An electronic device is provided. The electronic device includes a memory configured to store contents, a display configured to output the contents, and a processor operatively connected with the memory and the display. The memory is further configured to store instructions that, when executed, cause the processor to, in response to a first user input, select at least one contents satisfying a specified condition among a plurality of contents stored in the memory, output a first screen composed of the selected at least one contents in the display, and if a second user input to end the output of the first screen is received, output a second screen for verification of a user of the electronic device in the display.

An electronic device is provided. The electronic device includes a memory configured to store contents, a display configured to output the contents, and a processor operatively connected with the memory and the display. The memory is further configured to store instructions that, when executed, cause the processor to, in response to a first user input, select at least one contents satisfying a specified condition among a plurality of contents stored in the memory, output a first screen composed of the selected at least one contents in the display, and if a second user input to end the output of the first screen is received, output a second screen for verification of a user of the electronic device in the display.

Implementations are described herein for automatically annotating or curating digital images using various signals generated by individual users, in addition to or instead of content of the digital images themselves, thereby to enable the digital images to be retrieved from a searchable database based on their annotations. In particular, techniques are described herein for identifying events associated with a user, e.g., based on natural language input provided by a user, and automatically classifying/annotating images inferred to be related to those events.

Implementations are described herein for automatically annotating or curating digital images using various signals generated by individual users, in addition to or instead of content of the digital images themselves, thereby to enable the digital images to be retrieved from a searchable database based on their annotations. In particular, techniques are described herein for identifying events associated with a user, e.g., based on natural language input provided by a user, and automatically classifying/annotating images inferred to be related to those events.

Described is a system and method for enabling visual search for information. With each selection of an object included in an image, additional images that include visually similar objects are determined and presented to the user.

An image recognition method, a terminal, and a storage medium are provided. The method includes: performing feature extraction on a to-be-recognized image by using an encoder, to obtain a feature vector and a first annotation vector set; performing initialization processing on the feature vector, to obtain first initial input data; and generating first guiding information based on the first annotation vector set by using a first guiding network model. The first guiding network model is configured to generate guiding information according to an annotation vector set of any image. The method also includes determining a descriptive statement of the image based on the first guiding information, the first annotation vector set, and the first initial input data by using a decoder.

An image processing apparatus, an image processing method, a program, and a recording medium storing the program capable of extracting, from an input first image group, an image similar to an image extracted from a reference image group are provided. A first image group including a plurality of images of a user is transmitted to an order reception server. A second image group similar to the first image group is searched from a plurality of reference image groups stored in the order reception server. An image similar to an image previously extracted from the second image group is extracted from the first image group. An album is generated by arranging the image extracted from the first image group in a layout similar to a layout of an album generated from the second image group.

Systems and methods for identification and retrieval of content for visual search are provided. An example method includes receiving data specifying a digital supplement. The data may identify a digital supplement and a supplement anchor for associating the digital supplement with visual content. The method may also include generating a data structure instance that specifies the digital supplement and the supplement anchor and, after generating the data structure instance, enabling triggering of the digital supplement by an image based at least on storing the data structure instance in a database that includes a plurality of other data structure instances. The other data structure instances may each specify a digital supplement and one or more supplement anchors.

Systems and methods for identification and retrieval of content for visual search are provided. An example method includes receiving data specifying a digital supplement. The data may identify a digital supplement and a supplement anchor for associating the digital supplement with visual content. The method may also include generating a data structure instance that specifies the digital supplement and the supplement anchor and, after generating the data structure instance, enabling triggering of the digital supplement by an image based at least on storing the data structure instance in a database that includes a plurality of other data structure instances. The other data structure instances may each specify a digital supplement and one or more supplement anchors.

A method of obtaining an image tile from a server by a client includes a client submitting a request to a server for extracting an image tile from a compressed image file. The server controls access to the compressed image file, the compressed image file contains multiple different resolution image layers and the image tile is to be extracted from one of these image layers. The request includes the identity of the image layer and the coordinates of the image tile in the image layer. The server extracts the requested image tile directly from the image layer in the compressed image file using the request and transfers image tile to the client at the decompressed image resolution and quality such that the image tile can be displayed on a display of the client.