An information processing apparatus comprising circuitry configured to: determine an additional component to be added to a material image drawn on a medium; generate a modified image in which the determined additional component is added to the material image; and store the generated modified image.

Various aspects of the subject technology relate to systems, methods, and machine-readable media for authentic content search using style classifications. A system may be a search engine that uses a set of style classifiers to detect one or more styles associated with an image and a logistic regression model to determine a level of authenticity for the image based on the associated styles. Training images are fed to train a series of neural networks that output a set of style classifiers. An image is processed through the style classifiers to determine respective probabilities for each style classification. The results from the set of style classifiers are then input to the logistic regression model to determine an authenticity score for the image. For example, the authenticity score shows how authentic is an image (e.g., a score of 1.0 refers to 100% authenticity, whereas a score of 0.0 represents a non-authentic image).

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing content. One of the methods includes receiving a target image at an image platform; determining one or more images related to the target image; determining queries associated with the related images; deriving candidate keywords from the determined queries; filtering the candidate keywords to select one or more keywords; and providing the image to one or more users in response to respective incoming queries based on the one or more keywords.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing content. One of the methods includes receiving a target image at an image platform; determining one or more images related to the target image; determining queries associated with the related images; deriving candidate keywords from the determined queries; filtering the candidate keywords to select one or more keywords; and providing the image to one or more users in response to respective incoming queries based on the one or more keywords.

Technologies generally described herein relate to a computing device for an input assistance scheme. Example computing devices may include at least one processor; and at least one memory. The at least one memory may store instructions. The at least one processor executes the instructions to perform operations. The operations may comprise obtaining an input image containing an object; transmitting the input image to a server; receiving, from the server, information data of one or more searched images containing the object; and generating a reference dataset for the object based, at least in part, on the information data, wherein the reference dataset includes at least some of the information data.

An online/electronic platform for hosting images, wherein the online platform can associate the images to the geographical address at which the images are taken and the time at which the images are taken. The disclosed platform provides an interface on an electronic device to upload images to the online platform. The interface may also allow a user to capture the images for uploading to the online platform.

This computerized system can include a computer system in communication with an immutable storage; a first data capture device and a second data capture device can be in communications with the computer system; a set of computer readable instructions can be included in the computer system configured for receiving a first event record including a first location, a first time and a first set of metadata wherein the first set of metadata includes an original digital representation captured by the first data capture device of the physical object, receiving a subsequent event record from the second data capture device and, determining if the original digital representation is equivalent to the subsequent digital representation thereby providing for verification that the same physical object transitioned from an originating event to a subsequent event.

Logo candidates for a specific ISO data can be identified from external resources based on the enriched merchant data. Low quality images of the logo candidates are filtered out with image analysis including entropy ratio evaluations of the logo candidates. Also, the logo candidates are processed with high quality filtering including classification of the logo candidates with a deep learning classifier for distinguishing logos from non-logos. A logo from the logo candidates is selected to associate with the ISO data packets. A display having the selected logo associated with a transaction of the ISO data packets can be generated for display to users.

Embodiments of the present invention are directed towards providing contextual tags for an image based on a contextual analysis of associated images captured in the same environment as the image. To determine contextual tags, content tags can be determined for images. The determined content tags can be associated with categories based on a contextual classification of the content tags. These associated content tags can then be designated as contextual tags for a respective category. To associate these contextual tags with the images, the images can be iterated through based on how the images relate to the contextual tags. For instance, when an image is associated with a category, the contextual tags classified into that category can be assigned to that image.

Personal companions crowd-source and/or crowd-share characterizations, and optionally raw data, from real-world, virtual and/or mixed-reality experiences. Characterizations can advantageously be stored in one or more self-evolving, structured databases, and can be organized according to objects, actions, events and thoughts. Characterizations can be weighted differently for different users, and “forgotten” over time, especially in favor of maintaining higher level characterizations. Personal companions can be used to obtain additional information, and conduct interpersonal, commercial, or other interactions or transactions.