Most UHDTV content is presently created using single large CMOS sensor cameras as opposed to 2/3-inch small sensor cameras, which is the standard for HD content. The consequence is a technical incompatibility that does not only affect the lenses and accessories of these cameras, but also the content creation process in 2D and 3D. While UHDTV is generally acclaimed for its superior image quality, the large sensors have introduced new constraints in the filming process. The camera sizes and lens dimensions have also introduced new obstacles for their use in 3D UHDTV production. The recent availability of UHDTV broadcast cameras with traditional 2/3-inch sensors can improve the transition towards UHDTV content creation. The following article will evaluate differences between the large-sensor UHDTV cameras and the 2/3-inch 3 CMOS solution and address 3D-specific considerations, such as possible artifacts like chromatic aberration and diffraction, which can occur when mixing HD and UHD equipment. The article will further present a workflow with solutions for shooting 3D UHDTV content on the basis of the Grass Valley LDX4K compact camera, which is the first available UHDTV camera with 2/3-inch UHDTV broadcast technology.
With the development of web 2.0 and the rapid diffusion of smart devices, current web service, which only provides very limited information and service, has been transformed into user-friendly and comprehensive web service called mash-up service. Mash-up service is defined as comprehensive service that is created by combining variety of web services. When composing a mesh-up service, Open API is used as web service interface. Current mash-up service, however, has fundamental problem in that it could not satisfy the various needs of users who want I-centric personalized service because it is developed and provided by service developers. To overcome these obstacles, a lot of studies on mesh-up framework are being performed for improving mash-up proess though, it is still in beginning stage. In this paper, we introduce an API selection and compostion method as the key technology for mesh-up framework that support the automatic creation of mesh-up service.
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