in Live Video Streaming Services." In the 2014 Workshop. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2676652.2683466.

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Garcia-Sanchez, Antonio-Javier, Felipe Garcia-Sanchez, and Joan Garcia-Haro. "Comparative for Middleware Video Streaming Services." In International Conference on Software Engineering Advances (ICSEA 2007). IEEE, 2007. http://dx.doi.org/10.1109/icsea.2007.23.

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Liotta, Antonio. "The human side of video streaming services." In the 10th International Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2428955.2428961.

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Liotta, Antonio. "The human side of video streaming services." In the 14th International Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2428736.2428741.

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Li, Xiangbo, Mohsen Amini Salehi, and Magdy Bayoumi. "VLSC: Video Live Streaming Using Cloud Services." In 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom). IEEE, 2016. http://dx.doi.org/10.1109/bdcloud-socialcom-sustaincom.2016.93.

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Cheng, Shuhui Sophy, Shao-Liang Chang, and Chi-Ying Chen. "Problematic Use of Live Video Streaming Services." In ICSCA '19: 2019 8th International Conference on Software and Computer Applications. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3316615.3316620.

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Yamagishi, Kazuhisa. "QoE-estimation models for video streaming services." In 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE, 2017. http://dx.doi.org/10.1109/apsipa.2017.8282058.

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Alvarez, Alberto, Sergio Cabrero, Xabiel G. Paneda, Roberto Garcia, David Melendi, and Rafael Orea. "A flexible QoE framework for video streaming services." In 2011 IEEE Globecom Workshops. IEEE, 2011. http://dx.doi.org/10.1109/glocomw.2011.6162377.

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Dernbach, Stefan, Nina Taft, Jim Kurose, Udi Weinsberg, Christophe Diot, and Azin Ashkan. "Cache content-selection policies for streaming video services." In IEEE INFOCOM 2016 - IEEE Conference on Computer Communications. IEEE, 2016. http://dx.doi.org/10.1109/infocom.2016.7524619.

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Kawano, Taichi, Kazuhisa Yamagishi, Keishiro Watanabe, and Jun Okamoto. "No reference video-quality-assessment model for video streaming services." In 2010 18th International Packet Video Workshop (PV). IEEE, 2010. http://dx.doi.org/10.1109/pv.2010.5706833.

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Reports on the topic "Services de streaming vidéo"

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Lotz, Amanda, and Oliver Eklund. Global Streaming Strategy Assessment. Queensland University of Technology, 2022. http://dx.doi.org/10.5204/rep.eprints.237030.

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The Global Streaming Strategy Assessment identifies the range of sectors emerging in the streaming video marketplace. It identifies how key conditions such as ownership and underlying technology norms shape different experiences by country and the characteristics that organise distinct sectors of service. The assessment uses data about the composition of service libraries to identify different strategies and value propositions on offer.
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Campbell, Heidi A., Jennifer Daly, Sophia A. Osteen, and Andrea Wallace. Mission to Serve Tech: Churches "Lock Down" Technology During The Global Pandemic. The Network For New Media, Religion & Digital Culture Studies, January 2023. http://dx.doi.org/10.21423/oak/1969.1/197075.

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This report analyzes data collected from 2700 churches of the Center for Congregations in Indianapolis through the Connect Through Tech grant program between 2020-2021. This report analyzes data gathered from applications to the CTT grant and final reports submitted by these churches, in order to learn how churches understand and perceive the role of churches, technology, and their relationship changed during the first two years of the pandemic as they incorporated digital media into their ministry work. The “Mission to Serve Tech” report explores three key themes: (1) how leaders understanding of the mission of the church may have changed during the pandemic, (2) the general understanding of how churches conceptualize the relationship between church and technology before and then later during the pandemic, and (3) the ways technology created both unique opportunities and new challenges that cause churches perceptions and actions to shift in new ways. Important findings of this report include that most churches (84.7%) used their grant funds to purchase live-streaming services and camera/video equipment (82%).
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Alcolea-Díaz, G., and JV García-Santamaría. Football broadcasting rights in Spain in the digital age: between pay television and streaming services. Revista Latina de Comunicación Social, February 2019. http://dx.doi.org/10.4185/rlcs-2019-1338en.

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