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The purpose of this paper is to explore the impact of the internet as an emerging video distribution platform and to analyze the corresponding emerging economic and legal issues.

The paper describes the historical evolution of the business model for the television business and, using a layered model of communications, identifies issues that accompany the growth of the internet as both a complement and a competitor to existing distribution platforms.

As video is increasingly distributed using the internet, a new business model is developing that possesses characteristics such as, unbundled content, irrelevance of geographic exclusivity, irrelevance of structured time or structured release, and new business combinations, alliances, and ventures.

Public policy makers throughout the world are faced with the need to update, replace, and/or revise existing regulations that govern the relationships between and among traditional video distribution platforms, such as over‐the‐air and cable/satellite providers, as the internet emerges as a viable video distribution platform.

The paper provides a summary of key economic (such as the network‐affiliate relationship) and regulatory issues (such as leveraging economic power in the physical and logical layers into the applications and content layers and the extension of content regulation) that are developing as the internet emerges as a video distribution platform.

Video distribution over the internet leads to heated net‐neutrality related debates between network operators and over‐the‐top application providers. The purpose of this paper is to analyze this debate from a new perspective that takes into account all of the assets that companies try to exploit in the so‐called battle for eyeballs in video distribution.

The systematic value chain analysis is used to determine the points along the value chain where net neutrality interacts with video distribution. The inputs to the analysis are the existing and proposed policy measures for net neutrality in Europe and in the USA, and a number of net neutrality incidents that have led to discussions earlier.

The paper finds that the current and proposed policy measures aimed at net neutrality each contribute to a certain extent to their intended effects. However, the analysis also shows that they are likely to lead to new debates in other parts of the value chain, as players try to compensate the loss of influence or revenue streams by rearranging the ways in which they exploit their assets.

Further and new debates are expected in the areas of peering and interconnection, distribution of resources between over‐the‐top and managed services and the role of devices with tightly linked search engines, recommendation systems and app stores.

The new perspectives offered by our value‐chain based analysis are valuable for policy makers who aim to promote net neutrality and simultaneously stimulate competition and innovation throughout the value chain.

The Head of Educational Technology Division at North East London Polytechnic discusses CCTV systems.

Over the years, the impact of Nollywood on the promotion and development of Nigerian culture has cut across geographical boundaries. In terms of film production quality, the industry has made significant progress, even though there remains great room for improvement. In recent times, output from the industry gained global recognition, with films such as Lion Heart, King of Boys and Chief Daddy, to mention a few, attaining great landmarks in the film world in 2019. A significant feature in the Nigerian film industry is the wealth of diversity which reflects the true Nigerian nation. The involvement of Igbo indigenes in the Nollywood industry has helped put the Nollywood ideology into the consciousness of Nigerians and the world. Therefore, this chapter examines the relevance of the Igbo traditional business model in sustaining the dominance of Igbos in the distribution network of films in the Nigerian film industry, also known as Nollywood.

In the last 15 years, Nigeria has developed a feature film industry based on video and video compact disc distribution which currently produces over 600 films a year making Nigeria (in terms of numbers) one of the largest film producing nations in the world. English language films (Nollywood) have become a dominant media form all over the African continent. The purpose of this paper is to evaluate the implications of this phenomenon for marketing video film in Africa, and examine the structure of the industry.

Using the case study method, the paper examines how a technological innovation such as video home system (VHS) is being used in ways never imagined or intended by the innovators. Consequently, the emergence and proliferation of inexpensive VHS video tape recorders have led to the growth of video‐based movie production in several African countries, especially Nigeria.

It is hoped that findings of this case study will provide the basis for future scholarly analysis of the economy of the Nollywood industry, and also provide a template for practitioners to engage in future research in video film in Africa.

There have been no studies of Nollywood published to date.

As user-generated content (UGC) is entering the news cycle alongside content captured by news professionals, it is important to detect misleading content as early as possible and avoid disseminating it. The purpose of this paper is to present an annotated dataset of 380 user-generated videos (UGVs), 200 debunked and 180 verified, along with 5,195 near-duplicate reposted versions of them, and a set of automatic verification experiments aimed to serve as a baseline for future comparisons.

The dataset was formed using a systematic process combining text search and near-duplicate video retrieval, followed by manual annotation using a set of journalism-inspired guidelines. Following the formation of the dataset, the automatic verification step was carried out using machine learning over a set of well-established features.

Analysis of the dataset shows distinctive patterns in the spread of verified vs debunked videos, and the application of state-of-the-art machine learning models shows that the dataset poses a particularly challenging problem to automatic methods.

Practical limitations constrained the current collection to three platforms: YouTube, Facebook and Twitter. Furthermore, there exists a wealth of information that can be drawn from the dataset analysis, which goes beyond the constraints of a single paper. Extension to other platforms and further analysis will be the object of subsequent research.

The dataset analysis indicates directions for future automatic video verification algorithms, and the dataset itself provides a challenging benchmark.

Having a carefully collected and labelled dataset of debunked and verified videos is an important resource both for developing effective disinformation-countering tools and for supporting media literacy activities.

Besides its importance as a unique benchmark for research in automatic verification, the analysis also allows a glimpse into the dissemination patterns of UGC, and possible telltale differences between fake and real content.

The purpose of this study/paper is to propose a mathematical model that is able to predict the future popularity based on the view count of a particular YouTube video. Since the emergence of video-sharing sites from early 2005, YouTube has been pioneering in its performance and holds the largest share of internet traffic. YouTube plays a significant role in popularizing information on social network. For all social media sites, viewership is an important and vital component to measure diffusion on a video-sharing site, which is defined in terms of the number of view counts. In the era of social media marketing, companies demand an efficient system that can predict the popularity of video in advance. Diffusion prediction of video can help marketing firms and brand companies to inflate traffic and help the firms in generating revenue.

In the present work, viewership is studied as an important diffusion-affecting parameter pertaining to YouTube videos. Primarily, a mathematical diffusion model is proposed to predict YouTube video diffusion based on the varying situations of viewership. The proposal segregates the total number of viewers into two classes – neoterics viewers, i.e. viewers those viewing a video on a direct basis, and followers, i.e. viewers those watching under the influence.

The approach is supplemented with numerical illustration done on the real YouTube data set. Results prove that the proposed approach contributes significantly to predict viewership of video. The proposed model brings predicted viewership and its classification highly close to the true value.

Thereby, a behavioral rationale for the modeling and quantification is offered in terms of the two varied and yet connected classes of viewers – “neoterics” and “followers.”

The purpose of this paper is to introduce Commercial Mobile Video Service Trial (TOEST) of Korea Telecom (KT), relaying experience related to the implementation of mobile video service for portable devices to libraries and information management organizations that are interested in this service.

Research data used were collected from internal materials such as unpublished project reports, RFI, RFP, etc. written throughout the process of implementing projects. The information also draws on the author's experience and involvement in TOEST trial between 2005 and 2007.

From the technical perspective, it was confirmed that technical advancements and environments that enable the implementation of mobile video service for portable devices have been fully established. The technical areas that need to be further improved are the advancements of battery capacity, low‐power consumption technology, and functional improvement of the I/O slot in portable devices.

TOEST provides only download type service for portable devices such as PDAs and PMPs. Streaming type service for mobile phones has been performed only for the purpose of internal tests.

For information management organizations and libraries, mobile video service for portable devices is cutting‐edge technical service that can provide new customer value to users. Also, it is possible to apply profit models from the commercial point of view.

The paper introduces various technical and environmental elements as specifically as possible, including practical things that we have experienced during the course of implementing mobile video service systems for portable devices. Experience in TOEST development would be helpful to information management organizations and libraries planning to provide mobile video service for portable devices.

The technique for hiding confidential data in specific digital media by enhancing the graphical contents is known as watermarking. The dissemination of information over a secure channel is essential for multimedia applications. The purpose of this study is to develop a secure communication approach for OFDM system.

This paper exploits a secure communication in the orthogonal frequency division multiplexing (OFDM) system using wavelet-based video watermarking technique. In this work, the Chronological-MS algorithm is used for securing the data communication in the OFDM system. Here, the secret message is embedded in video frames using wavelet transform for hiding sensitive information and the hidden information is transmitted over the OFDM system. The Chronological-MS algorithm is used for selecting the optimal regions in the video for embedding secret message. In embedding phase, wavelet coefficients are obtained by applying wavelet transform on the frame for embedding the secret message. Meanwhile, in extraction phase, the inverse wavelet transform is applied to extract the secret message.

Considering number of frames, the maximum Peak signal-to-noise ratio (PSNR) value is attained by proposed Wavelet + Chronological MS method for Video 2 with value 73.643 dB, respectively. Meanwhile, the minimum mean squared error (MSE) attained by the proposed Wavelet + Chronological MS method is when considering number of frames with MSE values as 0.001 for both Videos 1 and 2. The minimum bit error rate (BER) value is attained by the proposed method with value 0.00009 considering random noise with Video 1. Thus, the proposed Wavelet + Chronological MS have shown better results than the existing techniques.

This work proposes a wavelet-based watermarking method using Chronological-MS, for initiating secured communication over an OFDM. One of the main advantages of wavelets is that they offer a simultaneous localization in time and frequency domain. Hence, the proposed method offers the highly secured data transmission over the OFDM.

The purpose of this paper is to identify key factors for generating new knowledge creation in the fields of high tech requiring the integration of a variety of technologies and business models.Design/methodology/approach – The case study will center on NTT DoCoMo, Japan's largest mobile communications carrier, where the author has had extensive experience in service development. The author has collected rich data related to development processes and uses the grounded theory‐based approach to analyze seven concepts and the cause and effect relationships among them.Findings – In a short period of time, a strategic team at DoCoMo formed strategic communities (SCs) outside the company including customers, and then formed a network that transcended the SCs' boundaries.Orginality/value – The synthesizing capability of the leadership‐based SCs comprising community leaders inside the networked SCs enabled DoCoMo to build new business models aimed at customers and achieve successful new product and service development ahead of its competitors.