Abstract: A method for transferring a first source video stream (SVS1), comprising determining a first verification code (VC1); translating the first verification code (VC1) into two or more distinct and different graphical objects (200), the graphical objects (200) being useful to unambiguously determine the first verification code (VC1) based on visual identification of each of the graphical objects (200); producing a first produced video stream (PVS1), the first produced video stream (PVS1) comprising one or several frames (210) of the first source video stream (SVS1) as well as the graphical objects (200), the graphical objects (200) not overlapping with frames (210) of the first source video stream (SVS1); and transferring the first produced video stream (PVS1) from a sender (510) to a receiver (530), wherein each of the graphical objects (200) is configured with one or several respective distinct graphical features (201), the one or several distinct graphical features (201) being defined in a more coarse-grain

Abstract: A method for transferring a first video stream, comprising a sender (510) receiving, from a receiver (530), a secret value (SV); the sender (510) determining a first verification code (VC1), being or being determined based on the secret value (SV); the sender (510) producing a first produced video stream (PVS1) based on a first source video stream (SVS1) as well as a first piece of information (POI1) coding for the first verification code (VC1); transferring the first produced video stream (PVS1) to an intermediate party (520); the intermediate party (520) determining, based on the first produced video stream (PVS1), a first piece of intermediate information (II1) correlating to the first verification code (VC1); the intermediate party (520) producing a third produced video stream (PVS3) based on the first produced video stream (PVS1) as well as a third piece of information (POI3) coding for the first piece of intermediate information (II1); transferring the third produced video stream (PVS3) to the receiv

Abstract: A method for transferring a first video stream, comprising determining a first verification code (VC1); producing a first produced video stream (PVS1) based on a first source video stream (SVS1) as well as a first piece of information (POI1) coding for the first verification code (VC1); transferring the first produced video stream (PVS1) from a sender (510) to a receiver (530), wherein the method further comprises the steps down-sampling the first source video stream (SVS1) to achieve a first shadow source video stream (SSVS1); producing a first shadow produced video stream (SPVS1) based on the first shadow source video stream (SSVS1) as well as the first piece of information (POI1), the producing of the first shadow produced video stream (SPVS1) being performed using one or more automatic shadow production steps corresponding to one or more automatic primary production steps; and storing or distributing the first produced shadow produced video stream (SPVS1).

Abstract: Method for resolving a conflict in a set of information (200), comprising the steps identifying and storing existing information sources (210) with existing source confidence metrics (232); existing topics (220); and existing pieces of content (240) with topic confidence metrics (251); receiving a first piece of content (241) having a first information source (211); prompting large language model, LLM (150) to provide identified topics (222) addressed in the first piece of content (241); and for each of the one or several identified topics (222) performing the following steps: identify an existing pieces of content (240) that is related to the identified topic (222); prompt a second LLM (160) to provide information regarding if the first piece of content (241) supports a particular existing piece of content (242); and determine the first topic confidence metric (252) based on a source confidence metric (253) between the first information source (211) and the identified topic (222) as well as an existing to

Abstract: A method for processing a piece of textual information. The piece of textual information is parsed into a set of plaintext input tokens. Each of the plaintext input tokens is individually transformed using a first binary data transformation, to achieve a set of binary input tokens. Each of the set of binary input tokens is transformed individually or collectively, using an embedding data transformation, into one or several vectorized input tokens. The one or several vectorized input tokens is/are fed to a first neural network. A response is received from the first neural network in the form of one or several vectorized output tokens.

Abstract: A method for providing specific information regarding a moving image. The moving image is received. The moving image includes or is defined in terms of a set of consecutive image frames. A set of discrete representative image frames is selected among the set of consecutive image frames. The set of several discrete representative image frames is preprocessed to achieve a set of discrete preprocessed image frames. The set of several discrete preprocessed image frames is analyzed, using digital image and/or audio processing, to achieve metadata regarding the moving image, providing a first prompt to a first large language model (LLM), referencing the set of several discrete preprocessed image frames and the metadata. A first response is received from the first LLM. The first response is used to provide the specific information by querying, inspection or transformation of the first response.