Image compression using content categories

In one embodiment, a method includes analyzing content of an image, identifying a category of the image based on the analyzed content of the image, identifying, based on the category of the image, a set of one or more compression parameters for a compression algorithm, and compressing the image usin...

Full description

Saved in:
Bibliographic Details
Main Authors Cabral, Brian Keith, Hugenroth, Daniel, Okuyucu, Ibrahim
Format Patent
LanguageEnglish
Published 12.11.2019
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:In one embodiment, a method includes analyzing content of an image, identifying a category of the image based on the analyzed content of the image, identifying, based on the category of the image, a set of one or more compression parameters for a compression algorithm, and compressing the image using the compression algorithm, wherein the compression parameters are provided as input to the compression algorithm. The category of the image may include a category of an object depicted in the image, and identifying the category of the image may include detecting one or more objects in the image, selecting a primary subject of the image from the objects in the image, and identifying a category of the primary subject, wherein the category of the image comprises the category of the primary subject. The primary subject may be the largest of the objects in the image.
Bibliography:Application Number: US201715653306