Techniques for providing recommended keywords in response to an image-based query are disclosed herein. In particular, various embodiments utilize an image matching service to identify recommended search keywords associated with image data received from a user. The search keywords can be used to perform a keyword search to identify content associated with an image input that may be relevant. For example, an image search query can be received from a user. The image search query may result in multiple different types of content that are associated with the image. The system may present keywords associated with matching images to allow a user to further refine their search and/or find other related products that may not match with the particular image. This enables users to quickly refine a search using keywords that may be difficult to identify otherwise and to find the most relevant content for the user.

A computer-implemented method executed by at least one processor for detecting tattoos on a human body is presented. The method includes inputting a plurality of images into a tattoo detection module, selecting one or more images of the plurality of images including tattoos with at least three keypoints, the at least three keypoints having auxiliary information related to the tattoos, manually labeling tattoo locations in the plurality of images including tattoos to create labeled tattoo images, increasing a size of the labeled tattoo images identified to be below a predetermined threshold by padding a width and height of the labeled tattoo images, training two different tattoo detection deep learning models with the labeled tattoo images defining tattoo training data, and executing either the first tattoo detection deep learning model or the second tattoo detection deep learning model based on a performance of a general-purpose graphical processing unit.

For searching virtual content information, a processor searches the virtual content information including a virtual object contour. The processor further retrieves an image based on the virtual content information.

The present invention provides an information processing apparatus and a method of controlling the same. The information processing apparatus has a console unit that accepts an instruction by a user via a button displayed on a screen. The information processing apparatus registers a setting for executing processing corresponding to the button, prompts a user to input identification information to be added to image data generated by a function corresponding to the button, and when the button is instructed via the console unit, the information processing apparatus outputs the image data to which the identification information has been added to a destination corresponding to the setting which is registered in association with the button.

In accordance with example embodiments, the method and system for film previsualization provides users with real-time previsualization guidance. In accordance with example embodiments, the method includes scanning a set using a mobile camera system; setting a master shot position in the set; tagging a position of one or more subjects within the set; calculating one or more camera positions based on the position of the master shot and the position of the one or more subjects; and displaying on the display of the mobile camera system the location of the one or more camera positions on a map of the set. In accordance with example embodiments, the method further includes overlaying selected composition guides over a camera live view on the display of the mobile camera system.

In accordance with example embodiments, the method and system for film previsualization provides users with real-time previsualization guidance. In accordance with example embodiments, the method includes scanning a set using a mobile camera system; setting a master shot position in the set; tagging a position of one or more subjects within the set; calculating one or more camera positions based on the position of the master shot and the position of the one or more subjects; and displaying on the display of the mobile camera system the location of the one or more camera positions on a map of the set. In accordance with example embodiments, the method further includes overlaying selected composition guides over a camera live view on the display of the mobile camera system.

Techniques are described for real time monitoring and tagging of media content generated during a service session between an individual and a service representative (SR). Media content received during a service session may be dynamically tagged with one or more metadata tags during the service session, the tag(s) indicating portion(s) of the media content that potentially include sensitive information. Tagging may be based on a SR's gestures, clicks, keystrokes, mouse-overs, and/or other actions performed in a SR user interface (UI) during the service session. The media content may be redacted based on the tags to remove and/or obfuscate potentially sensitive information.

According to one embodiment, in response to a search query received from a client, a search is performed in a content database to identify a list of one or more content items based on one or more keywords of the search query. A first search is performed in an image store to identify a first set of one or more images using a first image searching method. A second search is performed in the image store to identify a second set of one or more images using a second image searching method that is different than the first image searching method. A search result is transmitted to the client, the search result having at least a portion of the content items to the client. Each content item is associated with one of the images selected from the first set of images or the second set of images.

Provided is a computer system, method and storage medium for determining a platform type of a forensic image. The method includes storing in a memory a mapping data structure mapping at least one predetermined data marker type to at least one platform type and automatically determining the platform type by scanning the forensic image for the at least one predetermined data marker type. The method further includes, where at least one data marker is detected, mapping the at least one data marker to at least one platform type using the mapping data structure. The method further includes, where at least one data marker is not detected, examining the forensic image to identify a set of present data elements, determining, according to at least one encoded rule, a most likely platform type. The method further includes assigning the platform type or the most likely platform type as the determined platform type.

A remote vehicle including an onboard image processing is described. The generated image tags may be provided to a requester in real-time, be used to navigate a remote vehicle, and/or be used to detect a target. Image recognition may occur on a client and/or mobile device, e.g., a drone. The vehicle is optionally configured to fall-over between manual navigation and autonomous navigation, the autonomous navigation optionally being dependent on the image processing.