Abstract: A system according to an embodiment of the present disclosure is a system for displaying a video captured by a camera connected to a network. The system is configured to set, in response to instructions from a user, a first threshold regarding the number of people staying in a target area and a second threshold regarding a period of time during which the people stay in the target area, measure the number of people staying in the target area and a period of time during which the people stay in the target area, generate a thumbnail showing a video when the number of people staying in the target area for a period of time equal to or longer than the second threshold is equal to or greater than the first threshold, and display the thumbnail generated.

Abstract: An image-processing apparatus including: an image processor including circuitry or a hardware processor that operates under control of a stored program, the image processor being configured to execute processes including: a saliency-map calculating process that calculates saliency maps on a basis of at least one type of feature quantity obtained from an input image; a salient-region-identifying process that identifies a salient region by using the saliency maps; a salient-region-score-calculating process that calculates a score of the salient region by comparing a distribution of values of the saliency map in the salient region and a distribution of values of the saliency map in a region other than the salient region; and a saliency-evaluating process that evaluates the saliency of the salient region on a basis of the score.

Abstract: An image processing apparatus includes a processor configured to execute: acquiring image data; generating first interpolation image data associated with light having a red wavelength band, second interpolation image data associated with light having a green wavelength band, third interpolation image data associated with light having a blue wavelength band, and fourth interpolation image data associated with narrow band light; performing a color space conversion process for converting each of the first to the third interpolation image data to a luminance component and a color difference component; extracting a first specific frequency component included in the fourth interpolation image data; combining the converted luminance component with the extracted first specific frequency component; and generating color image data based on a combination result obtained by the combining and based on the color difference component.

Abstract: An imaging abnormality diagnosis device is configured to: acquire an image of surroundings of a vehicle captured by a vehicle-mounted camera; acquire 3D information of surroundings of the vehicle detected by a 3D sensor; identify a region of the image in which an object should appear based on the acquired 3D information t; analyze the image to thereby detect an imaging degree as a degree by which an object is captured in a predetermined region of the image; and judge that an abnormality has occurred in imaging by the vehicle-mounted camera when the imaging degree in the region, in which the object should appear, is equal to or less than a predetermined degree.

Abstract: An image processing apparatus includes a processor configured to execute: acquiring image data; generating first interpolation image data associated with light having a red wavelength band, second interpolation image data associated with light having a green wavelength band, third interpolation image data associated with light having a blue wavelength band, and fourth interpolation image data associated with narrow band light; performing a color space conversion process for converting each of the first to the third interpolation image data to a luminance component and a color difference component; extracting a first specific frequency component included in the fourth interpolation image data; combining the converted luminance component with the extracted first specific frequency component; and generating color image data based on a combination result obtained by the combining and based on the color difference component.

Abstract: An image-processing apparatus including: an image processor including circuitry or a hardware processor that operates under control of a stored program, the image processor being configured to execute processes including: a saliency-map calculating process that calculates saliency maps on a basis of at least one type of feature quantity obtained from an input image; a salient-region-identifying process that identifies a salient region by using the saliency maps; a salient-region-score-calculating process that calculates a score of the salient region by comparing a distribution of values of the saliency map in the salient region and a distribution of values of the saliency map in a region other than the salient region; and a saliency-evaluating process that evaluates the saliency of the salient region on a basis of the score.