Apparatuses, methods, and storage medium associated with a browser for prioritized display of videos and/or photographs are disclosed herein. In embodiments, an apparatus may include one or more processors, devices, and/or circuitry to operate a browser to present a plurality of photos and/or videos for viewing. A subset of the plurality of the photos and/or videos may be selected based on the results of an analysis of sensor data collected by a plurality of wearable sensors. The subset of the plurality of the photos and/or videos may be prioritized over other photos and/or videos from the plurality of the photos and/or videos in terms of presentation space allocated for presentation.

A system and method for capturing a location based experience at an event including a plurality of mobile devices having a camera employed near a point of interest to capture random, crowdsourced images and associated metadata near said point of interest. In a preferred form, the images include depth camera information from prepositioned devices around the point of interest during the event. A network communicates images, depth information, and metadata to build a 3D model of the region, preferably with the location of contributors known. Users connect to this experience platform to view the 3D model from a user selected location and orientation and to participate in experiences with, for example, a social network.

An electronic apparatus is provided. The electronic apparatus includes a camera, a storage, and a processor configured to store an image photographed by the camera and metadata of the image in the storage, the processor is further configured to identify whether first information related to the image is obtainable, based on the first information not being obtainable, generate metadata related to the first information based on second information, and store the generated metadata as metadata of the image.

Provided are an information suggestion system, an information suggestion method, a program, and a recording medium capable of suggesting information of interest to many users to a product provider related to the information from an image group of a plurality of users.

In the information suggestion system, the information suggestion method, the program, and the recording medium, an image group acquisition unit acquires an image group of a plurality of users, and an image analysis unit detects an imaging location of each image and an object appearing in each image. An imaging number count unit counts an imaging number of same-type images which are captured at the same imaging location and in which the same object appears, and an imaging frequency calculation unit calculates an imaging frequency of the same-type images. An information suggestion unit suggests same-type image information related to the same imaging location and the same object of the same-type image of which the imaging number and the imaging frequency satisfy a predetermined condition to a product provider related to the same-type image information.

Various aspects of the subject technology relate to systems, methods, and machine-readable media for searching and presenting undiscovered images. A system may receive a first user input specifying a search query for content from a client device. The system may initiate an image search in response to receiving the search query. The system may provide a first search result comprising a first list of images to the client device. The system may receive a second user input selecting an image from the first search result from the client device. The system may provide a second search result comprising a second list of images to the client device, based on the second user input, a similarity index, and a filtering criteria.

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.

Embodiments of the present invention provide a method for recognizing an object in a photo and determining a terminal associated with the object in the photo. The method includes: determining an object in a photo by using a biological feature recognition technology; and determining a terminal that belongs to the object in the photo based on object-terminal relationship information, so that a an apparatus such as a smart device automatically obtains information about the terminal that belongs to the object in the photo, and shares the photo with the terminal.

A system is provided for identifying damages of a vehicle. During operation, the system can obtain a set of digital images associated with a set of tagged digital images as training data. Each tagged digital image in the set of tagged digital images may include at least one damage object. Based on the training data, the system can train a damage identification model by reducing noise associated with the damage object; generating a set of feature vectors for the training data; and using the set of feature vectors to optimize a set of parameters associated with the damage identification model to obtain a trained damage identification model. The system can then apply the trained damage identification model to obtain a damage category prediction result and determine a repair solution based on the damage category prediction result.

A system for identifying perishable products in a retail store based on analysis of image data and for automatically generating suggestions relating to the identified products is provided. The system may comprise at least one processor configured to: receive a set of images depicting a plurality of perishable products displayed on at least one shelving unit in a retail store; analyze the set of images to determine information about a displayed inventory of the plurality of perishable products; obtain information about additional perishable products scheduled to be displayed on the at least one shelving unit; use the information about the displayed inventory and the information about the additional perishable products to determine at least one suggestion regarding placement of perishable products in the retail store; and provide the at least one suggestion to an entity associated with the retail store.

Methods, systems, and apparatus including computer programs encoded on a computer storage medium, for retrieving image search results using embedding neural network models. In one aspect, an image search query is received. A respective pair numeric embedding for each of a plurality of image-landing page pairs is determined. Each pair numeric embedding is a numeric representation in an embedding space. An image search query embedding neural network processes features of the image search query and generates a query numeric embedding. The query numeric embedding is a numeric representation of the image search query in the same embedding space. A subset of the image-landing page pairs having pair numeric embeddings that are closest to the query numeric embedding of the image search query in the embedding space are identified as first candidate image search results.