18121454. REFERENCE BASED DIGITAL CONTENT STYLIZATION simplified abstract (Adobe Inc.)

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REFERENCE BASED DIGITAL CONTENT STYLIZATION

Organization Name

Adobe Inc.

Inventor(s)

Ashish Jain of Ashok Vihar (IN)

Avil Aneja of Sriganganagar (IN)

REFERENCE BASED DIGITAL CONTENT STYLIZATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18121454 titled 'REFERENCE BASED DIGITAL CONTENT STYLIZATION

Simplified Explanation: The patent application describes techniques for generating stylized digital content from plain text input based on the visual style attributes of reference digital content.

Key Features and Innovation:

  • Content processing system receives input digital content with text and reference digital content with a specific visual style.
  • Determines visual style attributes of the reference digital content such as text size, color, font, etc.
  • Generates an input content classification scheme with semantic structure identifiers to classify text of the input digital content.
  • Generates stylized digital content by applying the visual style attributes of the reference digital content to the text of the input digital content.

Potential Applications: This technology can be used in digital marketing, content creation, graphic design, and user interface design.

Problems Solved: This technology addresses the need for efficient and automated stylization of digital content based on specific visual styles.

Benefits:

  • Saves time and effort in manually stylizing digital content.
  • Ensures consistency in visual style across different pieces of content.
  • Enhances the overall aesthetic appeal of digital content.

Commercial Applications: Potential commercial applications include digital advertising agencies, graphic design firms, content creation platforms, and e-commerce websites looking to enhance the visual appeal of their products.

Prior Art: Readers can explore prior art related to this technology in the fields of digital content creation, graphic design software, and artificial intelligence applications in design.

Frequently Updated Research: Stay updated on research related to digital content stylization techniques, visual style analysis, and automated design processes.

Questions about Digital Content Stylization: 1. How does this technology improve the efficiency of content creation processes? 2. What are the key factors to consider when applying visual style attributes to digital content for stylization?


Original Abstract Submitted

Reference based digital content stylization techniques are described that enable generation of stylized digital content from a plain text input based on visual style attributes of reference digital content. A content processing system, for instance, receives input digital content including text and reference digital content with a particular visual style. The content processing system determines visual style attributes of the reference digital content, such as a text size, color, font, etc. The content processing system generates an input content classification scheme that includes semantic structure identifiers to classify text of the input digital content, e.g., as a header, subheader, paragraph, and so forth. Based on the input content classification scheme, the content processing system generates stylized digital content by applying the visual style attributes of the reference digital content to the text of the input digital content.

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