The present disclosure is directed to two information processing methods and an information processing apparatus. An information processing method includes determining, by processing circuitry of the information processing apparatus, an original image having an original image size and a storage path of the original image. The information processing method also includes determining a sample image having a sample image size from the original image by adjusting at least one image parameter. The sample image size is smaller than the original image size. The information processing method includes sending the sample image and the storage path of the original image to a server device.

The present disclosure is directed to two information processing methods and an information processing apparatus. An information processing method includes determining, by processing circuitry of the information processing apparatus, an original image having an original image size and a storage path of the original image. The information processing method also includes determining a sample image having a sample image size from the original image by adjusting at least one image parameter. The sample image size is smaller than the original image size. The information processing method includes sending the sample image and the storage path of the original image to a server device.

A method and system are provided. The method includes analyzing, by a hardware processor, one or more images to determine cognitive characteristics related to the one or more images and to a user. The method further includes forming, by the hardware processor, a composable template relating to the cognitive characteristics. The method also includes performing, by the hardware processor or another hardware processor, an amelioration action with respect to a displaying on a display device of at least one image from the one or more images, based on the composable template. The amelioration action is selected from a set of amelioration actions that include transmitting the at least one image to the disturbing image repository.

An approach is provided for selecting and displaying one or more images. A determination is made that a user is in a proximity to a digital picture frame. Weather information is received from a weather sensor coupled to the digital picture frame. The weather information specifies a current weather of a geographic location that includes the digital picture frame. Based on the current weather, an emotional state of the user is determined. Based on user profile information corresponding to the user, image(s) included in multiple images are determined to convey the emotional state of the user. Based on the emotional state of the user and the image(s) conveying the emotional state, the image(s) are displayed on a display included in the digital picture frame.

A vehicle device receives image data transmitted from a compartment camera photographing a driver. The vehicle device analyzes the image data received from the compartment camera, and detects a heart rate of the driver. The vehicle device wirelessly communicates with one or more wearable devices possessed by one or more people who ride on a vehicle. The vehicle device identifies a wearable device possessed by the driver by comparing biometric information transmitted from the one or more wearable devices with the heart rate of the driver.

A training data acquisition method and device, a server and a storage medium are provided. The training data acquisition method is applied to a classifier and includes the following steps: obtaining an image search target according to an input of a user; providing images to the user according to the image search target, to display the images; and selecting at least one image from the displayed images, and determining a target-classification pair as training data according to the at least one image; where the target-classification pair includes the image search target and an entity-based classification of the at least one image. Thus, more high-quality training data can be obtained, improving the performance of a classifier.

A training data acquisition method and device, a server and a storage medium are provided. The training data acquisition method is applied to a classifier and includes the following steps: obtaining an image search target according to an input of a user; providing images to the user according to the image search target, to display the images; and selecting at least one image from the displayed images, and determining a target-classification pair as training data according to the at least one image; where the target-classification pair includes the image search target and an entity-based classification of the at least one image. Thus, more high-quality training data can be obtained, improving the performance of a classifier.

This application is directed to a method for automatically identifying and transferring relevant image data implemented at a server with a processor and memory including one or programs executable by the processor. The server obtains content items from a personal content collection of a user, analyzes the content items to identify attributes associated with the images, generates rule sets based on the identified attributes, applies the generated rule sets to a plurality of unclassified images, identifies a first set of one or more of the unclassified images, associates each image of the first set with the content items and stores the first set in the personal content collection. A second set of unclassified images is placed in a candidate list to be periodically, without user intervention, monitored and updated for storing in the personal content collection. The generated rule sets are updated after images are stored in the content collection.

A system and method for creating a 3D virtual model of an event, such as a wedding or sporting event, and for sharing the event with one or more virtual attendees. Virtual attendees connect to the experience platform to view the 3d virtual model of the event on virtual reality glasses, i.e. a head mounted display, from a virtual gallery, preferably from a user selected location and orientation or a common location and orientation for all virtual attendees. In one form the virtual attendees can see and interact with other virtual attendees in the virtual gallery.

A system and method for creating a 3D virtual model of an event, such as a wedding or sporting event, and for sharing the event with one or more virtual attendees. Virtual attendees connect to the experience platform to view the 3d virtual model of the event on virtual reality glasses, i.e. a head mounted display, from a virtual gallery, preferably from a user selected location and orientation or a common location and orientation for all virtual attendees. In one form the virtual attendees can see and interact with other virtual attendees in the virtual gallery.