View source for 17983135. METHOD AND ELECTRONIC DEVICE FOR RECOGNIZING IMAGE CONTEXT simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)

=METHOD AND ELECTRONIC DEVICE FOR RECOGNIZING IMAGE CONTEXT=


==Organization Name==

[[:Category:SAMSUNG ELECTRONICS CO., LTD.|SAMSUNG ELECTRONICS CO., LTD.]]


[[Category:SAMSUNG ELECTRONICS CO., LTD.]]

==Inventor(s)==

[[:Category:Kiran Nanjunda Iyer of Bengaluru (IN)|Kiran Nanjunda Iyer of Bengaluru (IN)]][[Category:Kiran Nanjunda Iyer of Bengaluru (IN)]]

[[:Category:Biplab Ch Das of Bengaluru (IN)|Biplab Ch Das of Bengaluru (IN)]][[Category:Biplab Ch Das of Bengaluru (IN)]]

[[:Category:Sathish Chalasani of Bengaluru (IN)|Sathish Chalasani of Bengaluru (IN)]][[Category:Sathish Chalasani of Bengaluru (IN)]]

==METHOD AND ELECTRONIC DEVICE FOR RECOGNIZING IMAGE CONTEXT - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17983135 titled 'METHOD AND ELECTRONIC DEVICE FOR RECOGNIZING IMAGE CONTEXT

==Simplified Explanation==

The abstract describes a method for an electronic device to recognize image context. Here is a simplified explanation of the abstract:

* The method involves capturing a first image frame from a preview of the device's imaging sensor.
* The first scene captured in the first image frame is recognized.
* The method also recognizes second scenes in a series of image frames that are not captured in the first image frame.
* Contextual information of the first image frame is determined based on the first scene and the second scenes.

==Potential Applications==
This technology can have various applications in fields such as:

* Photography: The method can assist photographers in automatically recognizing and categorizing different scenes in their images.
* Augmented Reality: By understanding the context of the image, the device can provide more relevant and accurate augmented reality overlays.
* Security Systems: The method can be used to identify and analyze scenes captured by security cameras, improving surveillance and threat detection.

==Problems Solved==
The method addresses the following problems:

* Context Recognition: By analyzing multiple image frames, the device can accurately determine the context of a particular scene, providing more relevant information or actions.
* Efficiency: The method allows for quick recognition of scenes by utilizing the preview of the imaging sensor, reducing processing time and energy consumption.
* Automation: The method automates the process of recognizing image context, eliminating the need for manual categorization and analysis.

==Benefits==
The benefits of this technology include:

* Improved User Experience: By understanding the context of an image, the device can provide more personalized and relevant features or suggestions to the user.
* Time and Energy Savings: The method efficiently recognizes image context, reducing processing time and energy consumption.
* Enhanced Security: In security systems, the method can help identify and analyze scenes, improving threat detection and response capabilities.


==Original Abstract Submitted==

A method for recognizing image context by an electronic device includes capturing a first image frame from a preview of an imaging sensor of the electronic device, recognizing a first scene that is captured in the first image frame, recognizing second scenes in a plurality of image frames that is not captured in the first image frame, and determining contextual information of the first image frame based on the first scene and the second scenes.



[[Category:G06V20/40]]
[[Category:G06V20/50]]
[[Category:G06V20/70]]
[[Category:G06V10/44]]
[[Category:G06V10/62]]