Canon kabushiki kaisha (20240104920). IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM simplified abstract
Contents
- 1 IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM - 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 APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
Organization Name
Inventor(s)
SATOKO Nakamae of Kanagawa (JP)
IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240104920 titled 'IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
Simplified Explanation
The image processing apparatus described in the abstract is designed to recognize objects in frames, encode the frames, and generate data based on the recognition and encoding processes. The recognition unit only performs recognition processing on a frame of a picture when the processing cost exceeds a certain threshold.
- Recognition unit performs recognition processing on frames
- Encoding unit encodes frames
- Generation unit generates data based on recognition and encoding results
- Recognition processing is only done when processing cost is above a predefined amount
Potential Applications
The technology could be applied in security systems, surveillance cameras, and autonomous vehicles for object recognition and data generation purposes.
Problems Solved
This technology helps in optimizing processing resources by only performing recognition processing when necessary, reducing unnecessary computations and improving efficiency.
Benefits
The benefits of this technology include faster processing speeds, reduced energy consumption, and improved overall performance in image processing tasks.
Potential Commercial Applications
Potential commercial applications of this technology could include smart cameras, industrial automation systems, and medical imaging devices.
Possible Prior Art
One possible prior art could be image recognition systems that do not optimize processing resources based on the cost of recognition processing.
Unanswered Questions
How does this technology compare to existing image processing systems in terms of accuracy and efficiency?
This article does not provide a direct comparison between this technology and existing image processing systems in terms of accuracy and efficiency. Further research or testing would be needed to determine the performance differences.
What are the potential limitations or drawbacks of implementing this technology in real-world applications?
The article does not address any potential limitations or drawbacks of implementing this technology in real-world applications. It would be important to consider factors such as compatibility with existing systems, scalability, and cost implications.
Original Abstract Submitted
an image processing apparatus includes a recognition unit configured to perform a recognition processing of an object on a frame, an encoding unit configured to perform an encoding process of a frame, and a generation unit configured to generate data including a result of the encoding process and a result of the recognition processing. the recognition unit performs the recognition processing only on a frame of a b picture when a processing cost of a most recent recognition processing is greater than or equal to a predefined amount.
