ROI (Region of Interest) detection is an important step in extracting relevant information from a document image. Such images are very high-resolution images in nature and size of images is in order of megabytes, which makes text detection pipeline very slow. Traditional methods detect and extract ROI from images, but these work only for specific image types. Other approaches include deep learning (DL) based methods for ROI detect which need intensive training and require high end computing infrastructure/resources with graphical processing unit (GPU) capabilities. Systems and methods of the present disclosure perform ROI extraction by partitioning input image into parts based on its visual perception and then classify the image in first or second category. Region of interest is extracted from a resized image based on the classification by applying image processing techniques. Further, the system determines whether the input image is a pre-cropped image or a normal scanned image.

An image processing apparatus acquires a plurality of pieces of image data sequentially outputted from an imager and, in accordance with reception of an image capturing instruction to capture a still image, specify as image data to be processed a plurality of pieces of image data in a period that includes a timing at which the still image is captured. The image processing apparatus, based on an action of a subject estimated using the image data to be processed, add information that indicates the action of the subject to data of the still image.

According to an aspect of the disclosure, an information processing apparatus comprising a communication circuit and a control circuit is provided. The control circuit transmits reduced image data of captured image data, to a first external apparatus through the communication circuit; receives, from the first external apparatus, a result of evaluation processing applied to the reduced image data; on the basis of the result of the evaluation processing, determines whether to apply image processing to the captured image data corresponding to the reduced image data, by a second external apparatus; transmits the captured image data that is determined to be applied the image processing, to the second external apparatus through the communication circuit; and receives, from the second external apparatus, a result of the image processing applied to the captured image data.

A server computing device can (1) managing a plurality of album artwork templates, wherein each album artwork template of the plurality of album artwork templates includes a plurality of entries, and each entry of the plurality of entries defines a respective manner by which a respective album artwork image is to be generated, (2) receiving, from a client device, a request for an album artwork image, wherein the request includes: a first identifier that corresponds to a particular image of an artist, a second identifier that corresponds to a particular album artwork template of the plurality of album artwork templates, and locale information that corresponds to a particular entry of the particular album artwork template, and (3) generating the album artwork image according to the respective manner defined by the particular entry, wherein the album artwork image is based at least in part on the particular image of the artist.

A system and method for creating customized, personally relevant greeting cards, e-cards, mementos, invitations, decorations, and other types of printed and virtual media to convey affection, friendship, emotional connections, celebration, gratitude, condolence and other types of sentiments to relatives, friends, coworkers, business associates, and acquaintances regardless of the cultural backgrounds of the giver and the recipient.

A system, method, and computer program product are provided for exchanging images. In use, one or more images are received at a server. Additionally, the one or more images are analyzed. Further, image processing code is outputted referencing the one or more images, based on the analysis of the one or more images. Additional systems, methods, and computer program products are also presented.

An electronic album editing device acquires image information and metadata from a storage unit and generates image data. An image identification device includes an image acquisition unit and an image identification unit. The image acquisition unit acquires image information and metadata corresponding to the image information. The image identification unit identifies a type of the acquired image information. The image identification unit identifies a target image as image information for which an actual size ratio can be specified if the metadata includes first information for ascertaining a size when a pixel size of the image information is projected to an object side. An actual size ratio calculation unit calculates an image size corresponding to the actual size ratio using the metadata when the image identification unit has identified an image for which the actual size ratio can be specified.

Systems and methods of co-editing a design for a printed product is disclosed. According to certain aspects, a server may store tool state variable(s) corresponding to editing tool(s) included in a printed product editor in a database; receive, from a first electronic device executing a first instantiation of the printed product editor, a request for a collaborative communication session with a second electronic device executing a second instantiation of the printed product editor; generate the collaborative communication session between the two devices in response to the request, the collaborative communication session including a state of editing tool(s) of the first instantiation of the printed product editor; update the tool state variable(s) corresponding to the state of editing tool(s) of the first instantiation in the database; and synchronize a state of editing tool(s) of the second instantiation in response to the updating.

A digital camera with a printer is a digital camera with a printer and includes a communication unit that communicates with a digital camera with a printer that is another apparatus, and an image composition unit that generates a composite image in which a first image captured by the digital camera with a printer that is an owned apparatus and a second image captured by the other apparatus are composited, in which the communication unit transmits the composite image to the other apparatus. A user of the other apparatus can also obtain the composite image. Accordingly, the composite image can be enjoyed by capturing images using a plurality of cameras.

An image processing apparatus includes a processor. The processor is configured to execute a program to input, to a learning unit, capture setting information that is used to capture an image before color conversion, a lightness of a background region of the image before the color conversion, and a set of the image before the color conversion and an image after the color conversion, and prepare color conversion characteristics for performing color conversion on an image in accordance with the capture setting information and the lightness of the background region.