Streaming Media Server Research Articles

Consumer Satisfaction and Extension Intention with Streaming Media Services

Consumer Satisfaction and Extension Intention with Streaming Media Services

Netflix s Cross-Screen Linkage and Cross-Platform Media Content Distribution Strategy: The Path to Innovation Leadership in the Digital Age

Amidst the continuous advancement of science and technology and the deepening of globalization, Netflix, a pioneering streaming media service provider, has garnered widespread attention within the industry for its cross-screen interlinkage and cross-platform media content dissemination strategy. This article commences with an overview of Netflix s core strategy, which encompasses multi-platform support, personalized recommendations, social integration, original content, global expansion, offline downloads, and collaborations with third-party platforms. Subsequently, the implications of these strategies on user experience, market competition, and business models are explored. Furthermore, the paper delves into the challenges that Netflix confronts in content generation and copyright, technology, user behavior, competitive pressures, and regional cultural disparities. Ultimately, the future growth trajectory of Netflix is prognosticated.

The conflicting needs of now and forever: Designing streaming media services at an academic library

Fulfilling requests for media content in support of classroom and faculty research activities is demanding for academic libraries. Libraries strive to meet requests for media while working with challenges such as intellectual property license contracts, advances in digital communication technologies and copyright issues. This article provides an in-depth look at the changing demands of collections and services in addressing faculty requests for media, and outlines both a collection and a service strategy developed by librarians at the University of South Florida Libraries to provide faculty and students with access to diverse media titles in formats ranging from physical to streaming.

Data-Driven Deepfake Forensics Model Based on Large-Scale Frequency and Noise Features

With the rapid development of deep learning and communication technology, the application of streaming media services and social software have gone deep into life. However, in the face of many uncertain factors in data dissemination, protecting privacy and security is particularly important. In order to solve the above problems, this study proposes a deep face forgery forensics method with frequency domain and noise features. In this method, DCT (i.e. Discrete Cosine Transform) transform is proposed to perceive the forgery trace features of different frequency bands in the frequency domain. At the same time, the spatial rich model (SRM) is used for guidance to enhance the traces of forged noise. Then, large-scale network and single center loss function are introduced to improve the forensics ability of the model. Experimental results on several databases such as faceforensics++, celeb DF and DFDC show that this method can effectively improve the accuracy of forensics.

한국 시장 진출을 위한 해외 OTT 스트리밍 플랫폼 서비스 전략 연구

With the increase of OTT streaming services, OTT streaming service brands have also emerged in the domestic market and gained huge competitiveness in the service market. Focusing on Disney+, the emerging OTT streaming service brand that ranks No. 1 in China, and Netflix, which ranks No. 1 in the domestic OTT streaming service market, additional analysis was conducted on the original content, price strategy, consumer base, etc. of the two streaming media services. and consideration. Research conclusion: First, OTT streaming services need to understand the usage time of each target user. Second, in terms of providing original content, recommendations and classifications are made based on the age and taste of the target customer group. Pricing should adopt market-oriented pricing methods to play a price-balancing role for each country.

Over-the-Top (OTT) Watching Behaviour of Consumers in Secunderabad

Consumer desire for selected content available on the OTT platform. Over the top media Platform A streaming media service provided directly to viewers via the Internet. Over the Top (OTT) video platform considered a luxury item, but it is now a product. In India, there was an unprecedented increase in numbers Consumers are adapting. Indian streaming services like Hot star and Jio Cinema have become more powerful with a foothold, global players like Netflix and Amazon Prime have grown tremendously in India. The data from this survey was collected through both primary data. For primary data, structured questionnaire method used to collect the data. To do so, understating how users enjoy OTT and analyzing usage patterns is essential. This research aims to identify on OTT in Secunderabad. Awareness of OTT services, time spent on OTT, preferred OTT platform, preferred program, watching OTT with companion, penetration of OTT and source of internet have been taken as a independent variables and customers satisfaction on OTT services considered and dependent variable. Further frequency analysis and chi-square test have been used to analyse the data. The results found that consumer watching behaviour associated with their satisfaction level.

A Hierarchical Optimized Resource Utilization based Content Placement (HORCP) model for cloud Content Delivery Networks (CDNs)

Content Delivery Networks (CDNs) have grown in popularity as a result of the ongoing development of the Internet and its applications. The workload on streaming media service systems can be significantly decreased with the help of the cooperative edge-cloud computing architecture. In the traditional works, a different types of content placement and routing algorithms are developed for improving the content delivery of cloud systems with reduced delay and cost. But, the majority of existing algorithms facing complexities in terms of increased resource usage, ineffective delivery, and high system designing complexity. Therefore, the proposed work aims to develop a new framework, named as, Hierarchical Optimized Resource Utilization based Content Placement (HORCP) model for cloud CDNs. Here, the Chaotic Krill Herd Optimization (CKHO) method is used to optimize the resource usage for content placement. Then, a Hierarchical Probability Routing (HPR) model is employed to enable a dependable end-to-end data transmission with an optimized routing path. The performance of the proposed HORCP model is validated and compared by using several performance metrics. The obtained results are also compared with current state-of-the-art methodologies in order to show the superiority of the proposed HORCP model. By using the HORCP mechanism, the overall memory usage of the network is reduced to 80%, CPU usage is reduced to 20%, response is minimized to 2 s, and total congestion cost with respect to the network load level is reduced to 100.

Beyond fact and fiction: Cultural memory and transmedia ethics in Netflix’s The Crown

The aim of this study is to discuss the potential ethical implications of the fictionalization of historical events represented across multiple media platforms – under the powerful umbrella of streaming media services en général and Netflix in particular – to examine the potential impact fictionalization has on what is culturally remembered and what is forgotten. Combining theoretical approaches from transmedia studies and cultural memory, the article addresses possible ethical conundrums involved in the Netflix historical drama series about the reign of Queen Elizabeth II: The Crown. Methodologically, the article is structured as a case study underpinned by the multidimensional analytical model proposed by Erll, chosen to explore how the blurred lines between fact and fiction of the flagship historical drama The Crown could have ethical implications for and impact on what is remembered and what is forgotten regarding recent memories of the British Royal Family. The research findings indicate that a deeper understanding of the conventions of the historical fiction genre, as well as the transmedial ramifications of streaming media productions, could potentially mitigate the ethical implications of The Crown, going above and beyond fact and fiction.

An Analysis of English Jargon Used in MasterChef Indonesia Season 8

This research aimed to know the jargon used in MasterChef Indonesia Season 8 which is broadcasted on tv namely RCTI. In this research, the researcher applied the descriptive qualitative method. The source of the data is the utterances in the conversation between the participants and the judges of MasterChef season 8 . The data of this research is taken from the utterances of the judges and the participants of Masterchef Indonesia season 8 which contains jargon. While the data source of this research is taken from the videos of Masterchef Indonesia on the Vision+ Website namely Visionplus.id. Vision+ is a digital live TV and Video On Demand (VOD) streaming media service owned by MNC Group. The researcher employed a free-of-conversation listening technique and the note-taking technique. This technique is carried out by observing the utterances used in the conversation between the three judges namely, Chef Arnold, Chef Juna, and Chef Renata, and the three participants namely, Adi, Jesselyn, and Nadya of MasterChef Indonesia Season 8 which contains Jargon. The result of this research found 25 jargon used in the conversation between judges and the participants of MasterChef Indonesia season 8. Of the 25 data, 18 jargon was in the form of words and 7 jargon in the form of phrases. This research found some functions of Jargon that were giving a person a sense of belonging to a specific group, making it easier for a person to communicate with their group, and as an effective signal for identification.

A Case Study of How Netflix Adapts Its Development Strategy to the Media System in Canada

In recent years, streaming media services such as Netflix, Spotify, and YouTube have been widely used. Netflix, as a representative platform, is a powerful cultural force rising with the emergence of streaming media technology. Streaming media platforms abandon the linear mode of traditional TV and adopt the new mode of multi-channel interaction and digital production, continuing to contribute its unique advantages to high TV ratings. Netflix, headquartered in the United States, has started its global expansion and entered Canada, France, and other countries. In the process of its expansion, Netflix designed its unique global expansion strategy and obtained high-quality target consumers in various streaming media markets. This study will critically explore how Netflix adapts its development strategy to fit into Canadian media systems and policies. This study argues that in order to meet the requirements of the Canadian government, Netflix has made two prominent changes in its development strategy at the content level. First, Netflix has increased the production of local content in Canada and presented some original content in French. Secondly, Netflix is striving to improve its degree of globalization and breaking geographical restrictions to achieve subscribers’ access to equivalent content around the world.

Enactive Experience for Streaming Media Services

Since the beginning of humankind, storytelling enabled people to understand and shape their impressions of reality. Depicted by Walter R. Fisher, the narrative paradigm encounters the ubiquitous computing dimension, as proposed by Mark Weiser (Fisher 1984, Weiser 1991), that results in the interdisciplinary field of Interactive Digital Narrative (IDN). Departing from the first text-based experimentation in the late 1970s, IDN can be considered a vibrant field wherein different forms of interactive artifacts derived such as Hypertext Fiction, Interactive Installations, Video Game Narrative (Koenitz et al. 2015), and Enactive Cinema (Tikka 2006, 2008). IDN presents a field of inquiry prevailing for over three decades, but the question remains: is it supposed to be strictly entertainment or something else? In response, this paper explores the possibility of implementing an enactive paradigm to design a tailored experience for streaming media services, thus proposing a conceptual, methodological framework for designing a system to be prototyped and tested in accompanying research.

Key Technologies of Media Big Data in-Depth Analysis System Based on 5G Platform

To meet the needs of large-scale users for personalized streaming media services with high speed, low delay, and high quality in a 5G mobile network environment, this paper studies the resource allocation mechanism of streaming media based on a 5G network from the perspective of user demand prediction, which can alleviate the pressure of mobile network, improve the utilization rate of streaming media resources and the quality of user service experience. The augmented reality visualization of large-scale social media data must rely on the computing power of distributed clusters. This paper constructs a distributed parallel processing framework in a high-performance cluster environment, which adopts a loosely coupled organizational structure. Each module can be combined, called, and expanded arbitrarily under the condition of following a unified interface. In this paper, the algebraic method of parallel computing algorithm is innovatively proposed to describe parallel processing tasks and organize and call large-scale data-parallel processing operators, which effectively supports the business requirements of large-scale parallel processing of large-scale spatial social media data and solves the bottleneck of large-scale spatial social media data-parallel processing.

Digital Music Recommendation Technology for Music Teaching Based on Deep Learning

With the rapid development of music streaming media service industry, users can easily hear any song on mobile devices. Internet has become a huge music storage platform. With the development of network and large-scale digital music industry, the acquisition and listening of music are presented to users in a more convenient way. How to find the music loved by users from the massive Internet digital music data has become the key problem and main goal to be solved in the field of music information retrieval. Personalized music recommendation system can accurately find and push songs that users may be interested in from tens of millions of huge music libraries according to users’ information under the condition that users only have vague demand for listening to songs. Relying on the traditional search method to find the music that you are interested in can no longer meet the needs of users, so the current music recommendation system needs to dig out the music that has no clear needs in the long tail to help people find their favorite songs.

Digital streaming media distribution and transmission process optimisation based on adaptive recurrent neural network

With the rapid growth of streaming media services, users have higher and higher requirements for streaming media transmission rates and network experience. Experiments show that in multi-path streaming media transmission services, supporting streaming services with high bandwidth and low latency is a very challenging task. Based on this, this article explores and establishes a digital streaming media distribution and transmission process optimisation model based on an adaptive recurrent neural network. This paper proposes a priority-aware streaming media multi-path data scheduling mechanism, which allows applications to distinguish the relative importance of data and ensure that high-priority data is transmitted on the path with the best quality. The adaptive recurrent neural network algorithm is used in the optimisation process of the distribution and transmission process. By simulating the real environment, it is verified that the model can improve the efficiency of distribution resources and reduce the access rejection rate and data jitter caused by interruption.

English Shortened Words On Tv Shows Title

This study deals with the English word-formation process that is focusing on word shortening: clipping, blending, acronym, and abbreviation. Furthermore, this study is aimed at identifying the word types, creation, and development as well as the meaning of the new shortened words, the most shortened words produced, and the reasons for creating shortened words as vocabulary development. This study uses a qualitative research design to describe the study's problems. The data are in the form of TV Shows titles for the last fifteen years which use shortened words. The program was aired between 2005-2020 on TV channels and Streaming Media Services. The data are presented in the form of a table. The results of the study show that the creation and the development of shortened words are varied with the most productive form being an abbreviation and followed by the other forms namely blending, clipping and acronym respectively. There are various types of shortened words on each form. Some reasons are identified for making the words shorter. 1). It is more efficient and saves time in speaking; 2). It is more interesting and eye-catching; 3). Reducing the mispronounced words. In conclusion, shorter TV Shows title with unique creations can help the audiences to remember them easily.

Next-Generation OTT Distribution Architecture Supporting Multicast-Assisted ABR (mABR) and HTTP/3 Over QUIC

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">The potential audience for streaming media services is massive, but satisfying that kind of demand poses a huge technical challenge. Even if existing content delivery networks (CDNs) were capable of distributing such loads, the costs at that scale would remain beyond the monetary capabilities of any broadcaster. By reducing transmission costs associated with content delivery at scale, broadcasters would pay less to the CDNs, making the content cheaper to the end user. In traditional broadcasting technologies, a majority of commercially available content distribution architectures are based on a paradigm rooted in linear broadcast services, having a very basic media service composition, solely focusing on the delivery of content interpretable on a vast amount of compatible TV sets with built-in tuners.While this helped transform the industry by facilitating the transition from analogue to digital broadcast content distribution, it now leaves content providers and broadcast network operators wondering how they can remain relevant in the age of web and internet streaming. This article will take its point of departure in evolved content distribution systems and the resulting system architectures for next-generation broadcast over-the-top (OTT) live and on-demand streaming. It will focus on a solution for efficient and secure transport of well-known low-latency streaming protocols by employing QUIC as a primary transport protocol for the industry leading IP multicast architectures supporting multicast-assisted adaptive bitrate (mABR) streaming, enabled by novel HTTP/3 server push techniques. At scale, the solution could significantly reduce the amount of open streaming sessions, improving the scalability of existing audio–video streaming architectures, and reducing the wastage of scarce bandwidth. Placing physical gateway boxes within users’ home network that fully support QUIC and multicast content reception can reduce the prevalent lack of user agent support for reception of multicast QUIC content. This new model with the core transport protocol based on QUIC will be the foundation for unified content distribution architectures, spanning internet streaming, IPTV, 5G, and the latest ATSC and DVB physical layers, allowing for an efficient, IP-based delivery of linear content to thin clients.</i>

What do you pay for all you can eat? Pricing practices and strategies in streaming media services

ABSTRACT The role that prices play for streaming media services is yet to be comprehensively and comparatively analysed with an international outlook. In this paper, we present results on music and video streaming prices, based on analysis of a data set of prices and information on pricing models and price developments. The data set spans 2008 to 2019, five streaming services, and nine countries across four continents. We provide comparative overviews of real prices and developments over the years studied and purchasing power-adjusted pricing across countries, as well as country-by-country assessments. Finally, our results show significant divergences in the pricing practices and strategies of Spotify and Netflix. The access-based pricing structure of streaming comes forth as highly contingent on demand-side factors and competitive structures.

Design and Implementation of Adaptive Speech Control Intelligent Conference Room Based on Intelligent Speech Technology

With the development of multimedia and network technology, more and more enterprises use network conference room system. This paper implements a multi-functional intelligent conference room system based on streaming media server. This system is developed on the basis of the prototype conference system. In addition to the functions of the traditional conference system, it can also access the video monitoring system and allow intelligent mobile terminals to join the conference room. The intelligent conference room sends management commands to the user through the interface to realize the management function of the voice conference room. At the same time, the video information can be exchanged through the video processing module. Finally, the mobile terminal video access and conference room video extrapolation function are realized. The experimental data show that the intelligent conference room can improve the recognition of conference information. This provides a reference for the design and implementation of adaptive speech control intelligent conference room.

Intelligent Conference Room System Model Based on Agent Driver

The traditional conference room system in the function realization is relatively single, more and more can not meet the growing needs of people. This paper designs and implements an intelligent conference room system based on agent driver. The intelligent conference room adds conference room management function. Add user rights, status management, information publishing and conference room locking functions to the prototype conference room system. At the same time, the system adds intelligent video playback function. Through red5 streaming media server and Xuggle Codec, the video information of different formats is converted into RTMP format information and sent to all clients. This realizes the video file sharing and playing function. The system also realizes the access function of holographic monitoring system. Through the cross search between the intelligent conference room system and the database of the monitoring system, the user can customize the camera list function. The system uses proxy server to realize the seamless connection between the intelligent conference room system and the monitoring system, so as to realize the access function of the monitoring system. The experimental data show that the intelligent conference room can improve the recognition of conference information. This provides a reference for the design and implementation of adaptive speech control intelligent conference room.

Over-The-Top (OTT) Media Application using Flutter

An Over-The-Top (OTT) Media is a streaming media service offered directly to the viewers through internet. The OTT service providers provides the program types like news, movies, daily soaps, web shows as well as cable TV. Nowadays, the businesses all over the world are offering an unbelievable amount of variety in media content and the traditional way of broadcasting on cable TV cannot efficiently represent or contain the wide range of media content. Considering these problems, we are making an OTT application for Next Screen Productions. So, they can produce their media content on internet through this application. We will be using Flutter, which is an open-source User Interface (UI) toolkit and Dart Programming Language which are created by Google. For storage of data, we are using Firebase. For recommendation of content, recommendation algorithms will be used.