17533770. AUGMENTATION FOR VISUAL ACTION DATA simplified abstract (International Business Machines Corporation)

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AUGMENTATION FOR VISUAL ACTION DATA

Organization Name

International Business Machines Corporation

Inventor(s)

Nalini K. Ratha of Yorktown Heights NY (US)

Sharathchandra Pankanti of Fairfield County CT (US)

Lisa Marie Brown of Pleasantville NY (US)

AUGMENTATION FOR VISUAL ACTION DATA - A simplified explanation of the abstract

This abstract first appeared for US patent application 17533770 titled 'AUGMENTATION FOR VISUAL ACTION DATA

Simplified Explanation

The patent application describes a method for generating visual data by defining actions and corresponding objects and motions. It then determines the relationship between two actions and transforms the objects and motions of the first action to compose visual data for the second action.

  • The method involves defining a first action with a set of objects and motions.
  • A second action is defined with a different set of objects and motions.
  • The relationship between the second action and the first action is determined based on the relationships between corresponding objects and motions.
  • Visual data of the first action is analyzed to detect objects and motions.
  • The detected objects and motions are transformed based on the determined relationships to compose visual data for the second action.

Potential Applications

  • Video game development: This technology can be used to generate realistic and dynamic visual data for in-game actions and movements.
  • Animation production: It can be applied to create animated sequences with smooth transitions between different actions and objects.
  • Virtual reality experiences: The method can be utilized to generate immersive visual data for virtual reality simulations and experiences.

Problems Solved

  • Manual creation of visual data: This technology automates the process of generating visual data by transforming objects and motions based on predefined relationships, saving time and effort.
  • Seamless transitions between actions: The method ensures smooth and realistic transitions between different actions by determining the relationships between corresponding objects and motions.

Benefits

  • Time and cost savings: The automated generation of visual data reduces the need for manual creation, saving time and resources.
  • Realistic and dynamic visuals: The method allows for the creation of visually appealing and immersive content with seamless transitions between actions.
  • Versatility: The technology can be applied to various fields, including video games, animation, and virtual reality, providing a wide range of applications.


Original Abstract Submitted

Generating visual data by defining a first action into a first set of objects and corresponding first set of motions, and defining a second action into a second set of objects and corresponding second set of motions. A relationship is then determined for the second action to the first action in terms of relationships between corresponding constituent objects and motions. Objects and motions are detected from visual data of first action. Visual data is composed for the second action from the data by transforming the constituent objects and motions detected in first action based on the corresponding determined relationships.

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