(in English): This thesis describes, how the internet and new media change the habits of viewers when watching audiovisual content. In a theoretical part there is briefly described an evolution of television as a medium in its every phase and also are there critically introduced new ways of video consumption. The practical part contains a qualitative sociological research in a form of deep interviews with 23 participants divided into groups by sociodemographic group. The thesis reflects difference in a media praxis between these sociodemographic groups and describes an influence of new media on audiovisual content consumption.

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This paper analyzes and critically evaluates present music and video market functioning with emphasis to the sales of electronic format of this content which is preferred by current customers. It analyzes the widespread trend of content sharing via the Internet and specifies reasons why the trend is happening. It defines cases of behavior that are justifiable in the eyes of consumers and therefore legitimate (i.e. creation of backups, downloading and sharing legally unavailable content, downloading for personal use, etc.) and elements that reduce value of the legally distributed content for the customer (copy protection mechanisms or current licensing system). Furthermore, it analyzes new economic approaches that enable the utilization potential of the Internet (i.e. the Long Tail Theory) or of potential customers (Crowdsourcing, Word of Mouth, Gamification). The paper analyzes the functioning new services that use the Internet as a platform for their operation and offer users the experience they want. Proposal for this new system of audiovisual content distribution is proposed based on a synthesis of findings from the operation of these services, new theoretical approaches and author's own contribution. This new system rejects the idea of selling the content as goods (per items) and adopts an approach of access to the whole catalogue of content for a flat monthly fee. This newly born service has several tiers that differ qualitatively among themselves, also in terms of added value for users and finally in the price at which the layers are available. This system is very acceptable to customers as well as being an interesting long-term alternative to the current system for operators of the new system and copyright holders.

In order to manage the content of multimedia data, the content must be annotated. Although any user-defined annotation is acceptable, it is preferable if systems agree on the same annotation format. MPEG-7 is a widely accepted standard for multimedia content annotation. However, in MPEG-7, semantically identical metadata can be represented in multiple ways due to lack of precise semantics in its XML-based syntax. Unfortunately this prevents metadata interoperability. To overcome this problem, MPEG-7 standard is translated into an ontology. In this thesis, MPEG-7 ontology is used on top and the given user-defined ontologies are attached to the MPEG-7 ontology via a user friendly interface, thus building MPEG-7 based ontologies automatically. Our proposed system is an ontology-based multimedia information management framework due to its modular architecture, ease of integrating with domain specific ontologies naturally and automatic harmonization of MPEG-7 ontology and domain-specific ontologies. Integration with domain specific ontologies is carried out by enabling import of domain ontologies via a user-friendly interface which makes the system independent of application domains.

This Master Thesis report was written by Umeå University Engineering Physics student Richard Tano during his thesis work at Ericsson Luleå. Monitoring network quality is of utmost importance to network providers. This can be done with models evaluating QoS (Quality of Service) and conforming to ITU-T Recommendations. When determining video stream quality there is of more importance to evaluatethe QoE (Quality of Experience) to understand how the user perceives the quality. This isranked in MOS (Mean opinion scores) values. An important aspect of determining the QoEis the video content type, which is correlated to the coding complexity and MOS values ofthe video. In this work the possibilities to improve quality estimation models complying to ITU-T study group 12 (q.14) was investigated. Methods were evaluated and an algorithm was developed that applies time series analysis of packet statistics for determination of videostreams MOS scores. Methods used in the algorithm includes a novel assembling of frequentpattern analysis and regression analysis. A model which incorporates the algorithm for usage from low to high bitrates was dened. The new model resulted in around 20% improvedprecision in MOS score estimation compared to the existing reference model. Furthermore an algorithm using only regression statistics and modeling of related statistical parameters was developed. Improvements in coding estimation was comparable with earlier algorithm but efficiency increased considerably. / Detta examensarbete skrevs av Richard Tano student på Umeå universitet åt Ericsson Luleå. Övervakning av nätets prestanda är av yttersta vikt för nätverksleverantörer. Detta görs med modeller för att utvärdera QoS (Quality of Service) som överensstämmer med ITU-T rekommendationer. Vid bestämning av kvaliten på videoströmmar är det mer meningsfullt att utvärdera QoE (Quality of Experience) för att få insikt i hur användaren uppfattar kvaliten. Detta graderas i värden av MOS (Mean opinion score). En viktig aspekt för att bestämma QoE är typen av videoinnehåll, vilket är korrelerat till videons kodningskomplexitet och MOS värden. I detta arbete undersöktes möjligheterna att förbättra kvalitetsuppskattningsmodellerna under uppfyllande av ITU-T studygroup 12 (q.14). Metoder undersöktes och en algoritm utvecklades som använder tidsserieanalys av paketstatistik för uppskattning av videoströmmars MOS-värden. Metoder som ingår i algoritmen är en nyutvecklad frekventa mönster metod tillsammans med regressions analys. En modell som använder algoritmen från låg till hög bithastighet definierades. Den nya modellen gav omkring 20% förbättrad precision i uppskattning av MOS-värden jämfört med existerande referensmodell. Även en algoritm som enbart använder regressionsstatistik och modellerande av statistiska parametrar utvecklades. Denna algoritm levererade jämförbara resultat med föregående algoritm men gav även kraftigt förbättrad effektivitet.

Le développement des contenus vidéo en ligne ont changé l’environnement de l’internet et des médias jusqu’à devenir une partie de notre vie quotidienne. Cependant, le développement de cette industrie est contraint par plusieurs problèmes, tels que la faible valeur de la publicité, le manque de rentabilité et les litiges de droit d’auteur. Des recherches scientifiques sont à mener se concentrant sur les modes de revenu des plateformes de diffusion et le fonctionnement du marché.Ma thèse mène dans un premier temps une description détaillée de marché des contenus vidéo en ligne en Chine. J’analyse les caractéristiques du marché à l’aide de la théorie des marchés bifaces. Puis la thèse examine les modes de tarification, construit un modèle de marchés bifaces différenciée verticalement, et explore la stratégie de prix optimal dans les différents modes et le choix optimal du mode de fixation des prix. Ensuite, je construis un modèle de concurrence avec la différenciation horizontale avec différents choix d’accès des annonceurs. La thèse explore de manière centrale les modes de transaction et les comportements des entreprises entre les fournisseurs de contenu et la plateforme ainsi que l’équilibre du marché.La thèse procède à une description détaillée du mécanisme de revenus et le fonctionnement de l’industrie des contenus vidéo en ligne basé sur la théorie des marchés bifaces et les caractéristiques de cette industrie émergente. Selon les résultats de la modélisation mathématique, l’analyse conclut par des suggestions à destination des plateformes et de cette industrie adaptées aux caractéristiques chinoises. / The appearance and following flourish of online video content have changed the Internet environment and media ecology of information era, which even become part of our life every day. However, the development of online video content industry is persecuted by several problems, such as lower advertising value, lack of profitability and constant copyright disputes. Specific research on the revenue modes of online video content platform and the operating mechanism of online video content market is essential.I conduct a detailed description for present China’s online video content market at first and then analyze the market characteristics using two-sided market theory. Next the thesis examines the exiting price modes, constructs a model of two-sided vertically differentiated markets, and explore the optimal pricing strategy under the different modes and the optimal choice of pricing mode. Then the thesis constructs a horizontal differentiated model of market competition under the different accessing choices of advertisers. The thesis intensively explores the transaction mode and business behavior between content providers and content platform on the accessing ways and market equilibrium.The dissertation conducts a detailed description of the revenue and operation mechanism for online video content industry based on the theory of two-sided markets and the characteristics of this emerging fresh industry. According to the analysis results concluded by the mathematical modeling, corresponding policy suggestions confirming to the online video content market with Chinese characteristics would be proposed from the perspectives of platform operation and whole industry.