Abstract: In examples, a method for generating a remixed audio sample is provided. The method may include receiving an audio portion, obtaining metadata from the received audio portion, and analyzing the metadata and generating a symbolic music representation based on the analyzed metadata. In some examples, a selection of a style asset is received and applied to the symbolic music representation. Accordingly, a remixed audio portion may be rendered based on the stylized symbolic representation. That is, metadata associated with a song or song portion may be analyzed to identify a tempo, key, structure, chord, and/or progressions, etc., such that a remixed version of the song can be provided with customized instrumental arrangements and styles.

Abstract: Systems and methods directed to controlling the similarity between stylized portraits and an original photo are described. In examples, an input image is received and encoded using a variational autoencoder to generate a latent vector. The latent vector may be blended with latent vectors that best represent a face in the original user portrait image. The resulting blended latent vector may be provided to a generative adversarial network (GAN) generator to generate a controlled stylized image. In examples, one or more layers of the stylized GAN generator may be swapped with one or more layers of the original GAN generator. Accordingly, a user can interactively determine how much stylization vs. personalization should be included in a resulting stylized portrait.

Abstract: The present disclosure describes techniques for identifying languages associated with music. Training data may be received, wherein the training data comprise information indicative of audio data representative of a plurality of music samples and metadata associated with the plurality of music samples. The training data further comprises information indicating a language corresponding to each of the plurality of music samples. A machine learning model may be trained to identify a language associated with a piece of music by applying the training data to the machine model until the model reaches a predetermined recognition accuracy. A language associated with the piece of music may be determined using the trained machine learning model.

Abstract: Embodiments of the present disclosure provide an end-cloud collaborative media data processing method and apparatus, a device and a storage medium, where the method includes: calling a target processing flow in response to a first operation triggering a target functionality, where the target processing flow includes a local algorithm node and a remote algorithm node, and the target functionality is used for adding a special effect to media data to be processed; executing, based on the target processing flow, a corresponding local algorithm node and remote algorithm node to obtain first processing data output by the local algorithm node and second processing data output by the remote algorithm node; and generating third processing data through the first processing data and/or the second processing data.

Abstract: Systems, methods and apparatus for encoding or decoding a file format that stores one or more images are described. One example method includes performing a conversion between a visual media file and a bitstream of a visual media data according to a format rule, where the format rule specifies a condition that controls whether an information item is included in a non-video coding layer track of the visual media file, and where a presence of the non-video coding layer track in the visual media file is indicated by a specific track reference in a video coding layer track of the visual media file.

Abstract: Systems, methods and apparatus for encoding or decoding a file format that stores one or more images are described. One example method includes performing a conversion between a visual media file and a bitstream of a visual media data according to a format rule, where the format rule specifies a condition that controls whether an information item is included in a non-video coding layer track of the visual media file, and where a presence of the non-video coding layer track in the visual media file is indicated by a specific track reference in a video coding layer track of the visual media file.

Abstract: Systems, methods and apparatus for processing image data are described. One example method includes performing a conversion between a visual media file and a bitstream. The visual media file comprises image items each comprising a sequence of one or more pictures according to a media file format, and the bitstream includes access units each consisting of one or more pictures each belonging to a layer according to a video coding format. The media file format specifies that image items comprising pictures originated from the bitstream are allowed to be associated with different instances of a property descriptor that indicates high-level characteristics of the bitstream.

Abstract: Disclosed are methods and systems for providing physical verification for an online check-in process. The system and method provides an application at a merchant terminal by which a user at the merchant can check-in to an online application, such as through an near-field communication or NFC chip. A remote automated transaction system receives users' check-in information and in turn can transmit that information to a social network computer system, whereby the user's status is automatically updated with at least some of the transmitted check-in information.

Abstract: Disclosed is a mobile platform that enables unique tap-and-connect transaction processing and settlement, which allows consumers, merchants, financial institutions and other third parties to strengthen their relationships through a local transaction network that offers more efficient transaction processing and settlement for reduced per-transaction cost and risk management costs and increased security.

Abstract: Described herein are networks and related devices and methods for facilitating the electronic transfer of funds and electronic purchases between consumers, merchants, and other parties. Also facilitated by the principles described herein is the electronic transfer of funds or payments between individuals. The disclosed principles provide for the funds of a user's account to never leave his original financial account until the financial transaction takes place. Thus, no special accounts within the payment system are required to be opened, maintained, or funded by a user. Instead, funds are simply transferred to or from a user's associated financial account by the financial institution maintaining that account and in accordance with instructions from the network. Thus, the present disclosure provides for fund transfers and purchases between parties in a secure, efficient, and the user-friendly manner.

Abstract: Present example embodiments relate generally to systems, methods, devices, and computer-readable media for capturing details of a transaction, extracting details of the transaction, categorizing details of the transaction, storing details of the transaction, and creating customizable reports of the details of the transaction in numerical or graphical form, and advising on savings for past and/or future transactions.