Abstract: The present disclosure is directed to automatically generating a 360 Virtual Photographic Representation (“spin”) of an object using multiple images of the object. The system uses machine learning to automatically differentiate between images of the object taken from different angles. A user supplies multiple images and/or videos of an object and the system automatically analyzes and classifies the images into the proper order before incorporating the images into an interactive spin. The system automatically classifies the images using features identified in the images. The classifications are based on predetermined classifications associated with the object to facilitate proper ordering of the images in the resulting spin.

Abstract: The present disclosure is directed to automatically receiving, modifying, sequencing, and displaying vehicle images for marketing to prospective buyers. A seller uploads images of a vehicle to the system, which system uses artificial intelligence and machine learning to classify the images, identify objects within the images, add backgrounds, banners, and hotspots, and generate metadata associating the results of the foregoing processes with the particular images. The system uses the stored metadata to sequence the images in a format predetermined by the seller and upload the sequenced images for display to a prospective buyer.

Abstract: The present disclosure is directed to automatically receiving, modifying, sequencing, and displaying vehicle images for marketing to prospective buyers. A seller uploads images of a vehicle to the system, which system uses artificial intelligence and machine learning to classify the images, identify objects within the images, add backgrounds, banners, and hotspots, and generate metadata associating the results of the foregoing processes with the particular images. The system uses the stored metadata to sequence the images in a format predetermined by the seller and upload the sequenced images for display to a prospective buyer.

Abstract: The present disclosure is directed to automatically curating a set of images according to a predetermined set of compliance rules and displaying those images. The machine learning and artificial intelligence technology can differentiate between images and identify features within images. The features may include a desired perspective, inconsistent backgrounds, low detail, blurriness, shadows, glare, reflections, unwanted information, unwanted elements, poles, trees, lack or focus, poor resolution, rain, snow, fumes, smoke, mud, unwanted banners, unwanted overlays, etc. The technology is trained to identify these features in the images and automatically tag the images with information relating to the features. A user selects a set of predetermined rules to be applied to the images. The technology then uses the tags to apply these selected rules to the images to modify the images and display the modified images in a predetermined sequence and arrangement.

Abstract: The present disclosure is directed to automatically receiving, modifying, sequencing, and displaying vehicle images for marketing to prospective buyers. A seller uploads images of a vehicle to the system, which system uses artificial intelligence and machine learning to classify the images, identify objects within the images, add backgrounds, banners, and hotspots, and generate metadata associating the results of the foregoing processes with the particular images. The system uses the stored metadata to sequence the images in a format predetermined by the seller and upload the sequenced images for display to a prospective buyer.

Abstract: The present disclosure is directed to automatically generating a 360 Virtual Photographic Representation (“spin”) of an object using multiple images of the object. The system uses machine learning to automatically differentiate between images of the object taken from different angles. A user supplies multiple images and/or videos of an object and the system automatically analyzes and classifies the images into the proper order before incorporating the images into an interactive spin. The system automatically classifies the images using features identified in the images. The classifications are based on predetermined classifications associated with the object to facilitate proper ordering of the images in the resulting spin.

Abstract: The present disclosure is directed to automatically generating a 360 Virtual Photographic Representation (“spin”) of an object using multiple images of the object. The system uses machine learning to automatically differentiate between images of the object taken from different angles. A user supplies multiple images and/or videos of an object and the system automatically analyzes and classifies the images into the proper order before incorporating the images into an interactive spin. The system automatically classifies the images using features identified in the images. The classifications are based on predetermined classifications associated with the object to facilitate proper ordering of the images in the resulting spin.

Abstract: The present disclosure is directed to automatically generating a 360 Virtual Photographic Representation (“spin”) of an object using multiple images of the object. The system uses machine learning to automatically differentiate between images of the object taken from different angles. A user supplies multiple images and/or videos of an object and the system automatically analyzes and classifies the images into the proper order before incorporating the images into an interactive spin. The system automatically classifies the images using features identified in the images. The classifications are based on predetermined classifications associated with the object to facilitate proper ordering of the images in the resulting spin.

Abstract: A computer implemented method of producing videos with overlays. A user creates a video and various overlays to be applied to the video. The user selects predetermined time frames for the overlays to be provided. The system automatically generates the resulting video with the selected overlays at the predetermined time frames.

Abstract: A computer implemented method of generating video promotional material and annotating the video promotional material with information about the product being promoted in the video promotional material, determining where the information about the product is stored, associating the information with the video and adding the information to the video promotional material in the form of video effects.