Abstract: Methods for identifying data files responsive to a search query and weighted according to a stylistic preference are provided. In one aspect, a method includes receiving a search query for a collection of media files from a device associated with a user associated with a user identifier, and identifying a set of image files from the collection that is responsive to the query. Each image file in the set is associated with a relevancy score. The method also includes retrieving a stylistic preference profile associated with the user identifier to apply to the set, and weighting the score for each image file according to the profile to generate a weighted stylistic preference score for each image file. The method further includes creating a listing of the set that is sorted according to weighted stylistic preference score, and providing the listing to the device. Systems and machine-readable media are also provided.

Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for clustering search results based on image composition. A system may, for each image in a set of images, determine a compositional vector representing one or more objects and corresponding locations within the image using a trained computer-operated convolutional neural network. The system may provide each image through a clustering algorithm to produce one or more clusters based on compositional similarity. The system may provide images from the set of images clustered by composition, in which the images include a different listing of images for each of the one or more clusters. The system may provide a prioritized listing of images responsive to a user search query, in which the prioritized listing of images includes a different listing of images for each cluster of compositional similarity based on the metadata of each image associated with the cluster.

Abstract: An automated music composition and generation system having a system user interface operably connected to an automated music composition and generation engine, and supporting a method of composing a piece of digital music using musical experience descriptors as to indicate what, when and how particular musical events should occur in the piece of digital music to be automatically composed and generated. The method uses the system user interface to select one or more musical experience descriptors and applying the musical experience descriptors along a timeline representation of a piece of digital music to be automatically composed and generated by the automated music composition and generation engine.

Abstract: An autonomous music composition and performance system employing an automated music composition and generation engine configured to receive musical signals from a set of a real or synthetic musical instruments being played by a group of human musicians. The system buffers and analyzes musical signals from the set of real or synthetic musical instruments, composes and generates music in real-time that augments the music being played by the band of musicians, and/or composes and generates music for subsequent playback, review and consideration by the human musicians.

Abstract: Methods for identifying visual portions of visual media files that are responsive to at least one visual media input file submitted as a search query are provided. In one aspect, a method includes generating an index of visual portions of a plurality of visual media files from a collection of media files, and receiving from a user a search query, for the collection, including at least one visual media input file. The method also includes analyzing the index to identify at least one responsive visual media file from the collection that includes a visual portion associated with a visual similarity score, to the at least one visual media input file, which exceeds a similarity threshold value, and providing, in response to the search query, an identifier of the at least one responsive visual media file for display as responsive to the search query. Systems and machine-readable media are also provided.

Abstract: An automated music composition and generation system includes a graphical user interface (GUI) based system user interface for enabling system users to review and select one or more musical experience descriptors as well as time and/or space parameters; and an automated music composition and generation engine, operably connected to the GUI-based system user interface, for receiving, storing and processing the musical experience descriptors and time and/or space parameters, and composing and generating digital pieces of music, each containing a set of musical notes arranged and performed in the digital piece of composed music.

Abstract: An automated music performance system that is driven by the music-theoretic state descriptors of any musical structure (e.g. a music composition or sound recording). The system can be used with next generation digital audio workstations (DAWs), virtual studio technology (VST) plugins, virtual music instrument libraries, and automated music composition and generation engines, systems and platforms. The automated music performance system generates unique digital performances of pieces of music, using virtual musical instruments created from sampled notes or sounds and/or synthesized notes or sounds. Each virtual music instrument has its own set of music-theoretic state responsive performance rules that are automatically triggered by the music theoretic state descriptors of the music composition or performance to be digitally performed.

Abstract: An automated music composition and generation system having a system user interface operably connected to an automated music composition and generation engine, and supporting a method of scoring a selected media object with one or more pieces of digital music. The method uses the system user interface to select one or more musical experience descriptors and then apply the selected musical experience descriptors to the selected digital media object to indicate what, when and how particular musical events should occur in the one or more pieces of digital music to be automatically composed and generated by the automated music composition and generation engine. The generated piece of digital music is then used in musically scoring the selected digital media object.

Abstract: A method including selecting, in a server, a first image portion from an image is provided. The method also includes identifying one or more known similar images associated with the first image portion, and determining a first score for enhancing the first image portion based on the known similar image(s). The method includes increasing a pixel resolution in the first image portion according to the scale to form an enhanced image portion. The method also includes identifying a synthetic value for the enhanced image portion and storing the enhanced image portion in a database when the synthetic value is below a tolerance value.

Abstract: An automated music performance system that is driven by the music-theoretic state descriptors of any musical structure (e.g. a music composition or sound recording). The system can be used with next generation digital audio workstations (DAWs), virtual studio technology (VST) plugins, virtual music instrument libraries, and automated music composition and generation engines, systems and platforms. The automated music performance system generates unique digital performances of pieces of music, using virtual musical instruments created from sampled notes or sounds and/or synthesized notes or sounds. Each virtual music instrument has its own set of music-theoretic state responsive performance rules that are automatically triggered by the music theoretic state descriptors of the music composition or performance to be digitally performed.

Abstract: A method of automatically confirming the uniqueness of digital pieces of music produced by an automated music composition and generation system while satisfying the creative intentions of system users. The method involves reviewing, selecting and providing one or more musical experience descriptors and time and/or space parameters, to an automated music composition and generation engine operably connected to the system user interface. The automated music composition and generation engine includes a music piece analysis subsystem for automatically examining each piece of composed music that has been generated by said automated music composition and generation engine, comparing the digital piece of composed and generated music against other digital pieces of music composed and generated by said automated music composition and generation system for said system user, and determining whether or not the examined digital piece of composed and generated music is sufficiently unique.

Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for authentic content search using style classifications. A system may be a search engine that uses a set of style classifiers to detect one or more styles associated with an image and a logistic regression model to determine a level of authenticity for the image based on the associated styles. Training images are fed to train a series of neural networks that output a set of style classifiers. An image is processed through the style classifiers to determine respective probabilities for each style classification. The results from the set of style classifiers are then input to the logistic regression model to determine an authenticity score for the image. For example, the authenticity score shows how authentic is an image (e.g., a score of 1.0 refers to 100% authenticity, whereas a score of 0.0 represents a non-authentic image).

Abstract: An automated music composition and generation system provided with a system user interface enabling system users to review, select and provide one or more musical experience descriptors as well as time and/or space parameters, to an automated music composition and generation engine, operably connected to the system user interface. The automated music composition and generation engine includes a musical kernel generation subsystem for automatically analyzing and saving musical kernel elements automatically abstracted from the digital piece of music.

Abstract: An automated music performance system that is driven by the music-theoretic state descriptors of any musical structure (e.g. a music composition or sound recording). The system can be used with next generation digital audio workstations (DAWs), virtual studio technology (VST) plugins, virtual music instrument libraries, and automated music composition and generation engines, systems and platforms. The automated music performance system generates unique digital performances of pieces of music, using virtual musical instruments created from sampled notes or sounds and/or synthesized notes or sounds. Each virtual music instrument has its own set of music-theoretic state responsive performance rules that are automatically triggered by the music theoretic state descriptors of the music composition or performance to be digitally performed.

Abstract: A method including receiving a first image file in a network server is provided. The method also includes selecting multiple criteria in a test ensemble for the first image file and evaluating a synthetic value for the first image file according to the test ensemble. The method includes storing the first image file and the synthetic value for the first image file in a database, and providing for display the first image file and the synthetic value for the first image file in response to a search query from a user. A system and a non-transitory, computer-readable medium storing instructions to perform the above method are also provided.

Abstract: A method for receiving a request for a design template from a client device, the design template including a dynamic media file indicator is provided. The request includes collecting user information indicative of a location of the client device, a demographic datum of a user associated with the client device, or a language of the user associated with the client device, and selecting a media file from a database of media files based on the user information. The method also includes modifying the design template based on the user information to include the media file and providing the design template comprising the media file for display by the client device. A computer-readable medium including commands and a system including a processor to execute the commands and perform the above method are also provided.

Abstract: Various aspects of the subject technology relate to augmented reality image retrieval. An application running on a user device allows the user to visualize and modify design features for a real-world object, such as a billboard, a bus-mounted advertisement, or a wall of a room in a building. The application is communicatively coupled to an image server having an image database with millions of available images, and having intelligent processing to identify recommended images from the database, based on the design aspects from the user. The application provides a selectable option to view the design aspects, and/or the recommended database images, on a captured image of the real-world object. In this way, the user is provided with the ability to design the appearance of the real-world object by visualizing and/or modifying, in real time, server-recommended images as they will appear on the real-world object.

Abstract: Methods, systems, and machine-readable media for identifying synthetic media file examples to train a supervised machine learned ranking algorithm to rank relevance of media files to a search query are provided. In one aspect, a method includes identifying a search query for a search engine for a collection of media files from previously received search queries, and selecting at least one training media file from the collection as a synthetic negative example for the search query. The method also includes providing a training set to a supervised machine learned ranking algorithm. The training set includes an identification of the search query, a copy of the training media file, and a first indicator that the training media file is a synthetic negative example for the search query. The method further includes providing, to the algorithm, the search query and the collection, and receiving, from the algorithm, a ranking of the collection.

Abstract: A method including receiving a user selection of multiple image anchors for images within a canvas, and a query for each image anchor, is provided. The method includes finding a vector for the canvas in a merged space associated with the user selection of multiple image anchors, generating a synthetic image for the canvas based on the vector for the canvas in the merged space and an image from an image database, and evaluating a synthetic detectability based on a resemblance of the synthetic image with a real image. The method also includes providing the synthetic image for the canvas to a user when the synthetic detectability is lower than a pre-selected threshold. A system and a non-transitory, computer readable medium storing instructions to perform the above method are also provided.

Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for reverse search with manual composition. A system generates a first search result associated with a forward image search that is responsive to a search query from a client device, and each image in the first search result respectively includes a base layer that includes a representation of a first composition for the image. The system may receive user input indicating a target composition defined by the base layer of at least one image from the first search result and an object layer that indicates adjustments to the first composition of the base layer, and generates a second search result using the target composition. The second search result includes second images that respectively include a representation of a second composition that corresponds to the target composition. The system provides the second search result to the client device.