Scene extraction in motion pictures

This paper addresses the challenge of bridging the semantic gap between the rich meaning users desire when they query to locate and browse media and the shallowness of media descriptions that can be computed in today\u27s content management systems. To facilitate high-level semantics-based content annotation and interpretation, we tackle the problem of automatic decomposition of motion pictures into meaningful story units, namely scenes. Since a scene is a complicated and subjective concept, we first propose guidelines from fill production to determine when a scene change occurs. We then investigate different rules and conventions followed as part of Fill Grammar that would guide and shape an algorithmic solution for determining a scene. Two different techniques using intershot analysis are proposed as solutions in this paper. In addition, we present different refinement mechanisms, such as film-punctuation detection founded on Film Grammar, to further improve the results. These refinement techniques demonstrate significant improvements in overall performance. Furthermore, we analyze errors in the context of film-production techniques, which offer useful insights into the limitations of our method

Scenarios for the Internet Migration of the Television Industry

All the conditions for the television industry’s migration to the Internet are now in place. While this migration will be gradual, it will have a deep-seated impact on the industry:•the exclusive rights model will no longer be the standard;•some consumers will abandon traditional managed networks;•a globalization trend will be sparked, to the benefit of the major rights holders. Unlike the music and print media industries, the TV industry is gaining a strong position on the Web. As a result, television is poised to play a central role in video services. This offensive strategy will likely pay off down the line, but does not entirely eliminate the possibility of destroying value. There are structural reasons for this, including a fiercely competitive online advertising market and a lack of control over program circulation. Far from being simply transitory, the 2009-2010 economic downturn marks the beginning of a decade of restructuring for the TV industry. This new period will begin with an overall decline in the sector’s resources before increasingly varied consumption patterns spur a new period of growth. The decade running from 2010 to 2020 will also be a period that focuses on cost control, with the industrialization of TV production that will depart once and for all from its historical model, i.e., film. This migration to the Web poses a threat to the European industry in particular. A reassessment of the television industry’s regulatory strategy appears both necessary and urgent, and will involve the creation of integrated pan-European conglomerates.Television, video, networks, on-demand, connected devices, advertising, pay-TV.

Outsourcing in the UK television industry: A global value chain analysis

The aim of this study is twofold. First, it identifies outsourcing as a growing trend in the media industries: as leading media corporations integrate vertically and invest in segments that increase their asset specificity, they are also withdrawing from other segments and delegating a growing number of tasks to suppliers. This article uses the United Kingdom as a case study to demonstrate that while broadcasters are investing in TV content production, they are also stepping away from technology investments and media delivery tasks. It is a significant phenomenon that contributes to redefine the scope of companies whose engineering know-how was part of their core activity. Then, this article analyses the consequences of outsourcing as it contributes to vertical disintegration and the formation of global value chains in the media industries. It is also creating power asymmetries between lead firms and suppliers that have an impact on the type of M&A activities these companies pursue . The second contribution is theoretical in scope, as this article aims to state a case for GVC analysis in media and communication studies, showing the benefits of placing the evolution of the media industries in the context of long-term trends in the world economy

Speaker segmentation and clustering

This survey focuses on two challenging speech processing topics, namely: speaker segmentation and speaker clustering. Speaker segmentation aims at finding speaker change points in an audio stream, whereas speaker clustering aims at grouping speech segments based on speaker characteristics. Model-based, metric-based, and hybrid speaker segmentation algorithms are reviewed. Concerning speaker clustering, deterministic and probabilistic algorithms are examined. A comparative assessment of the reviewed algorithms is undertaken, the algorithm advantages and disadvantages are indicated, insight to the algorithms is offered, and deductions as well as recommendations are given. Rich transcription and movie analysis are candidate applications that benefit from combined speaker segmentation and clustering. © 2007 Elsevier B.V. All rights reserved

Survey of Video Encryption Algorithms

Research on security of digital video transmission and storage has been gaining attention from researchers in recent times because of its usage in various applications and transmission of sensitive information through the internet. This is as a result of the swift development in efficient video compression techniques and internet technologies. Encryption which is the widely used technique in securing video communication and storage secures video data in compressed formats. This paper presents a survey of some existing video encryption techniques with an explanation on the concept of video compression. The review which also explored the performance metrics used in the evaluation and comparison of the performance of video encryption algorithms is being believed to give readers a quick summary of some of the available encryption techniques

Investigating the impact of social media on the development of sports businesses

Sports organizations use social media to create opportunities to increase productivity, market share, market value and profitability. Mass media, especially cyberspace, play a major role in the field of social change in the present era. One of the best features of cyberspace marketing for today's businesses and job creation in the field of sports is that there is not much barrier to entering and using their facilities. Therefore, the present study focuses on the role of social media in the revenue development of sports businesses. The study population in this study is PhD students in sports management and sports media experts in Iran in this field. Samples were identified purposefully using random sampling. Data collection tools were interviews, and data analysis tools were customary content analysis and paradigmatic grounded theory. Based on the findings of interviews with participants, there are a number of factors in sports that act as requirements or barriers to the use of social media in the revenue development of the sports industry. Factors such as; Experiences in the field of using social media, scientific view on the use of social media, paying attention to the interests and standards of common professions in the world and activities in the virtual world and social media play an important role in generating revenue through the use of social media in industry. They have exercise. The results of the present study showed that the development of appropriate cultural programs can increase knowledge and awareness, improve the intellectual and cultural level of the audience. Also, based on the analysis of the results, marketing through social media has potentials that can enable economic development in the sports industry. Social media marketing through revenue generation and cost reduction can be an effective step towards improving financial problems and the sports industry

A Survey of research in Deep Learning for Robotics for Undergraduate research interns

Over the last several years, use cases for robotics based solutions have diversified from factory floors to domestic applications. In parallel, Deep Learning approaches are replacing traditional techniques in Computer Vision, Natural Language Processing, Speech processing, etc. and are delivering robust results. Our goal is to survey a number of research internship projects in the broad area of 'Deep Learning as applied to Robotics' and present a concise view for the benefit of aspiring student interns. In this paper, we survey the research work done by Robotic Institute Summer Scholars (RISS), CMU. We particularly focus on papers that use deep learning to solve core robotic problems and also robotic solutions. We trust this would be useful particularly for internship aspirants for the Robotics Institute, CMUComment: This document is a draft version at this stage and the final version will be created soo

Nataría Portuguesa: a business plan for Argentina

This thesis consists on a Business Plan for the Portuguese custard tarts in Argentina. Nataría Portuguesa is already being implemented and so, this project will serve as a support for the same. After developing the literature review, a description of the business idea was made, followed by a macro-environmental analysis of the country and an analysis of the baked industry specifically. Afterwards, the Business Model Canvas was applied to connect the key elements of the business. The brand positioning was defined to reach target consumers and a communication plan was described. In the end, a financial contextualization was also conducted

Designing a sports platform for RTP, to increase sports´ content offer - development of a digital sports platform that offers an interactive experience

The project focuses on RTP ́s sports offer with the purpose of understanding how can the company increase the content offer, by developing a digitals ports platform. In order to reach this goal, several analyses were performed, addressing the external and internal environment, by identifying the opportunities and threats of media and sports industries and pointing the strengths and weaknesses of RTP. In order to answer the over riding question, five major recommendations were developed regarding product, placement, promotion, and people