Camera-equipped UAVs (Unmanned Aerial Vehicles), or "drones", are a recent addition to standard audiovisual (A/V) shooting technologies. As drone cinematography is expected to further revolutionize media production, this paper presents an overview of the state-of-the-art in this area, along with a brief review of current commercial UAV technologies and legal restrictions on their deployment. A novel taxonomy of UAV cinematography visual building blocks, in the context of filming outdoor events where targets (e.g., athletes) must be actively followed, is additionally proposed. Such a taxonomy is necessary for progress in intelligent/autonomous UAV shooting, which has the potential of addressing current technology challenges. Subsequently, the concepts and advantages inherent in multiple-UAV cinematography are introduced. The core of multiple-UAV cinematography consists in identifying different combinations of multiple single-UAV camera motion types, assembled in meaningful sequences. Finally, based on the defined UAV/camera motion types, tools for managing a partially autonomous, multiple-UAV fleet from the director's point of view are presented. Although the overall focus is on cinematic coverage of sports events, the majority of our contributions also apply in different scenarios such as movies/TV production, newsgathering or advertising.
Abstract-The emergence of cloud environments has made feasible the delivery of Internet-scale services by addressing a number of challenges such as live migration, fault tolerance and quality of service. However, current approaches do not tackle key issues related to cloud storage, which are of increasing importance given the enormous amount of data being produced in today's rich digital environment (e.g. by smart phones, social networks, sensors, user generated content). In this paper we present the architecture of a scalable and flexible cloud environment addressing the challenge of providing data-intensive storage cloud services through raising the abstraction level of storage, enabling data mobility across providers, allowing computational and content-centric access to storage and deploying new data-oriented mechanisms for QoS and security guarantees. We also demonstrate the added value and effectiveness of the proposed architecture through two real-life application scenarios from the healthcare and media domains.
Recent mass commercialization of affordableUnmanned Aerial Vehicles (UAVs, or "drones") has significantly altered the media production landscape, allowing easy acquisition of impressive aerial footage. Relevant applications include production of movies, television shows or commercials, as well as filming outdoor events or news stories for TV. Increased drone autonomy in the near future is expected to reduce shooting costs and shift focus to the creative process, rather than the minutiae of UAV operation. This short overview introduces and surveys the emerging field of autonomous UAV filming, attempting to familiarize the reader with the area and, concurrently, highlight the inherent signal processing aspects and challenges.
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