18264717. IMAGE IDENTIFYING APPARATUS, VIDEO REPRODUCING APPARATUS, IMAGE IDENTIFYING METHOD, AND RECORDING MEDIUM simplified abstract (Panasonic Intellectual Property Management Co., Ltd.)

IMAGE IDENTIFYING APPARATUS, VIDEO REPRODUCING APPARATUS, IMAGE IDENTIFYING METHOD, AND RECORDING MEDIUM

Organization Name

Panasonic Intellectual Property Management Co., Ltd.

Inventor(s)

Takashi Sugimoto of Osaka (JP)

IMAGE IDENTIFYING APPARATUS, VIDEO REPRODUCING APPARATUS, IMAGE IDENTIFYING METHOD, AND RECORDING MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18264717 titled 'IMAGE IDENTIFYING APPARATUS, VIDEO REPRODUCING APPARATUS, IMAGE IDENTIFYING METHOD, AND RECORDING MEDIUM

Simplified Explanation

The image identifying apparatus described in the patent application uses machine learning to identify attribute information of test image data. Here is a simplified explanation of the patent application:

• The apparatus obtains image data and generates test image data by resizing it with a predetermined aspect ratio distortion.
• It stores a machine learning model that has been trained using a training data set including items of second training image data with aspect ratio distortion.
• The identifier in the apparatus uses the machine learning model to identify attribute information of the test image data.

Potential Applications

This technology could be applied in image recognition systems, security systems, and quality control processes.

Problems Solved

This technology helps in accurately identifying attribute information of images, even when they have been resized with aspect ratio distortion.

Benefits

The benefits of this technology include improved image identification accuracy, efficiency in processing images with different aspect ratios, and the ability to adapt to various image distortion scenarios.

Potential Commercial Applications

A potential commercial application of this technology could be in the development of image recognition software for industries such as healthcare, retail, and surveillance.

Possible Prior Art

One possible prior art for this technology could be existing image recognition systems that do not account for aspect ratio distortion in resized images.

How does this technology compare to existing image recognition systems in terms of accuracy and efficiency?

This article does not provide a direct comparison between this technology and existing image recognition systems.

What are the limitations of this technology in identifying attribute information of highly distorted images?

This article does not address the specific limitations of this technology in identifying attribute information of highly distorted images.

Original Abstract Submitted

An image identifying apparatus includes: an obtainer that obtains image data; an image processor that generates test image data by performing resizing to reduce the image data with predetermined aspect ratio distortion; a storage unit that stores a machine learning model used to identify attribute information of the test image data; and an identifier that identifies the attribute information of the test image data, using the machine learning model. The machine learning model includes trained parameters that have been adjusted through machine learning using a training data set including items of second training image data obtained through application of one or more types of aspect ratio distortion including the predetermined aspect ratio distortion to each of items of first training image data, and items of attribute information associated with the items of second training image data.