Google llc (20240311960). FLEXIBLE IMAGE ASPECT RATIO USING MACHINE LEARNING simplified abstract

FLEXIBLE IMAGE ASPECT RATIO USING MACHINE LEARNING

Organization Name

google llc

Inventor(s)

Xiao Feng of Mountian View CA (US)

Yuanzhen Li of Mountain View CA (US)

Yihui Wang of Montain View CA (US)

Omer Gimenez of Mountain View CA (US)

Han Xu of Mountain View CA (US)

Mengjie Wang of Mountain View CA (US)

Huiwen Chang of Mountain View CA (US)

AJ Maschinot of Mountain View CA (US)

Dilip Krishnan of Mountain View CA (US)

FLEXIBLE IMAGE ASPECT RATIO USING MACHINE LEARNING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240311960 titled 'FLEXIBLE IMAGE ASPECT RATIO USING MACHINE LEARNING

Simplified Explanation: The patent application describes a method for adjusting the aspect ratio of an image to match the aspect ratio of a display area, ensuring optimal presentation on the screen.

• **Key Features and Innovation:**

   - Receiving an image with a first aspect ratio.
   - Obtaining a second aspect ratio for the display area.
   - Extending the image to include additional features.
   - Automatically cropping the extended image to match the display area's aspect ratio.

• **Potential Applications:**

This technology can be used in various fields such as photography, graphic design, video editing, and digital advertising to ensure images are displayed correctly on different screens.

• **Problems Solved:**

The technology addresses the issue of images appearing distorted or cropped incorrectly when displayed on screens with different aspect ratios.

• **Benefits:**

   - Improved visual presentation of images on various display screens.
   - Enhanced user experience by ensuring images are displayed as intended.
   - Simplified process for adjusting image aspect ratios for different devices.

• **Commercial Applications:**

   - Digital signage industry for creating engaging displays.
   - E-commerce platforms for showcasing products accurately.
   - Social media platforms for optimizing image display across devices.

• **Prior Art:**

While the abstract does not mention specific prior art, researchers can explore existing patents related to image aspect ratio adjustment and display optimization.

• **Frequently Updated Research:**

Researchers in the field of computer vision and image processing may be conducting studies on advanced algorithms for automatic aspect ratio adjustment in images.

Questions about Image Aspect Ratio Adjustment: 1. How does this technology impact the user experience when viewing images on different devices?

   - The technology ensures that images are displayed correctly without distortion, enhancing user satisfaction.

2. What are the potential challenges in implementing automatic aspect ratio adjustment for images?

   - Challenges may include accurately identifying regions of interest and maintaining image quality during the adjustment process.

Original Abstract Submitted

to adjust an aspect ratio of an image to match the aspect ratio of a display area for presenting the image, a computing device receives an image having a first aspect ratio, and obtains a second aspect ratio for a display area of a display in which to present the image, where the second aspect ratio is different from the first aspect ratio. the computing device extends the image to include one or more additional features which were not included in the image. additionally, the computing device automatically crops the extended image around an identified region of interest by selecting a portion of the extended image that has an aspect ratio which matches the second aspect ratio of the display area, and provides the cropped image for presentation within the display area of the display.