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: Disclosed herein are a method and system for distributing electronic publishing content.

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: The invention provides substrates coated with a hydrocarbon or fluorocarbon layer. The coated substrate has superior properties such as improved hydrophobicity and/or oleophobicity. Also disclosed are methods of making coatings on substrates using atomic layer deposition (ALD) and/or molecular layer deposition (MLD).

Abstract: Systems and methods for interactive live video streaming in accordance with embodiments of the invention are illustrated. One embodiment includes an interaction encoder for transmitting interactive live video streams, including a processor, and a memory, containing an interaction encoding application, where the interaction encoding application directs the processor to obtain media data comprising a video track, receive a request to generate an interaction object in the video track at a given timestamp of the video stream, generate interaction data based on the request, where the interaction data includes a data structure capable of being decoded in near-real time to produce the interaction object in the video track at the timestamp when played back, and transmit the interaction data to an interaction decoder.

Abstract: Disclosed herein are a method and system for distributing electronic publishing content.

Abstract: The amount of unsolicited bulk e-mail messages received by an e-mail user is reduced by providing the user with a temporary e-mail address and a permanent e-mail address. The temporary addresses are generated by a server on an ongoing basis. The current temporary address is linked to the permanent e-mail address such that e-mail messages sent to the current temporary address are forwarded to the permanent address and e-mail messages sent to a former temporary address are not forwarded to the permanent address and not received by the user. The method and system also provide a degree of anonymity to the e-mail user.

Abstract: The amount of unsolicited bulk e-mail messages received by an e-mail user is reduced by providing the user with a temporary e-mail address and a permanent e-mail address. The temporary addresses are generated by a server on an ongoing basis. The current temporary address is linked to the permanent e-mail address such that e-mail messages sent to the current temporary address are forwarded to the permanent address and e-mail messages sent to a former temporary address are not forwarded to the permanent address and not received by the user. The method and system also provide a degree of anonymity to the e-mail user.