18545799. IMAGE PROCESSING BASED ON OBJECT CATEGORIZATION simplified abstract (QUALCOMM Incorporated)
Contents
- 1 IMAGE PROCESSING BASED ON OBJECT CATEGORIZATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 IMAGE PROCESSING BASED ON OBJECT CATEGORIZATION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
IMAGE PROCESSING BASED ON OBJECT CATEGORIZATION
Organization Name
Inventor(s)
Eran Pinhasov of Zichron Yaakov (IL)
Scott Cheng of Foothill Ranch CA (US)
Anatoly Gurevich of Haifa (IL)
IMAGE PROCESSING BASED ON OBJECT CATEGORIZATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18545799 titled 'IMAGE PROCESSING BASED ON OBJECT CATEGORIZATION
Simplified Explanation
The patent application describes a method for applying different settings for image capture to different portions of image data based on object image regions and confidence regions.
- An image sensor captures image data of a scene and sends it to an image signal processor (ISP) and a classification engine for processing.
- The classification engine identifies different object image regions depicting different categories of objects and different confidence regions indicating different degrees of confidence in the classifications.
- The ISP generates an image by applying different settings to the different portions of the image data based on the object image regions and confidence regions.
Potential Applications
This technology could be applied in various fields such as surveillance systems, autonomous vehicles, and image recognition software.
Problems Solved
This technology helps in improving image processing accuracy and efficiency by applying different settings to different portions of image data based on object recognition and confidence levels.
Benefits
The benefits of this technology include enhanced image processing capabilities, improved object recognition accuracy, and optimized image quality.
Potential Commercial Applications
One potential commercial application of this technology could be in the development of advanced security systems for monitoring and analyzing video feeds in real-time.
Possible Prior Art
Prior art in this field may include patents related to image processing techniques, object recognition algorithms, and camera sensor technologies.
What are the specific object categories that can be identified using this technology?
Specific object categories that can be identified using this technology include people, vehicles, animals, and various objects commonly found in different environments.
How does this technology impact the overall performance of image processing systems?
This technology significantly improves the overall performance of image processing systems by enabling more accurate object recognition, efficient data processing, and enhanced image quality.
Original Abstract Submitted
Examples are described for applying different settings for image capture to different portions of image data. For example, an image sensor can capture image data of a scene and can send the image data to an image signal processor (ISP) and a classification engine for processing. The classification engine can determine that a first object image region depicts a first category of object, and a second object image region depicts a second category of object. Different confidence regions of the image data can identify different degrees of confidence in the classifications. The ISP can generate an image by applying a different settings to the different portions of the image data. The different portions of the image data can be identified based on the object image regions and confidence regions.
