Made available in DSpace on 2016-04-25T16:44:39Z (GMT). No. of bitstreams: 1 Ricardo Araujo de Souza.pdf: 2051956 bytes, checksum: f4c2d664e9ce8f0adbfba71cab03820f (MD5) Previous issue date: 2014-04-11 / This research believes that a relationship exists between the current paradigm crisis in Marketing with a one-dimensional and one-sided view of the relationship of the companies to the market and that theories such as Marketing and Service Co-creation already point to a multidimensional and bilateral vision between the company market and consumers. Even with the new signaling theories to a broader and bilateral, there is a vision myopia , especially in relation to the object of study of the National Marketing. The research believes that this object of study should be the society of hyperconsumption , construct designed by postmodern thinkers . With this construct various multidimensional , complex and dialogical marketing phenomena can be contextualized, such as Viral Marketing. This research then bases its theoretical basis in a model aligned with postmodern ideas about consumerism then to analyze the phenomenon of viral videos on Youtube , with special emphasis on the comparison between most viewed national and international viral video ads / Esta pesquisa acredita que existe uma relação entre a atual crise paradigmática do Marketing e a visão unidimensional e unilateral do relacionamento das empresas para com o mercado e que teorias como o Marketing de Serviço e a Cocriação já sinalizam para uma visão multidimensional e bilateral entre a empresa o mercado e os consumidores. Mesmo com as novas teorias sinalizando para uma visão mais ampla e bilateral, ainda ocorre uma miopia, principalmente em relação ao objeto de estudo do Marketing Nacional. A pesquisa acredita que este objeto de estudo deve ser a sociedade de hiperconsumo, constructo concebido pelos pensadores pós-modernos. Com este constructo vários fenômenos multidimensionais, dialógicos e complexos podem ser contextualizados, como por exemplo, o Marketing Viral. Esta pesquisa então fundamenta sua base teórica em um modelo alinhado com idéias pós-modernas sobre o consumismo para em seguida analisar o fenômeno dos vídeos virais no Youtube, com ênfase especial na comparação entre os vídeos publicitários virais nacionais e internacionais mais vistos

Depression contributes to a host of health problems resulting in disability, pain, and death. An important aspect of preventing and reducing the harmful effects of depression is educating the public about this pervasive mental disorder, including the importance of early detection and effective treatment. During the past 20 years, many people have turned to the Internet in general and social media in particular to learn about health. Current research has examined YouTube coverage of some mental health topics, but no published research describing YouTube coverage of depression was identified. The purpose of this study was, therefore, to describe the most viewed YouTube about depression with respect to source, speaker, format, purpose, number of views, length, upload year, and content. A cross-sectional design was used to examine the 394 most viewed YouTube videos on depression. Collectively, these 394 videos were viewed 155,349,029 times. Three sources—consumers, internet-based video, and nongovernmental agencies—accounted for approximately 85% of the most frequently viewed videos and garnered 93% of the total views (n=144,506,467). Consumers uploaded almost half of all the most widely viewed videos (n=193, 48.98%), and these videos had the highest cumulative view count (74,391,500 views). Content mainly focused on signs and symptoms, which were covered in more than 75% of the videos (n=300, 76.14%), and promotion of healthful behaviors and protective factors, which was covered in 68.52% (n=270). Slightly more than one-half of the videos explicitly mentioned risk factors (n=200), and slightly less than one-half provided general information about depression (n=189). Between 20% and 35% of the videos included content related to suicide (23.10%), stigma (22.08%), psychotherapy (28.93%), medication (31.22%), and alternative therapies (30.96%). Content related to screening was only included in 9 of the most widely videos (2.28%). While good sleep hygiene was only mentioned in 28 videos (7.11%), collectively, these videos received over 16 million views. Another main finding was that governmental agencies have not produced videos that are among those most widely viewed. Given YouTube’s wide reach, they should, however, be using this media channel to help inform the public.

In 2016, over 11 million people misused prescription opioids and the economic costs were estimated to be over $500 billion. In the same year, opioids killed 42,000 people, which was more than any year on record. These data highlight the need to reduce the harm caused to individuals, families, communities, and the nation. One element of a more comprehensive national strategy is increasing awareness among citizens, physicians and policy makers. Given its widespread reach YouTube can be very helpful. There is a large literature on the opiate epidemic, but no published studies describing the sources or content of YouTube videos on the opiate epidemic were identified. This study was, therefore, intended to help fill this gap in current knowledge. YouTube was searched using two key terms, “opiate addiction” and “opioids.” The results were sorted by number of views, and the URL, title, and number of views were saved for videos with a minimum of 1,500 views. Videos were then screened for the inclusion and exclusion criteria. The remaining sample comprised 309 videos. Collectively, these 309 videos were viewed 44,693,887 times. The results revealed the sources that were most viewed and the nature of content that was and was not likely to be covered. The two main sources of videos were Internet Based and Television news/Entertainment. Compared with videos with health professions as the main speaker, those featuring consumers garnered almost 10 times as many cumulative views (30.35%versus 3.24%). Government organizations uploaded 11 videos (< 4%), collectively garnering 343,983 views (less than 1% of cumulative views). YouTube represents an important opportunity for health promotion and disease prevention regarding the opiate epidemic. However, improved understanding about ways to communicate accurate and useful information in ways that attract viewers is needed. Recommendations for research, policy and practice are presented relevant to how YouTube can help mitigate the harm caused by the opiate epidemic.

Mathematics education researchers have rarely focused on the effects of popular culture on young people’s perceptions of mathematics. Such research is needed to determine what messages students may be receiving; and furthermore, how students may be relating to these messages and if there are any differences by age, ability, ethnicity, or gender. These questions are critically important to the field – its research contributes to the better understanding of how young people are influenced by depictions of mathematics in popular culture. Research questions were explored relating to popular culture, media, and mathematics investigating whether secondary school students receive messages about mathematics from popular culture, the content of those messages, and how young people relate to those messages. An instrument was designed and developed to elicit students’ responses to videos about mathematics and other popular culture artifacts. Of particular interest was determining if perceptions of mathematics in popular culture differ by gender, race, and other demographic factors. There appear to be common messages depicted about mathematics in popular culture; for example, “Asian students are good at math,” “math is hard,” “math is irrelevant to the real world,” “boys are smarter than girls at math,” as well as others. Overall, young people thought popular culture “only shows nerds being good at mathematics” and that “cool kids are not often shown mathematically capable.” Girls and boys showed differences of the domains “math is hard” and “math is fun.” Young people from different ethnic groups had varying perceptions of “other subjects are valued more than mathematics” and “it is cool to be smart in math,” but had similar perceptions of “math is not a skill one is born with.” There is substantial work in this area in the humanities, but not in mathematics, and it is anticipated that researchers and practitioners alike will welcome the results of this research.

Wong Chi Hang. / Thesis submitted in: October 2005. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2006. / Includes bibliographical references (leaves 89-94). / Abstracts in English and Chinese. / Abstract --- p.ii / 摘要 --- p.iii / Acknowledgement --- p.iv / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Literature Review --- p.5 / Chapter 2.1 --- LyricAlly --- p.5 / Chapter 2.2 --- Singing Voice Detection --- p.6 / Chapter 2.3 --- Singing Transcription System --- p.7 / Chapter 3 --- Background and System Overview --- p.9 / Chapter 3.1 --- Background --- p.9 / Chapter 3.1.1 --- Audio Mixing Practices of the popular music industry --- p.10 / Chapter 3.1.2 --- Cantonese lyric writer practice --- p.11 / Chapter 3.2 --- System Overview --- p.13 / Chapter 4 --- Vocal Signal Enhancement --- p.15 / Chapter 4.1 --- Method --- p.15 / Chapter 4.1.1 --- Non-center Signal Estimation --- p.16 / Chapter 4.1.2 --- Center Signal Estimation --- p.17 / Chapter 4.1.3 --- Bass and drum reduction --- p.21 / Chapter 4.2 --- Experimental Results --- p.21 / Chapter 4.2.1 --- Experimental Setup --- p.21 / Chapter 4.2.2 --- Results and Discussion --- p.24 / Chapter 5 --- Onset Detection --- p.29 / Chapter 5.1 --- Method --- p.29 / Chapter 5.1.1 --- Envelope Extraction --- p.30 / Chapter 5.1.2 --- Relative Difference Function --- p.32 / Chapter 5.1.3 --- Post-Processing --- p.32 / Chapter 5.2 --- Experimental Results --- p.34 / Chapter 5.2.1 --- Experimental Setup --- p.34 / Chapter 5.2.2 --- Results and Discussion --- p.35 / Chapter 6 --- Non-vocal Pruning --- p.39 / Chapter 6.1 --- Method --- p.39 / Chapter 6.1.1 --- Vocal Feature Selection --- p.39 / Chapter 6.1.2 --- Feed-forward neural network --- p.44 / Chapter 6.2 --- Experimental Results --- p.46 / Chapter 6.2.1 --- Experimental Setup --- p.46 / Chapter 6.2.2 --- Results and Discussion --- p.48 / Chapter 7 --- Lyric Feature Extraction --- p.51 / Chapter 7.1 --- Features --- p.52 / Chapter 7.1.1 --- Relative Pitch Feature --- p.52 / Chapter 7.1.2 --- Time Distance Feature --- p.54 / Chapter 7.2 --- Pitch Extraction --- p.56 / Chapter 7.2.1 --- f0 Detection Algorithms --- p.56 / Chapter 7.2.2 --- Post-Processing --- p.64 / Chapter 7.2.3 --- Experimental Results --- p.64 / Chapter 8 --- Lyrics Alignment --- p.69 / Chapter 8.1 --- Dynamic Time Warping --- p.69 / Chapter 8.2 --- Experimental Results --- p.72 / Chapter 8.2.1 --- Experimental Setup --- p.72 / Chapter 8.2.2 --- Results and Discussion --- p.74 / Chapter 9 --- Conclusion and Future Work --- p.82 / Chapter 9.1 --- Conclusion --- p.82 / Chapter 9.2 --- Future Work --- p.83 / Chapter A --- Publications --- p.85 / Chapter B --- Symbol Table --- p.86 / Bibliography --- p.89

A compressão de vídeo é um tema extremamente relevante no cenário atual, principalmente devido ao crescimento significativo da utilização de vídeos digitais. Sem a compressão, é praticamente impossível enviar ou armazenar vídeos digitais devido à sua grande quantidade de informações, inviabilizando aplicações como televisão digital de alta definição, vídeo conferência, vídeo chamada para celulares etc. O problema vem se tornando maior com o crescimento de aplicações de vídeos de alta definição, onde a quantidade de informação é consideravelmente maior. Diversos padrões de compressão de vídeo foram desenvolvidos nos últimos anos, todos eles podem gerar grandes taxas de compressão. Os padrões de compressão de vídeo atuais obtêm a maior parte dos seus ganhos de compressão explorando a redundância temporal, através da estimação de movimento. No entanto, os algoritmos de estimação de movimento utilizados atualmente não consideram as variações nas características dos vídeos de alta definição. Neste trabalho uma avaliação da estimação de movimento em vídeos de alta definição é apresentada, demonstrando que algoritmos rápidos conhecidos, e largamente utilizados pela comunidade científica, não apresentam os mesmos resultados de qualidade com o aumento da resolução dos vídeos. Isto demonstra a importância do desenvolvimento de novos algoritmos focados em vídeos de altíssima definição, superiores à HD 1080p. Esta tese apresenta o desenvolvimento de novos algoritmos rápidos de estimação de movimento, focados na codificação de vídeos de alta definição. Os algoritmos desenvolvidos nesta tese apresentam características que os tornam menos suscetíveis à escolha de mínimos locais, resultando em ganhos significativos de qualidade em relação aos algoritmos rápidos convencionais, quando aplicados a vídeos de alta definição. Além disso, este trabalho também visa o desenvolvimento de arquiteturas de hardware dedicadas para estes novos algoritmos, igualmente dedicadas a vídeos de alta definição. O desenvolvimento arquitetural é extremamente relevante, principalmente para aplicações de tempo real a 30 quadros por segundo, e também para a utilização em dispositivos móveis, onde requisitos de desempenho e potência são críticos. Todos os algoritmos desenvolvidos foram avaliados para um conjunto de 10 sequências de teste HD 1080p, e seus resultados de qualidade e custo computacional foram avaliados e comparados com algoritmos conhecidos da literatura. As arquiteturas de hardware dedicadas, desenvolvidas para os novos algoritmos, foram descritas em VHDL e sintetizadas para FPGAs e ASIC, em standard cells nas tecnologias 0,18μm e 90nm. Os algoritmos desenvolvidos apresentam ganhos de qualidade para vídeos de alta definição em relação a algoritmos rápidos convencionais, e as arquiteturas desenvolvidas possuem altas taxas de processamento com baixo consumo de recursos de hardware e de potência. / Video compression is an extremely relevant theme in today’s scenario, mainly due to the significant growth in digital video applications. Without compression, it is almost impossible to send or store digital videos, due to the large amount of data that they require, making applications such as high definition digital television, video conferences, mobiles video calls, and others unviable. This demand is increasing since there is a strong growth in high definition video applications, where the amount of information is considerably larger. Many video coding standards were developed in the last few years, all of them can achieve excellent compression rates. A significant part of the compression gains in the current video coding standards are obtained through the exploration of the temporal redundancies by means of the motion estimation process. However, the current motion estimation algorithms do not consider the inherent variations that appear in high and ultra-high definition videos. In this work an evaluation of the motion estimation in high definition videos is presented. This evaluation shows that some well know fast algorithms, that are widely used by the scientific community, do not keep the same quality results when applied to high resolution videos. It demonstrates the relevance of new fast algorithms that are focused on high definition videos. This thesis presents the development of new fast motion estimation algorithms focused in high definition video encoding. The algorithms developed in this thesis show some characteristics that make them more resilient to avoid local minima, when applied to high definition videos. Moreover, this work also aims at the development of dedicated hardware architectures for these new algorithms, focused on high definition videos. The architectural development is extremely relevant, mainly for real time applications at 30 frames per second, and also for mobile applications, where performance and power are critical issues. All developed algorithms were assessed using 10 HD 1080p test video sequences, and the results for quality and computational cost were evaluated and compared against known algorithms from the literature. The dedicated hardware architectures, developed for the new algorithms, were described in VHDL and synthesized for FPGA and ASIC. The ASIC implementation used 0.18μm and 90nm CMOS standard cells technology. The developed algorithms present quality gains in comparison to regular fast algorithms for high definition videos, and the developed architectures presents high processing rate with low hardware resources cost and power consumption.

Introdução: A propagação de conhecimentos essenciais nos cuidados necessários aos indivíduos com diabetes mellitus pode influenciá-los nas suas capacidades para desenvolver o autocuidado, primordiais à manutenção da qualidade de vida. Vídeos, valorizados por transportarem o cotidiano para o momento do aprendizado, na \"internet\" podem ser facilmente acessados pelo \"YouTube\". Porém não foram realizados estudos nacionais que explorem seu potencial e auxiliem na compreensão sobre o uso deste recurso no Brasil. Objetivo: Analisar o uso da \"internet\" como novo canal de comunicação para disseminação de conteúdo educativo de interesse de políticas públicas focadas no cuidado de indivíduos com diabetes mellitus tipo 1 e 2. Métodos: Vinte (20) vídeos foram produzidos, de acordo com planejamento educativo que buscou a maior eficácia no processo comunicativo. Foram realizadas exibições seguidas de entrevistas com o público de interesse para verificar a compreensão dos indivíduos acerca dos vídeos. Os mesmos foram divulgados no \"YouTube\", onde foi possível resgatar os dados dos internautas, como sexo e idade, número de acessos e tempo de visualização dos vídeos. Resultados: Todos os vídeos foram compreendidos satisfatoriamente pelos indivíduos entrevistados e na \"internet\" receberam 3.174 visualizações por ambos os sexos, de todas as faixas etárias, destacando-se o maior aproveitamento do conteúdo por mulheres idosas. Conclusão: A \"internet\" mostrou-se importante meio para a divulgação dos conhecimentos sobre os cuidados em diabetes mellitus no Brasil, visto que a população já utiliza este meio para buscar informações de saúde. Os vídeos podem ser utilizados como eficaz canal de disseminação de conteúdos educativos de interesse das Políticas de Saúde Pública. / Introduction: The dissemination of essential knowledge in the care of individuals with Diabetes Mellitus may influence their ability to develop self-care, which is essential to maintaining quality of life. Videos, valued for carrying \"everyday\" to the moment of learning, on the internet can be easily accessed by \"YouTube\". However, no Brazilian studies have been conducted that explore its potential and help in understanding the use of this resource in Brazil. Objective: Analyze the use of the internet as a new communication channel for the dissemination of educational content of interest to public policies focused on the care of Diabetes Mellitus type 1 and 2. Methods: Twenty (20) videos were produced according to educational planning which sought the greatest effectiveness in the communicative process. Exhibitions were followed by interviews with the audience of interest to verify the individuals\' understanding of the videos. The videos were released on YouTube, where it was possible to retrieve Internet users\' access data, such as gender and age, number of views and retention of videos. Results: All the videos presented a good understanding of the individuals interviewed and on the internet received 3,174 views by both genders, of all age groups, highlighting the greater use of content by older women. Conclusion: The internet has proven to be an important means of disseminating knowledge about diabetes care in Brazil, since the population already uses this medium to seek health information. The videos can be used as an effective channel for the dissemination of educational content of interest to Public Health Policies.

The emergence in recent years of strong female musical artists asserting their sexuality as empowerment (Andsager & Roe, 2003; Gauntlett, 2002) has necessitated an evaluation of their depictions in music videos as perceived by contemporary target audiences. This study attempts to determine how viewers’ gender role identity, based upon gender schema theory (Bem, 1981; 1993) and measured through Bem Sex-Role Inventory (BSRI), relate to perceptions of female pop and hip hop artists’ music videos. It was hypothesized that sex-typed respondents would perceive portrayals as traditional more than other groups, whereas cross-sex typed respondents would perceive empowerment more than others groups. A convenience sample of 177 female undergraduate students was used for this cross-sectional study. Results did not support the hypotheses. Though some of the traditional items were found significant, no other significant differences emerged. Overall, gender role identity was ultimately found to have little relationship to perceptions of music video portrayals.

This research studied three women who have performed in hip hop music videos. Previous literature concerning these women, including memoirs, men’s magazine interviews, and Black feminist scholarship, has situated them as video vixens, terminology that all three participants disputed applied to them. The research was completed in two parts—a face-to-face phenomenological interview and a semi-structured telephone interview. In the phenomenological interview, the initial question—what are your experiences as a woman who dances/models in music videos?—was posed. The answers ranged from musings about professionalism and the lack thereof in the industry to the politics of skin color and nationality. The semi-structured interview allowed the participants to clarify or expound on experiences they discussed during the first interview.

published_or_final_version / abstract / Literary and Cultural Studies / Master / Master of Arts