Abstract: Server and client devices and corresponding methods have been realized for adapting delivered video content to the contextual and environmental characteristics surrounding the rendering device. An exemplary client rendering device receives video content having a first dynamic range and a first color gamut. The client device sends a request for transformation information including an identifier for each of the video content and model information of the rendering device. From a server, the client device receives first transformation information for the identified video content and rendering device and uses that information to convert the video content to a converted video content having one of a second dynamic range different from the first dynamic range and a second color gamut different from the first color gamut, so that the converted video content can be played back.

Abstract: A system, apparatus and method for generating recommendation about use of a vehicle is provided. In one embodiment, the method comprises creating a user profile for at least one vehicle and creating a user profile for a driver of the one vehicle. The method also comprises generating data regarding condition of a plurality of components of the vehicle and generating maintenance and user alerts based on information from the user and vehicle profiles and the component conditions.

Abstract: A method and apparatus for providing operational assessments for a particular vehicle is presented. In one embodiment, initial information is collected via a processor about operational history of a particular vehicle. This information is updated as the vehicle continues to be operated for a time period. In addition, a camera is used to iteratively collect driving information about driving habits of at least one driver of the vehicles also during a particular time period or distinct time intervals. Finally, a predictive outcome is generated for at least one event relating to the operation of the vehicle for a future event (beyond period of said particular time period). This is generated based on the initial information and new operational history and the driving habits.