Abstract: A method for transmitting time information and quantum states on an optical medium is disclosed. The method includes transmitting information comprising a timing information and quantum states over a single wavelength on an optical medium. The method also includes receiving each transmitted information sequentially in the corresponding plurality of time slots at a receiver. The method also includes comparing each timing information received in the corresponding plurality of timeslots with timing information of a preceding hold over time slot of the plurality of time slots. The method also includes determining a time drift encountered at the receiver based on a compared result. The method also includes synchronising phase and frequency of the plurality of transmitted packets of the information based on minimization of determined time drift.

Abstract: A method for transmitting time information and quantum states on an optical medium is disclosed. The method includes transmitting information comprising a timing information and quantum states over a single wavelength on an optical medium. The method also includes receiving each transmitted information sequentially in the corresponding plurality of time slots at a receiver. The method also includes comparing each timing information received in the corresponding plurality of timeslots with timing information of a preceding hold over time slot of the plurality of time slots. The method also includes determining a time drift encountered at the receiver based on a compared result. The method also includes synchronising phase and frequency of the plurality of transmitted packets of the information based on minimization of determined time drift.

Abstract: Approaches for dynamic pre-filtering of digital video based on video complexity and output bit rate. An adaptive video preprocessor determines a current video complexity of the digital video and an output bit rate. Thereafter, the adaptive video preprocessor dynamically updates the strength of one or more preprocessing filters based on the current video complexity and the output bit rate for the digital video. The adaptive video preprocessor may update the strength of a preprocessing filter based, at least in part, upon selected values of a video quality preference category. A video quality preference category may be assigned natural language values which may each be translated into a particular strength value for at least one of the one or more preprocessing filters.

Abstract: Approaches for dynamically allocating CPU cycle resources to a video encoder. A resource allocator assesses an amount of available CPU cycle resources on the hardware device on which it executes. The resource allocator determines that a change in the amount of available CPU cycle resources has occurred. The resource allocator, adjusts, in real-time, which particular cycle profile, in a plurality of cycle profiles, is assigned to at least one of a plurality of video modules. The plurality of cycle profiles each allocate, to video modules, a particular amount CPU cycle resources for processing digital video. The plurality of cycle profiles also each specify a set of configuration settings and are arranged in a sequence based upon the video quality and density achievable by video modules using configuration settings associated with each cycle profile when processing digital video.

Abstract: Approaches for digital video encoding based, at least in part, on adaptive pre-filtering of the digital video. A user may select values for a plurality of video quality preference categories. An adaptive video preprocessor determines adaptive preprocessor information for the digital video, based, at least in part, on the current video complexity of the digital video and an output bit rate. The encoder encodes the digital video to produce encoded digital video using the adaptive preprocessor information. In this way, for example, the encoder may dynamically adjust how the digital video is encoded based on a selection, made by the user, regarding a stress bias video quality preference.

Abstract: Approaches for dynamic pre-filtering of digital video based on video complexity and output bit rate. An adaptive video preprocessor determines a current video complexity of the digital video and an output bit rate. Thereafter, the adaptive video preprocessor dynamically updates the strength of one or more preprocessing filters based on the current video complexity and the output bit rate for the digital video. The adaptive video preprocessor may update the strength of a preprocessing filter based, at least in part, upon selected values of a video quality preference category. A video quality preference category may be assigned natural language values which may each be translated into a particular strength value for at least one of the one or more preprocessing filters.

Abstract: Approaches for dynamic pre-filtering of digital video based on video complexity and output bit rate. An adaptive video preprocessor determines a current video complexity of the digital video and an output bit rate. Thereafter, the adaptive video preprocessor dynamically updates the strength of one or more preprocessing filters based on the current video complexity and the output bit rate for the digital video. The adaptive video preprocessor may update the strength of a preprocessing filter based, at least in part, upon selected values of a video quality preference category. A video quality preference category may be assigned natural language values which may each be translated into a particular strength value for at least one of the one or more preprocessing filters.

Abstract: Approaches for dynamically allocating CPU cycle resources to a video encoder. A resource allocator assesses an amount of available CPU cycle resources on the hardware device on which it executes. The resource allocator determines that a change in the amount of available CPU cycle resources has occurred. The resource allocator, adjusts, in real-time, which particular cycle profile, in a plurality of cycle profiles, is assigned to at least one of a plurality of video modules. The plurality of cycle profiles each allocate, to video modules, a particular amount CPU cycle resources for processing digital video. The plurality of cycle profiles also each specify a set of configuration settings and are arranged in a sequence based upon the video quality and density achievable by video modules using configuration settings associated with each cycle profile when processing digital video.

Abstract: Approaches for dynamic pre-filtering of digital video based on video complexity and output bit rate. An adaptive video preprocessor determines a current video complexity of the digital video and an output bit rate. Thereafter, the adaptive video preprocessor dynamically updates the strength of one or more preprocessing filters based on the current video complexity and the output bit rate for the digital video. The adaptive video preprocessor may update the strength of a preprocessing filter based, at least in part, upon selected values of a video quality preference category. A video quality preference category may be assigned natural language values which may each be translated into a particular strength value for at least one of the one or more preprocessing filters.