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Letteratura scientifica selezionata sul tema "Streaming"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 9 giugno 2025

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Articoli di riviste sul tema "Streaming"

Kechris, Christodoulos, Jonathan Dan, Jose Miranda, and David Atienza. "Don’t Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 17 (April 11, 2025): 17805–13. https://doi.org/10.1609/aaai.v39i17.33958.

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Deep learning time-series processing often relies on convolutional neural networks with overlapping windows. This overlap allows the network to produce an output faster than the window length. However, it introduces additional computations. This work explores the potential to optimize computational efficiency during inference by exploiting convolution's shift-invariance properties to skip the calculation of layer activations between successive overlapping windows. Although convolutions are shift-invariant, zero-padding and pooling operations, widely used in such networks, are not and complicate efficient streaming inference. We introduce StreamiNNC, a strategy to deploy Convolutional Neural Networks for online streaming inference. We explore the adverse effects of zero padding and pooling on the accuracy of streaming inference, deriving theoretical error upper bounds for pooling during streaming. We address these limitations by proposing signal padding and pooling alignment and provide guidelines for designing and deploying models for StreamiNNC. We validate our method in simulated data and on three real-world biomedical signal processing applications. StreamiNNC achieves a low deviation between streaming output and normal inference for all three networks (2.03 - 3.55% NRMSE). This work demonstrates that it is possible to linearly speed up the inference of streaming CNNs processing overlapping windows, negating the additional computation typically incurred by overlapping windows.

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Blakeley, Ryan. "“The Part of the Music Industry That God Forgot”." Journal of Popular Music Studies 36, no. 2 (June 1, 2024): 28–51. http://dx.doi.org/10.1525/jpms.2024.36.2.28.

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In October 2020, the B2B (business-to-business) background music company Soundtrack Your Brand—formerly Spotify Business—launched the world’s first full-catalog on-demand streaming service for background music. Although background music providers have licensed, curated, and distributed music to businesses for nearly a century, they have only recently started embracing the new possibilities of streaming. Now, streaming is rapidly influencing the background music industry’s features, music selection practices, and economics. While scholars in music and media studies have extensively studied B2C (business-to-consumer) streaming services such as Spotify and Apple Music, they have largely neglected streaming’s impact on background music. This article investigates how streaming is impacting the B2B background music industry, drawing upon platform analysis, marketing materials, and interviews with background music CEOs and researchers. After reviewing background music’s history and effects, the article examines how streaming is influencing business-oriented background music features, such as scheduling, zoning, messaging, and monitoring. It then considers streaming’s impact on background music selection practices, demonstrating how businesses are increasingly using features popularized by mainstream consumer services, such as playlists, algorithmic recommendations, and massive catalogs of music. The final section explores how streaming is shaping the economics of the background music industry, particularly for rightsholders who have historically been underpaid billions of dollars in public performance royalties. I argue that streaming may improve background music’s efficiency for businesses, but it also potentially reifies broader concerns about social control, surveillance, and inequitable artist remuneration that have become increasingly prevalent in the streaming age.

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Rich, B. Ruby. "Streaming Hope, Streaming Despair, Still Streaming." Film Quarterly 74, no. 3 (2021): 5–8. http://dx.doi.org/10.1525/fq.2021.74.3.5.

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Walker, Austin. "Watching Us Play: Postures and Platforms of Live Streaming." Surveillance & Society 12, no. 3 (June 28, 2014): 437–42. http://dx.doi.org/10.24908/ss.v12i3.5303.

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In this article, Austin Walker discusses streaming, the practice of broadcasting the gameplay footage. Providing a brief analysis of the range of streaming practices, Walker argues that streaming represents a sea change in how players share and collaborate, adding new sorts of social interactivity to an experience that was, for so long, solitary. Live streaming’s novelty grants it special status as a practice still in formation, making it especially useful in analyzing how late capitalism identifies and appropriates fresh cultural activity--doing so in this case through the development of an infrastructure that supports and encourages voluntary self-surveillance. While there are resistive elements of live-streaming, such as allowing new voices access to broadcast capabilities, streaming also represents socialized labour. Walker separates streaming into two stances: the active streaming posture, where streamers voluntarily choose to broadcast their play, and the passive streaming posture, where streaming is automatically incorporated into the hardware and/or software of the gaming platform and players are unable to opt in or out.

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Jin, Delong. "Live-Streaming Adoption Strategies in Downstream-Dominant Supply Chain." Mathematics 13, no. 2 (January 11, 2025): 230. https://doi.org/10.3390/math13020230.

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In recent years, live streaming has become popular among merchants as it helps them obtain direct access to and attract customers. This study examines how weak upstream providers and strong downstream sellers adopt live streaming in a supply chain framework. It uses a theoretical game model with one provider and one seller. The seller sets the procurement price, and then the provider decides the supply level. Both can use live streaming alongside traditional channels. The results show that (1) live streaming raises both procurement and retail prices in traditional channels; (2) retail prices may differ or coincide between channels when different parties use live streaming; (3) as live streaming’s market cultivation efficiency decreases, the adoption strategies shift from both parties using it to only the provider or neither; and (4) live streaming always benefits the provider but harms the seller, with the overall impact on the supply chain depending on the cultivation efficiency and types of equilibrium strategies.

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Yang, Lyu Shu, and Li Xuan. "Enhancing Oral Communication through Live Streaming: Exploring Opportunities and Challenges." International Journal of Scientific and Management Research 06, no. 07 (2023): 107–23. http://dx.doi.org/10.37502/ijsmr.2023.6707.

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This study evaluates live streaming's effects on spoken conversations. After discussing voice communication's relevance in numerous situations, live streaming is studied. Study live broadcasting's impact on spoken communication. This research evaluates live-streamed spoken communication. Surveys, interviews, and relevant literature accomplished this. Livestream viewers and participants were assessed about spoken communication interest and usage. The research indicated live streaming enhances speech. Engagement, responsiveness, and dispersion increased. Global citizens can speak. Technology, privacy, and nonverbal communication are issues. These are concerns. Livestreaming spoken dialogue was advised. Streaming media is trustworthy and straightforward. Interactivity, standards, and communication best practices are covered here. Researching certain places and demographics may help explain live streaming's influence on speech. This research reveals how live broadcasting influences speech. Livestreaming's benefits and downsides. Live broadcasting helps businesses and people. Understanding this new media may boost communication skills and help organizations meet their communication goals. This approach benefits both.

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Lewis, Ryan Hardesty, and Alex Conway. "Streaming the Future of Sustainability." ACM SIGEnergy Energy Informatics Review 4, no. 5 (December 2024): 166–71. https://doi.org/10.1145/3727200.3727225.

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The rapid growth of digital video traffic presents both challenges and opportunities for sustainable content delivery. We argue that the shift towards on-demand streaming, exemplified by services like Netflix, provides a path to significantly reduce the carbon footprint and e-waste associated with traditional computing paradigms. By eliminating the need for local operating systems, enabling more efficient edge devices, and leveraging renewable-powered cloud infrastructure, streaming on-demand hardware and content can drive down energy use and embodied emissions. We analyze the key factors behind streaming's improved sustainability and chart a course for further optimization, envisioning a future where streaming is the default across all computing domains. This future will be enabled by a new class of streaming-optimized edge devices and continued innovation in areas like video coding, adaptive bitrate algorithms, and energy-efficient processing.

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Grodź, Iwona. "Streaming versus edukacja. O jakości i uważności w edukacji oraz streamingu." Pedagogika Społeczna Nova 4, no. 8 (December 1, 2024): 83–98. https://doi.org/10.14746/psn.2024.4.8.6.

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Education and streaming – this is a combination of technology and pedagogy that is transforming the way we learn and teach others. Streaming – the live transmission or sharing of video content over the Internet – offers new opportunities for education, both formal and informal. The purpose of the essay is to point out several key aspects of this connection that allow us to reveal both the advantages of education via streaming and its disadvantages. Research question: Is streaming really an effective educational method? By enabling free contact with any amount of content, does it create orders of production and reception subject to educational, economic and even ideological requirements to the same extent? Methodology: analysis of scientific discourse on the topic under study.

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Zhang, Hong, Zhenchao Xu, Yunxiang Wang, and Yupeng Shen. "An innovative parameter optimization of Spark Streaming based on D3QN with Gaussian process regression." Mathematical Biosciences and Engineering 20, no. 8 (2023): 14464–86. http://dx.doi.org/10.3934/mbe.2023647.

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<abstract>Nowadays, Spark Streaming, a computing framework based on Spark, is widely used to process streaming data such as social media data, IoT sensor data or web logs. Due to the extensive utilization of streaming media data analysis, performance optimization for Spark Streaming has gradually developed into a popular research topic. Several methods for enhancing Spark Streaming's performance include task scheduling, resource allocation and data skew optimization, which primarily focus on how to manually tune the parameter configuration. However, it is indeed very challenging and inefficient to adjust more than 200 parameters by means of continuous debugging. In this paper, we propose an improved dueling double deep Q-network (DQN) technique for parameter tuning, which can significantly improve the performance of Spark Streaming. This approach fuses reinforcement learning and Gaussian process regression to cut down on the number of iterations and speed convergence dramatically. The experimental results demonstrate that the performance of the dueling double DQN method with Gaussian process regression can be enhanced by up to 30.24%.</abstract>

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Kang, Jeongho, and Kwangsue Chung. "HTTP Adaptive Streaming Framework with Online Reinforcement Learning." Applied Sciences 12, no. 15 (July 24, 2022): 7423. http://dx.doi.org/10.3390/app12157423.

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Dynamic adaptive streaming over HTTP (DASH) is an effective method for improving video streaming’s quality of experience (QoE). However, the majority of existing schemes rely on heuristic algorithms, and the learning-based schemes that have recently emerged also have a problem in that their performance deteriorates in a specific environment. In this study, we propose an adaptive streaming scheme that applies online reinforcement learning. When QoE degradation is confirmed, the proposed scheme adapts to changes in the client’s environment by upgrading the ABR model while performing video streaming. In order to adapt the adaptive bitrate (ABR) model to a changing network environment while performing video streaming, the neural network model is trained with a state-of-the-art reinforcement learning algorithm. The proposed scheme’s performance was evaluated using simulation-based experiments under various network conditions. The experimental results confirmed that the proposed scheme performed better than the existing schemes.

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Tesi sul tema "Streaming"

Kuacharoen, Pramote. "Embedded Software Streaming via Block Streaming." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5252.

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Downloading software from a server usually takes a noticeable amount of time, that is, noticeable to the user who wants to run the program. However, this issue can be mitigated by the use of streaming software. Software steaming is a means by which software can begin execution even while transmission of the full software program may still be in progress. Therefore, the application load time (i.e., the amount of time from when an application is selected for download to when the application can be executed) observed by the user can be significantly reduced. Moreover, unneeded software components might not be downloaded to the device, lowering memory and bandwidth usages. As a result, resource utilization such as memory and bandwidth usage may also be more efficient. Using our streaming method, an embedded device can support a wide range of applications which can be run on demand. Software streaming also enables small memory footprint devices to run applications larger than the physical memory by using our memory management technique. In this dissertation, we present a streaming method we call block streaming to transmit stream-enabled applications, including stream-enabled file I/O. We implemented a tool to partition software into blocks which can be transmitted (streamed) to the embedded device. Our streaming method was implemented and simulated on an MBX860 board and on a hardware/software co-simulation platform in which we used the PowerPC architecture. We show a robotics application that, with our software streaming method, is able to meet its deadline. The application load time for this application also improves by a factor of more than 10X when compared to downloading the entire application before running it. The experimental results also show that our implementation improves file I/O operation latency; in our examples, the performance improves up to 55.83X when compared with direct download. Finally, we show a stream-enabled game application combined with stream-enabled file I/O for which the user can start playing the game 3.18X more quickly than using only the stream-enabled game program file alone.

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Johnsson, Ola, Magnus Stenemo, and Zain ul-Abdin. "Programming & Implementation of Streaming Applications." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-283.

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Streaming applications like multimedia and radar signal processing applications are becoming increasingly compute-intensive. To overcome the computational demands new parallel architectures are emerging. The programming tools provided with these architectures require low-level programming, which creates a need for a common high-level architecture independent language that can exploit parallelism efficiently. One such language is StreamIt, designed around the notions of streams and stream transformers, which allows efficient mapping to a variety of architectures. The overall goal of this master’s thesis is to evaluate the StreamIt language from a programmability and portability point of view. An MPD-application has been developed in StreamIt, which is executed on the RAW simulator. Furthermore, a code generator is designed to compile and execute the application on the XPP simulator. The conclusions drawn are that StreamIt is easy to learn, but hard to use because of its programming paradigm as compared to conventional languages. StreamIt programming involves thinking in terms of streams instead of globally accessed memory. The structure of StreamIt makes it easy to reuse components and modify the application. The construction of the compiler makes it possible to port StreamIt application to various architectures.

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Johnsson, Ola, Magnus Stenemo, and Zain-ul-Abdin. "Programming & Implementation of Streaming Applications." Thesis, Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-283.

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Abstract (sommario):

Streaming applications like multimedia and radar signal processing applications are becoming increasingly compute-intensive. To overcome the computational demands new parallel architectures are emerging. The programming tools provided with these architectures require low-level programming, which creates a need for a common high-level architecture independent language that can exploit parallelism efficiently. One such language is StreamIt, designed around the notions of streams and stream transformers, which allows efficient mapping to a variety of architectures. The overall goal of this master’s thesis is to evaluate the StreamIt language from a programmability and portability point of view. An MPD-application has been developed in StreamIt, which is executed on the RAW simulator. Furthermore, a code generator is designed to compile and execute the application on the XPP simulator. The conclusions drawn are that StreamIt is easy to learn, but hard to use because of its programming paradigm as compared to conventional languages. StreamIt programming involves thinking in terms of streams instead of globally accessed memory. The structure of StreamIt makes it easy to reuse components and modify the application. The construction of the compiler makes it possible to port StreamIt application to various architectures.

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Tarnutzer, Christian. "Streaming XQueryP." Zürich : Databases and Information Systems Group, Department of Computer Science, ETH Zurich, 2008. http://e-collection.ethbib.ethz.ch/show?type=dipl&nr=355.

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Berthier, Alexandre. "Streaming Tales." Fogler Library, University of Maine, 2005. http://www.library.umaine.edu/theses/pdf/BerthierA2005.pdf.

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Penkrot, Brian. "Anisotropic streaming." Diss., University of Iowa, 2014. https://ir.uiowa.edu/etd/4715.

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My work Anisotropic Streaming is written for the University of Iowa Symphonic Orchestra. It is approximately 16 minutes in length. The inspiration of the piece was the cosmic background radiation remaining from the Big Bang. In 1964, it was discovered that space was filled with a faint amount of radiation; a relic from the time when slight temperature variance allowed for the coalescence of particles. These particle collections soon had varying masses and therefore varying gravitational pulls, which in turn created the stars and galaxies. Since the universe expanded while the temperature variances allowed for this particle accumulation, the background radiation is patterned in a manner that is anisotropic: a nearly uniform arrangement of the radiation that appears different depending on the observer's orientation. As a formal tool, this phenomenon has suggested a compositional process focused on transition and contextualization. The concept of anisotropy manifests itself in my composition in a number of ways. The first of three sections "collects" individual pitches until those frequencies are no longer perceptible - the listener's mind fuses the pitches into a single yet complex sonority. This fusion is encouraged further by the arrangement of pitches mimicking the overtone series. The second section features a very active and thick texture combining to make a single mass of sound. The texture gradually removes layers to reveal the individual short melodies that make up the mass. The third section rearranges these short melodies, making the high melodies low and the low melodies high. Each melody grows one note longer on each iteration, until each are so long they begin to fuse into a single, complex sonority. In these ways, I attempt to create the same kind of sound but through a shifting perspective, exposing sound's anisotropic construction. Formally, the piece divides into three sections, each a composite sound at different levels of synchronicity and perspective. The sections are further subdivided into two parts, the first being transitional and the second being a more static exhibition of the section's conceptual purpose. The pitch material in expositional areas is based on the mathematical overtone series (rounded to the nearest semitone). Pitch material in transitional phrases collects into aggregates, generally derived from a frequency modulation, amplitude modulation, or distortion by common fate. These pitches are not necessarily relegated to their registral frequencies, allowing for some octave equivalence. The first section, an exposition of separate elements creating a whole sonority, begins with the accumulation of material in the middle, high, then low register. As events become more synchronized, these three disparate elements become parts of an Eb1 sonority through additive synthesis. After a brief transitional section of aggregate sonorities in a symmetrical rhythm, the fundamental switches to G1 as a pizzicato cloud texture replaces the higher overtones. The additive G1 sonority occurs repeatedly, getting more frequent towards the end of the section. Using common overtones, overtones of the G1 sonority are sustained and the harmony is displaced by Eb1. The second section is a discovery of separate elements that exist within a sound complex, and subsequently, the germinal existences of those elements. The effect of parsing the lower pitches into imagined component pitches is the destabilization of a steady fundamental. The implied fundamentals instead fade in and out of perceivable space, creating a sonic environment of quasi-periodic harmonicity. The section begins by changing the Eb1 to a virtual Bb0 fundamental through a series of common overtones. The sustained Bb0 overtones are rhythmicized, becoming melodic fragments of varying lengths. After the surface texture of the Bb0 climaxes, the orchestration is reduced three times to solos and duets, revealing the melodies that exist in each registral area (high, middle, low). A brief transitional section of aggregate sonorities in a rhythm similar to the transitional area in section one, the implied fundamental becomes a D-1. The melodic fragments are extended through sparer orchestration, with soloists and small chamber combinations developing the ideas. The section ends with an implied C1 fundamental. The final section is the destabilization of the quasi-periodic harmonicity of the second section. The section begins in the highest register on string harmonics that do not imply any particular fundamental. The overtones are textured, and interjections of shepherd tones and noise elements add to an active surface with an unmoored harmonic space. When the surface reaches a maximally undefined pitch space, the gesture of the completed added sonority from the first section returns, implying fundamentals of five different sonorities, moving progressively away from harmonicity. A superimposition of the solo and chamber melodies against segments of previous aggregate transitions leads the harmonic space to a C2 fundamental, played in the gesture of the completed added sonority from the first section. By holding shared common tones, the harmonic space changes to an E1 fundamental, and pitches get higher and quieter until the piece ends.

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Jakobsson, Rasmus, and Viktor Jönsson. "Live streaming : En kvalitativ undersökning om streaming av datorspel." Thesis, Uppsala universitet, Informationssystem, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-233205.

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Vad är det som gör att en miljon människor lägger tid på att streama datorspel? Live streaming har funnits sedan 1920-talet, då i form av musik i hissar. På 1990-talet började hemdatorer utvecklas hårdvarumässigt tillräckligt för att kunna streama film och ljud. Med en kvalitativ enkät publicerad på nätet undersöker vi i den här uppsatsen varför en miljon personer idag väljer att streama när de spelar dator eller tv spel. Resultat vi kommer fram till är ett antal kategorier med olika motiveringar till varför en person väljer att dela med sig av sina spelupplevelser till andra.

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Abdulsalam, Hanady. "Streaming Random Forests." Thesis, Kingston, Ont. : [s.n.], 2008. http://hdl.handle.net/1974/1321.

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Čeněk, Radek. "Audio/Video streaming." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-220405.

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This thesis introduces the reader in detail with the problem of audio / video streaming overtheInternet.IntroducestechnologiesMySQL,PHP,JavaScriptandffmpegfurthermore. There is little research which examines presented similar solutions. Creating video library program shows the complexity of the problem and its possible solution. The work also finding how is compression difficult for the server.

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Pinkepank, Felix. "Streaming Unauthorised Copyrighted Content: Copyright Liability of Streaming Platforms and Streaming Box Distributors. A Comparative EU-US-SA Perspective." Master's thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29709.

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This thesis examines the liability for copyright infringement of streaming platforms and streaming box distributors in the EU, U.S. and in South Africa. As there have been no reported cases in South Africa in which copyright holders have instituted legal proceedings concerning copyright infringement against streaming platforms or streaming box distributors, this thesis analyses and compares the legal context in the EU and the U.S., in order to develop an appropriate approach for lawmakers and courts in South Africa regarding this issue. It concludes that the approach of the European Court of Justice with regard to the communication to the public right leads to legal uncertainty and should not be followed. Instead, it is suggested that South Africa implements into its Copyright Act of 1978 parts of the U.S. approach in terms of secondary liability. Furthermore, the lawmaker should revise the safe harbour provisions in the Electronic Communications and Transactions Act of 2002.

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Più fonti

Libri sul tema "Streaming"

Demetriades, Gregory C. Streaming Media. New York: John Wiley & Sons, Ltd., 2003.

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Wu, Huijun, and Maosong Fu. Heron Streaming. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60094-5.

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Follansbee, Joe. Get Streaming! San Diego: Elsevier Science & Technology, 2010.

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Nabi, Zubair. Pro Spark Streaming. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1479-4.

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Tommasini, Riccardo, Pieter Bonte, Fabiano Spiga, and Emanuele Della Valle. Streaming Linked Data. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-15371-6.

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Kearney, Lawrence. Streaming: 1981-1987. San Francisco, CA: Trike, in collaboration with O Books, 1988.

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Menin, Eyal. Streaming media handbook. Upper Saddle River, N.J: Prentice Hall PTR, 2003.

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Ferchaud, Arienne, and Jennifer M. Proffitt. Television’s Streaming Wars. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003335641.

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Stewart, Peter. The Live-Streaming Handbook. London ; New York : Routledge, 2018.: Routledge, 2017. http://dx.doi.org/10.4324/9781315209883.

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Wirz, Anna-Lena. Media-Streaming und Geoblocking. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-26083-5.

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Capitoli di libri sul tema "Streaming"

Adejunmobi, Moradewun. "Streaming Quality, Streaming Cinema." In A Companion to African Cinema, 217–43. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119100577.ch10.

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Pyles, Damiana Gibbons. "Streaming Media, Streaming Time." In Literacy and Identity Through Streaming Media, 19–29. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003176992-2.

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Frampton, Michael. "Streaming." In Complete Guide to Open Source Big Data Stack, 219–57. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-2149-5_7.

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Weik, Martin H. "streaming." In Computer Science and Communications Dictionary, 1675. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_18377.

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Diehl, Stephan. "Streaming." In Distributed Virtual Worlds, 87–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04519-0_9.

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Donham, Tammy, Amy Sue Macy, and Clyde Philip Rolston. "Streaming." In Marketing Recorded Music, 187–203. 4th ed. New York: Focal Press, 2022. http://dx.doi.org/10.4324/9781003153511-10.

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Freiknecht, Jonas, and Stefan Papp. "Streaming." In Big Data in der Praxis, 475–83. München: Carl Hanser Verlag GmbH & Co. KG, 2018. http://dx.doi.org/10.3139/9783446456013.014.

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Kuacharoen, Pramote, Vincent J. Mooney, and Vijay K. Madisetti. "Software Streaming via Block Streaming." In Embedded Software for SoC, 435–48. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/0-306-48709-8_32.

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Shang, Kaiti, Daisy Fan, and Dimitrios Buhalis. "Streaming." In Encyclopedia of Tourism Management and Marketing, 269–72. Edward Elgar Publishing, 2022. http://dx.doi.org/10.4337/9781800377486.streaming.

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Wymer, Sarah. "Streaming." In Encyclopedia of Sport Management. Edward Elgar Publishing, 2021. http://dx.doi.org/10.4337/9781800883284.streaming.

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Atti di convegni sul tema "Streaming"

Muduli, Debendra, Saroj Kumar Sahoo, Jayanta Kumar Mishra, Debasish Pradhan, and Santosh Kumar Sharma. "Simplifying Digital Streaming: An Innovative Cross-Platform Streaming Solution." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), 1–6. IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10726004.

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Conde, Marcos V., Andy Bigos, and Radu Timofte. "Streaming Neural Images." In 2024 IEEE International Conference on Image Processing (ICIP), 2034–40. IEEE, 2024. http://dx.doi.org/10.1109/icip51287.2024.10648050.

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Paton, Lisa. "Monitoring DUNE Data Streaming Efficiency." In Monitoring DUNE Data Streaming Efficiency. US DOE, 2021. http://dx.doi.org/10.2172/1825295.

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Paton, Lisa. "Monitoring DUNE Data Streaming Efficiency." In Monitoring DUNE Data Streaming Efficiency. US DOE, 2021. http://dx.doi.org/10.2172/1825295.

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Marmolejos, Sarah. "Streaming Infrastructure for Frequency Multiplexed Sensors." In Streaming Infrastructure for Frequency Multiplexed Sensors. US DOE, 2023. http://dx.doi.org/10.2172/1993459.

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Higgins, Saoirse, and Ian Ginilt. "Streaming." In ACM SIGGRAPH 98 Electronic art and animation catalog. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/281388.281438.

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Endert, Alex, William A. Pike, and Kristin Cook. "From Streaming Data to Streaming Insights." In the 2014 Workshop. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2609876.2609882.

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Alhammady, Hamad. "Mining Streaming Emerging Patterns from Streaming Data." In 2007 IEEE/ACS International Conference on Computer Systems and Applications. IEEE, 2007. http://dx.doi.org/10.1109/aiccsa.2007.370917.

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Raman, Balan Sethu, and Mohamed Ali. "Spatial data streaming or streaming spatial data." In the 1st International Conference and Exhibition. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1823854.1823856.

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Tobagi, Fouad A., Joseph Pang, Randall Baird, and Mark Gang. "Streaming RAID." In the first ACM international conference. New York, New York, USA: ACM Press, 1993. http://dx.doi.org/10.1145/166266.168435.

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Rapporti di organizzazioni sul tema "Streaming"

Fletcher, Jonathan, David Doria, and David Druno. Android Video Streaming. Fort Belvoir, VA: Defense Technical Information Center, May 2014. http://dx.doi.org/10.21236/ada601489.

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May, W. HTTP Live Streaming. Edited by R. Pantos. RFC Editor, August 2017. http://dx.doi.org/10.17487/rfc8216.

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Cook, N. Streaming Internet Messaging Attachments. RFC Editor, August 2009. http://dx.doi.org/10.17487/rfc5616.

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Amarsinghe, Saman, Robert Miller, and Michael Ernst. Reincarnation of Streaming Applications. Fort Belvoir, VA: Defense Technical Information Center, October 2009. http://dx.doi.org/10.21236/ada509512.

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Lui, Arthur. Streaming Bayesian Inference: Progress. Office of Scientific and Technical Information (OSTI), September 2022. http://dx.doi.org/10.2172/1889962.

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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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Abstract (sommario):

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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Schulzrinne, H., A. Rao, and R. Lanphier. Real Time Streaming Protocol (RTSP). RFC Editor, April 1998. http://dx.doi.org/10.17487/rfc2326.

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Cook, Kristin A., Edwin R. Burtner, Brian P. Kritzstein, Brooke R. Brisbois, and Anna E. Mitson. Streaming Visual Analytics Workshop Report. Office of Scientific and Technical Information (OSTI), March 2016. http://dx.doi.org/10.2172/1417447.

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Caspi, Eylon. Design Automation for Streaming Systems. Fort Belvoir, VA: Defense Technical Information Center, December 2005. http://dx.doi.org/10.21236/ada603902.

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Holland, J., A. Begen, and S. Dawkins. Operational Considerations for Streaming Media. RFC Editor, October 2022. http://dx.doi.org/10.17487/rfc9317.

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