A virtual reality (VR) labeling computer system configured to receive a 3D model, process the 3D model using object recognition, identify at least one environmental feature within the 3D model, generate a processed 3D model including the at least one environmental feature, display a VR environment based upon the processed 3D model; receive user input including labeling data associated with the environmental feature; generate a labeled 3D model by embedding the labeling data into the processed 3D model; and generate training data based upon the labeled 3D model.

An image processing method, an electronic device and a readable storage medium, which relate to the technical field of computer vision, are disclosed. In an embodiment, a face recognition module and a service processing module maintains respectively an image buffer queue; the face recognition module maintains a face image buffer queue of face images, and the service processing module maintains a background image buffer queue of background images, i.e., first images; since the face recognition module only maintains the face image buffer queue, only a determined optimal face image, i.e., a face image to be matched, is transmitted to the service processing module, and then, the service processing module determines a background image matched with the optimal face image transmitted by the face recognition module from the maintained background image buffer queue, thus performing image recognition and image matching on a face appearing in a video source.

A search query processing system that generates an ordered set of images that includes a search result. A location of a given image in the set of ordered images is based on a context of the search result and a pathway of physical progression of a subject. The search query processing system returns a set of search results based on a theme and a search result rule that relates to at least one of the following: (i) a manner in which the ordered set of search results are organized, or (ii) a scope of search results to be returned.

A method for identifying a dynamic checkout button with a contextual offer includes: storing, a plurality of offer data entries, each including display data, a wallet identifier, and a merchant identifier; receiving a page request from an external server, the page request including a specific merchant identifier and a device identifier; receiving a data file from a computing device corresponding to the device identifier, the data file including a specific wallet identifier; identifying a specific offer data entry where the included wallet identifier corresponds to the specific wallet identifier and where the included merchant identifier corresponds to the specific merchant identifier; identifying an image file associated with the specific wallet identifier, wherein the image file includes at least the display data included in the specific offer data entry; and transmitting the identified image file to the external server in response to the page request.

A method for identifying a dynamic checkout button with a contextual offer includes: storing, a plurality of offer data entries, each including display data, a wallet identifier, and a merchant identifier; receiving a page request from an external server, the page request including a specific merchant identifier and a device identifier; receiving a data file from a computing device corresponding to the device identifier, the data file including a specific wallet identifier; identifying a specific offer data entry where the included wallet identifier corresponds to the specific wallet identifier and where the included merchant identifier corresponds to the specific merchant identifier; identifying an image file associated with the specific wallet identifier, wherein the image file includes at least the display data included in the specific offer data entry; and transmitting the identified image file to the external server in response to the page request.

Systems, apparatuses, interfaces, and methods for implementing the systems, apparatuses, and interfaces include capturing an image, displaying the image on a display devise, scanning and identifying objects and/or attributes associated with the image and/or objects therein, generating a 3D AR environment within the display overlaid on the image, generating a ray pointer for improved interaction with the image and the generated 3D AR environment, where the environment includes virtual constructs corresponding to the image objects and/or attributes, and selecting, activating, animating, and/or manipulating the virtual constructs within the 3D AR environment.

A computer-implemented method of associating digital tags with digital files comprises storing a plurality of digital files having embedded therein content data and metadata including tags; receiving, via a user interface device of a client device, a first tag label containing alphanumeric text created and inputted by a user of the client device; modifying, using a controller device, a selected first one of the tags of the metadata in a first of the digital files to include the first tag label; receiving, via the user interface device or another user interface device, an instruction to search for all of the digital files having at least the first tag label; responsive to receiving the instruction, automatically searching for all of the digital files having at least the first tag label; and displaying, on a video display device associated with the client device, a first indication of the first tag label.

Systems and methods of the present disclosure are directed to analyzing screenshots A system can include a computing device including a processor coupled to a memory and a display screen configured to display content. The system can include an application stored on the memory and executable by the processor. The application can include a screenshot receiver configured to access, from storage to which a screenshot of the content displayed on the display screen captured using a screenshot function of the computing device is stored, the screenshot including an image and a predetermined marker. The application can include a marker detector configured to detect the predetermined marker included in the screenshot. The application can include a link identifier configured to identify, using the predetermined marker, a link to a resource mapped to the image included in the screenshot, the resource accessible by the computing device via the link.

A plurality of on-road vehicles moving along streets of a city, while utilizing onboard cameras for autonomous driving functions, are bound to capture, over time, random images of various city objects such as structures and street signs. Images of a certain city object may be captured by many of the vehicles at various times while passing by that object, thereby resulting in a corpus of imagery data containing various random images and other representations of that certain object. Per each of at least some of the city objects appearing more than once in the corpus of imagery data, appearances are detected and linked, and then analyzed to uncover behaviors associated with that city object, thereby eventually, over time, revealing various city dynamics associated with many city objects.

According to the present invention, disclosed are a virtual reality gallery system and a method for providing a virtual reality gallery service, the VR gallery service providing server includes a processor configured to control work upload data including at least one original image to be received from the first user terminal and a virtual reality (VR) gallery for online viewing of the original image to be generated using the work upload data. such that a user may view works in virtual reality.