Abstract: A computer-implemented method of processing video data comprising a first sequences of image frames containing a first instance of an object. The method includes isolating said first instance of the object within the first sequence of image frames, determining, using the isolated first instance of the object, first parameter values for a synthetic model of the object, modifying the first parameter values for the synthetic model of the object, rendering a modified first instance of the object using a trained machine learning model and the modified first parameter values for the synthetic model of the object, and replacing at least part of the first instance of the object within the first sequence of image frames with a corresponding at least part of the modified first instance of the object.

Abstract: Obtaining input video data depicting footage of an object, obtaining current values of a set of adjustable parameters of an object representation model comprising a neural network and arranged to generate animated representations of the object using the neural network in which a geometry of the object is controllable by the set of adjustable parameters. For a plurality of iterations, using the object representation model to generate a video layer comprising an animated representation of the object in which the geometry of the object corresponds to the current values of the set of adjustable parameters, presenting composite video data comprising the video layer overlaid on the object in the input video data, and updating the current values of the set of adjustable parameters in response to user input via the user interface.

Abstract: A computer-implemented method of processing video data comprising a sequence of image frames. The method includes isolating an instance of an object within the sequence of image frames, generating a modified instance of the object using a machine learning model, and modifying the video data to smoothly transition between at least part of the isolated instance of the object and a corresponding at least part of the modified instance of the object over a subsequence of the sequence of image frames.

Abstract: A computer-implemented method of processing video data comprising a first sequences of image frames containing a first instance of an object. The method includes isolating said first instance of the object within the first sequence of image frames, determining, using the isolated first instance of the object, first parameter values for a synthetic model of the object, modifying the first parameter values for the synthetic model of the object, rendering a modified first instance of the object using a trained machine learning model and the modified first parameter values for the synthetic model of the object, and replacing at least part of the first instance of the object within the first sequence of image frames with a corresponding at least part of the modified first instance of the object.

Abstract: A computer-implemented method of processing video data comprising a first sequences of image frames containing a first instance of an object. The method includes isolating said first instance of the object within the first sequence of image frames, determining, using the isolated first instance of the object, first parameter values for a synthetic model of the object, modifying the first parameter values for the synthetic model of the object, rendering a modified first instance of the object using a trained machine learning model and the modified first parameter values for the synthetic model of the object, and replacing at least part of the first instance of the object within the first sequence of image frames with a corresponding at least part of the modified first instance of the object.

Abstract: A computer-implemented method of processing video data comprising a first sequences of image frames containing a first instance of an object. The method includes isolating said first instance of the object within the first sequence of image frames, determining, using the isolated first instance of the object, first parameter values for a synthetic model of the object, modifying the first parameter values for the synthetic model of the object, rendering a modified first instance of the object using a trained machine learning model and the modified first parameter values for the synthetic model of the object, and replacing at least part of the first instance of the object within the first sequence of image frames with a corresponding at least part of the modified first instance of the object.

Abstract: A computer-implemented method includes obtaining source video data comprising a plurality of image frames, and using a face tracker to detect one or more instances of faces within respective sequences of image frames of the source video data. For a first instance of a given face detected within a first sequence of image frames, the method includes determining a framewise location and size of the first instance of the given face in the first sequence of image frames, using a neural renderer to obtain replacement video data comprising a replacement instance of the given face, and using the determined framewise location and size to replace at least part of the first instance of the given face with at least part of the replacement instance of the given face.

Abstract: A computer-implemented method of processing video data comprising a first sequences of image frames containing a first instance of an object. The method includes isolating said first instance of the object within the first sequence of image frames, determining, using the isolated first instance of the object, first parameter values for a synthetic model of the object, modifying the first parameter values for the synthetic model of the object, rendering a modified first instance of the object using a trained machine learning model and the modified first parameter values for the synthetic model of the object, and replacing at least part of the first instance of the object within the first sequence of image frames with a corresponding at least part of the modified first instance of the object.

Abstract: A computer-implemented method of processing video data comprising a sequence of image frames. The method includes isolating an instance of an object within the sequence of image frames, generating a modified instance of the object using a machine learning model, and modifying the video data to smoothly transition between at least part of the isolated instance of the object and a corresponding at least part of the modified instance of the object over a subsequence of the sequence of image frames.

Abstract: A computer-implemented method of processing video data comprising a first sequences of image frames containing a first instance of an object. The method includes isolating said first instance of the object within the first sequence of image frames, determining, using the isolated first instance of the object, first parameter values for a synthetic model of the object, modifying the first parameter values for the synthetic model of the object, rendering a modified first instance of the object using a trained machine learning model and the modified first parameter values for the synthetic model of the object, and replacing at least part of the first instance of the object within the first sequence of image frames with a corresponding at least part of the modified first instance of the object.

Abstract: A control device for the selective control of a multiplicity of actuators of an internal combustion engine is provided. The control device includes a central control unit, and a multiplicity of actuators associated with the multiplicity of actuator controls, which are connected to the central control unit. Each actuator control, of the multiplicity of actuator controls, includes an address, so that the actuator controls are selectively controllable by the central control unit by means of the address. Also, each actuator control includes a comparator, which is configured to compare a signal, preferably a voltage or current signal, emitted by the central control unit with the address. The comparator also emits an activation signal via an activation line, if the comparison has resulted in a match of the signal with the address of the respective actuator control within a window, preferably a voltage window (?V).

Abstract: A control device for the selective control of a multiplicity of actuators of an internal combustion engine is provided. The control device includes a central control unit, and a multiplicity of actuators associated with the multiplicity of actuator controls, which are connected to the central control unit. Each actuator control, of the multiplicity of actuator controls, includes an address, so that the actuator controls are selectively controllable by the central control unit by means of the address. Also, each actuator control includes a comparator, which is configured to compare a signal, preferably a voltage or current signal, emitted by the central control unit with the address. The comparator also emits an activation signal via an activation line, if the comparison has resulted in a match of the signal with the address of the respective actuator control within a window, preferably a voltage window (?V).

Abstract: The present invention is a method for losing weight and optimizing body composition comprising the steps of eating five meals a day with 1 serving of vegetables or fruit, complex carbohydrate, and lean protein for approximately 300 calories per meal at ranges of 25-35% protein, 50-55% carbohydrate, 15-20% fat with six to seven grams of fiber for a total of 1,500 calories per day for women. The method also comprises a method for losing weight and optimizing body composition for men comprising the steps of eating five meals a day every 2½ to 3½ hours consisting of 1½ servings of vegetables or fruit, complex carbohydrate, and lean protein for 450 calories per meal at 25-35% protein, 50-55% carbohydrate, and 15-20% fat with nine to ten grams of fiber for a total of 2,250 calories per day.

Abstract: A riffle distributor assembly for influencing the travel properties of a material feed stream 42 moving between a pulverizer 14 and a furnace 12 is part of a feed path 36 having one duct 44A having a branch entry 66A and another branch duct 44C having a branch entry 66C both downstream of upstream passage peripheries UPZ defined between adjacent intake vanes 114 through which the feed stream of the material 42 travels in two segregated portions. A motor drive assembly 58 moves the intake vanes 114 relative to the incoming flow reference axis IFA, whereupon intake areas defined between adjacent intake vanes 114 moves relative to the incoming flow reference axis IFA such that the travel properties of the one portion of material in the one branch duct 44A are different than its travel properties before the movement of intake areas defined between adjacent intake vanes 114.

Abstract: The present invention is a method for losing weight and optimizing body composition comprising the steps of eating five meals a day with 1 serving of vegetables or fruit, complex carbohydrate, and lean protein for approximately 300 calories per meal at ranges of 25-35% protein, 50-55% carbohydrate, 15-20% fat with six to seven grams of fiber for a total of 1,500 calories per day for women. The method also comprises a method for losing weight and optimizing body composition for men comprising the steps of eating five meals a day every 2 1/2 to 3½ hours consisting of 1½ servings of vegetables or fruit, complex carbohydrate, and lean protein for 450 calories per meal at 25-35% protein, 50-55% carbohydrate, and 15-20% fat with nine to ten grams of fiber for a total of 2,250 calories per day.

Abstract: A pivot mounting apparatus 210 is provided for pivotally mounting to one another the coal nozzle tip 212 and coal nozzle body 214 of a pulverized solid fuel nozzle 208 of a pulverized solid fuel-fired furnace 10. The pivot mounting apparatus 210 includes a latch interconnecting assembly 220 that includes a pin 222 for insertion in a traversing movement through an insertion passage 224 which passes through both the through hole 216 of the coal nozzle tip 212 and the through hole 218 of the coal nozzle body 214 upon the mutually facing positioning of respective sides of the coal nozzle tip 212 and the coal nozzle body 214 with one another with their respective through holes 216, 218 both co-axial with an insertion axis IAX.

Abstract: An apparatus for cleaning an enrober head and a method for using the apparatus, in which the apparatus has a cleaning medium supply vessel having an outlet and an open top, an enrober head mount registered with the open top of the vessel, and a pump, arranged to pump cleaning medium from the vessel to an applicator for application to enrober head elements requiring cleaning. The mount is adapted to attach an enrober head to the vessel, such that, when an enrober head is removed from an enrober and mounted on the apparatus, cleaning medium applied to elements of the enrober head can pass through those elements, through the mount and open top, and back into the vessel, cleaning the enrober head elements, and allowing the cleaning medium to be reapplied.

Abstract: An apparatus for cleaning an enrober head and a method for using the apparatus, in which the apparatus has a cleaning medium supply vessel having an outlet and an open top, an enrober head mount registered with the open top of the vessel, and a pump, arranged to pump cleaning medium from the vessel to an applicator for application to enrober head elements requiring cleaning. The mount is adapted to attach an enrober head to the vessel, such that, when an enrober head is removed from an enrober and mounted on the apparatus, cleaning medium applied to elements of the enrober head can pass through those elements, through the mount and open top, and back into the vessel, cleaning the enrober head elements, and allowing the cleaning medium to be reapplied.