This application relates to systems and methods for scaling and assembling framed images, and to offering the framed images for purchase. In some embodiments, a computing device is configured to receive a first customer selection of a frame style and a frame size, where the frame size indicates dimensions of a frame window. The computing device is also configured to receive a second customer selection of a mat style. Further, the computing device is configured to determine, based at least on the dimensions of the frame window and the mat style, a mat size, where the mat size includes dimensions of a mat window. The computing device is also configured to determine, based at least on the dimensions of the mat window, an image size for an image. For example, the computing device may execute a rule-based model, or a machine learning model, to determine the image size.

A drone autonomously operates to track an object, track an object while being stealthy and/or observe the details of an object while maintaining communication at a rate equal to or greater than a threshold. A drone may operate to maintain the image of an object at or above a predetermined resolution in an image captured by a camera mounted on the drone and to maintain a wireless communication rate equal to or greater than a threshold rate. A drone may operate so that the sound intensity level caused by the operation of the drone is less than or equal to a sound intensity level threshold as perceived by an object (e.g., person, target, suspect) being tracked.

Described herein is a computer implemented method. The method includes selecting a plurality of elements on a design page and, for each selected element, determining a plurality of edge bleed pairs, each edge bleed pair including a particular edge and a particular bleed of the design page. Each edge bleed pair is processed to determine whether the selected element should be resized, the determination being based on the position of the particular edge relative to the particular bleed. If the determination is that the element should be resized, the method involves resizing the selected element so that the element covers a greater portion of the particular bleed than was originally covered by the element.

An image processing method is an image processing method of a recording device. The image processing method includes inputting the image data having a resolution in a sub scanning direction of X×N dpi, performing data processing on the image data for each N-unit region, performing resolution reduction processing of reducing, to 1/N, a resolution in the sub scanning direction, and generating a recording data based on the reduced image data. In the data processing step, when the N-unit region is formed of a pixel having a black gradation value and a pixel having a gradation value that is equal to or greater than a predetermined value when expressed by RGB, and the pixel having the black gradation value is consecutive from another N-unit region adjacent to the N-unit region, a black dot is generated in a pixel after the resolution reduction processing.

An image capturing method can be applied to an application, and include: determining a dimension adjustment approach set for a preset object in an acquired image to be processed after a dimension adjustment function of the application is turned on; and obtaining and displaying an adjusted image by adjusting a dimension of the preset object in the image to be processed according to the dimension adjustment approach, so as to support real-time preview of the adjusted image. As the dimension of the preset object in the image to be processed is adjusted in the image capturing process, the image capturing experience of the user is improved, and satisfying photos or videos can be obtained quickly.

A device, a process execution system, a process execution method, and a non-transitory recording medium. The device requests an information processing system to perform a second process using result of a first process executed by the device, displays on a display, result of the second process acquired from the information processing system, and receives a request for the device to execute the first process again.

A device, a process execution system, a process execution method, and a non-transitory recording medium. The device requests an information processing system to perform a second process using result of a first process executed by the device, displays on a display, result of the second process acquired from the information processing system, and receives a request for the device to execute the first process again.

An apparatus for scaling images is provided that includes at least two input ports, a scaling component coupled to the at least two input ports, the scaling component including a plurality of scalers, the scaling component configurable to map any scaler to any input port of the at least two input ports and configurable to map more than one scaler to any input port, and a memory coupled to the at least two input ports and to outputs of the plurality of scalers, the memory configured to store image data for each input port and scaled image data output by the plurality of scalers.

An apparatus for scaling images is provided that includes at least two input ports, a scaling component coupled to the at least two input ports, the scaling component including a plurality of scalers, the scaling component configurable to map any scaler to any input port of the at least two input ports and configurable to map more than one scaler to any input port, and a memory coupled to the at least two input ports and to outputs of the plurality of scalers, the memory configured to store image data for each input port and scaled image data output by the plurality of scalers.

An information processing apparatus includes a processor configured to acquire a manuscript image and an additional image added to the manuscript image, and reduce an image area other than a blank area in the manuscript image so that the additional image fits in the blank area of the manuscript image.