A platform for design of a lighting installation generally includes an automated search engine for retrieving and storing a plurality of lighting objects in a lighting object library and a lighting design environment providing a visual representation of a lighting space containing lighting space objects and lighting objects. The visual representation is based on properties of the lighting space objects and lighting objects obtained from the lighting object library. A plurality of aesthetic filters is configured to permit a designer in a design environment to adjust parameters of the plurality of lighting objects handled in the design environment to provide a desired collective lighting effect using the plurality of lighting objects.

A system, apparatus, method, and non-transitory computer readable medium for performing image search verification using an online platform may include a memory storing computer readable instructions and a database corresponding to a neural network associated with the online platform, and processing circuitry configured to execute the computer readable instructions. The processing circuitry may cause the server to receive an image-based search query from a first user device, the image-based search query including at least one image including a search object, and search query parameters related to the search object, analyze the search object using the neural network to determine an object type of the search object and at least one object type specific characteristic of the search object, and receive at least one search result response from at least one second user device.

A seating reservation system running on a network server has functionality that can be trained to detect information relating to individual seats, their locations, and different seating types in a new or modified seating plan loaded into the system. This detected seating information can be maintained in seating plan files that can be edited to include metadata. Upon request, by a client application running under control a user, portions or all of the information in a seating plan file can be transferred as a web page to the client application for display and interaction with by the client application user for the purpose of completing a seat reservation process.

In some aspects, the described systems and methods provide for a method for training a model to predict survival time for a patient. The method includes accessing annotated pathology images associated with a first group of patients in a clinical trial. Each of the annotated pathology images is associated with survival data for a respective patient. Each of the annotated pathology images includes an annotation describing a tissue characteristic category for a portion of the image. Values for one or more features are extracted from each of the annotated pathology images. A model is trained based on the survival data and the extracted values for the features. The trained model is stored on a storage device.

Various disclosed embodiments are directed to classify or determining an image style of a target image according to a consumer application based on determining a similarity score between the image style of a target image and one or more other predetermined image styles of the consumer application. Various disclosed embodiments can resolve image style transfer destructiveness functionality by making various layers of predetermined image styles modifiable. Further various embodiments resolve tedious manual user input requirements and reduce computing resource consumption, among other things.

Systems and methods for fine adjustment of computerized roof models are provided. The system generates a 3D roof structure model based on at least one image obtained from an aerial imagery database. Alternatively, the system could retrieve at least one stored 3D roof structure model from a 3D roof structure model database. The system weighs (e.g., scores) each 3D roof structure model candidate and determines an optimal 3D roof structure model by applying a variable neighborhood search to a 3D roof structure model candidate having a highest confidence score among the weighed 3D roof structure model candidates.

Systems and methods that compare a validation image to one or more confirmation data sets, wherein each of the one or more confirmation sets is formed based on matching a document image and a confirmation image. In at least one example, one or more vehicle operability actions may be performed responsive to the validation image matching a confirmation data set of the one or more confirmation data sets. A refusal action may further be performed responsive to the validation image not matching the confirmation data, for example.

A computer implemented method is for providing user devices with alternative content. The method includes: defining a plurality of search parameters; crawling the world wide web or selected parts thereof, or searching predefined web sites, to identify content matching one or more of said search parameters; generating image triggers by extracting the identified content or generating digital fingerprints indicative of the identified content; storing the image triggers in a database, together with respective alternative content or alternative content identifiers; receiving an image captured from a printed or displayed medium at an end user device; searching the captured image to identify a presence of at least one of the image triggers in the captured image; and causing alternative content corresponding to the at least one of the image triggers to be displayed or presented at the end user device, or a respective other device associated with the end user device.

According to the present invention, there is provided an information processing system (100) including an acquisition unit (11) that acquires an image, which is generated by a camera, of a face, a selection unit (14) that extracts a person in the acquired image, and selects a person who performs a settlement process based on at least one of a distance from a checkout apparatus, an appearance frequency, and an appearance period of time in a case where a plurality of persons are extracted, an identification unit (12) that identifies the selected person based on the image in which the person is included, and database information in which a feature value of a face is registered, a settlement unit (checkout unit (21)) that performs the settlement process with respect to the identified person.

Provided are a method and apparatus for processing map information, a device, and a storage medium which relate to the field of computer technology and, in particular, to the fields of intelligent transportation and computer vision technology. The specific implementation includes that an object in an image for query is recognized to obtain an object recognition result and that a target point of interest matching the image for query is selected from at least one candidate point of interest of an electronic map according to the object recognition result.