Abstract: The present disclosure relates to methods of analyzing works of art for purposes of authentication or attribution. Such methods may be implemented by receiving digital image data associated with a work of art, identifying a plurality of artist's strokes formed along a surface of the work of art, segmenting the plurality of strokes into a plurality of individual strokes, analyzing the plurality of individual strokes to determine stroke characteristics, and comparing the stroke characteristics to stroke characteristics derived from one or more computational models based on known works of art.
Abstract: A method and system for automatically generating a video stream synchronized with and reactive to an input audio stream uses one or more still or video images as a source of imagery. The system learns a latent representation of the source imagery and generates a visualization synchronized to, and reactive with, the input audio. A computer divides the audio stream into successive audio frames each characterized by a spectrogram. The computer generates a series of graphics of such latent representation according to the spectrogram of each audio frame. The computer pairs each audio frame with its corresponding graphic to generate an ordered series of graphics. The series of generated graphics can be displayed to accompany the audio in real-time or coupled with the audio stream to provide an audiovisual work that can be transmitted or digitally stored.
Abstract: The present disclosure relates to methods of analyzing works of art for purposes of authentication or attribution. Such methods may be implemented by receiving digital image data associated with a work of art, identifying a plurality of artist's strokes formed along a surface of the work of art, segmenting the plurality of strokes into a plurality of individual strokes, analyzing the plurality of individual strokes to determine stroke characteristics, and comparing the stroke characteristics to stroke characteristics derived from one or more computational models based on known works of art.
Abstract: The present disclosure relates to methods of analyzing works of art for purposes of authentication or attribution. Such methods may be implemented by receiving digital image data associated with a work of art, identifying a plurality of artist's strokes formed along a surface of the work of art, segmenting the plurality of strokes into a plurality of individual strokes, analyzing the plurality of individual strokes to determine stroke characteristics, and comparing the stroke characteristics to stroke characteristics derived from one or more computational models based on known works of art.