Disney Enterprises, Inc.

Steven S Shapiro

Anthony M Accardo

Miquel Angel Farre Guiu

Monica Alfaro Vendrell

Pablo Pernias

Albert Aparicio Isarn

Francesc Josep Guitart Bravo

Marc Junyent Martin

Michael O Maloney

Blake G Sloan

Vince Cerundolo

Marc Junyet Martin

A system includes a computing platform having processing hardware, and a systems memory storing a software code. The processing hardware is configured to execute the software code to receive content including an image having multiple image regions, determine boundaries of each of the image regions to identify multiple bounded image regions, identify, within each of the bounded image regions, one or more local features and one or more global features, and identify, within each of the hounded image regions, another one or more local features based on a comparison with corresponding local features identified in each of one or more other bounded image regions. The processing hardware is further configured to execute the software code to annotate each of the bounded image regions using its respective one or more local features, its other one or more local features, and its one or more global features, to provide annotated content.

Automated content analysis and annotation

A system includes a computing platform having processing hardware, and a memory storing software code. The processing hardware is configured to execute the software code to receive an image having a plurality of image regions, determine a boundary of each of the image regions to identify a plurality of bounded image regions, and identify, within each of the bounded image regions, one or more image sub-regions to identify a plurality of image sub-regions. The processing hardware is further configured to execute the software code to identify, within each of the bounded image regions, one or more first features, respectively, identify, within each of the image sub-regions, one or more second features, respectively, and provided an annotated image by annotating each of the bounded image regions using the respective first features and annotating each of the image sub-regions using the respective second features.

Automated image analysis and indexing

A process receives, with a processor, a plurality of image device properties corresponding to an image capture device. Further the process selects, with the processor, one or more of the plurality of image device properties based on one or more pipeline criteria. The pipeline criteria indicate one or more weights corresponding to the plurality of image device properties. Additionally, the process truncates, with the processor, the one or more selected image device properties to a predetermined number of characters based on a human readability factor. The human readability factor is provided by the one or more pipeline criteria. The process automatically generates, with the processor, a device parameter data structure by ordering the truncated one or more image device properties according to the one or more weights. Moreover, the process transmits, with the processor, the device parameter data structure through a video post-production pipeline.

Code generation system for image capture device parameters

Growing community of inventors

Pasacena, CA, United States of America

Steven S Shapiro