The disclosure is generally directed to optical devices and apparatuses for capturing, structuring, and using interlinked multi-directional still pictures and/or multi-directional motion pictures as well as the related systems and methods, and their applications on computing and/or other devices.

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.

Blockchain validation is provided by receiving a first validation request of a blockchain. A hashing algorithm is applied to a first block of the blockchain to generate a first hash value. In response to the first validation request of the blockchain, a first image from a plurality of images is provided on a display device. The first image is selected to be provided for display on the display device based on the first hash value. The first image may be compared to a second image that was provided for display on the display device prior to the first validation request and that image was provided based on a second hash value to determine whether the first image and the second image are substantially similar, which indicates that no changes have been made to the data in the blockchain.

Blockchain validation is provided by receiving a first validation request of a blockchain. A hashing algorithm is applied to a first block of the blockchain to generate a first hash value. In response to the first validation request of the blockchain, a first image from a plurality of images is provided on a display device. The first image is selected to be provided for display on the display device based on the first hash value. The first image may be compared to a second image that was provided for display on the display device prior to the first validation request and that image was provided based on a second hash value to determine whether the first image and the second image are substantially similar, which indicates that no changes have been made to the data in the blockchain.

A web-based item listing platform provides item listings that users can create or search. Item listings can be generated using structured information extracted while capturing an item listing video of the item. During creation of the item listing video, input prompts are provided to the user that cause a mobile device to provide an input request, such as taking an image of a specific feature of the item or providing some other item description information. During the item listing video, image recognition models may also be employed to determine other item description information, such as the color, the brand, and the like. The item listing can be generated from the item listing video by populating a set of structured data elements associated with an item description type. Each structured data element is populated with the item description information corresponding to the associated item description type.

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.

Subject matter disclosed herein relates to systems, devices, and/or processes for processing signals relating to surfaces that may be viewable by subjects though one or more devices. In an embodiment, a surface may include one or more devices embedded therein to provide one or more signals to define a portion of the surface.

A method of obtaining a 3D model of a subject includes capturing a plurality of images of the subject by an image capture device, associating respective ones of the plurality of images with a timestamp and unique identification number, transmitting image capture data comprising the timestamp and the unique identification number to an external server, receiving a transmission comprising the unique identification number, and, responsive to receiving the transmission, transmitting a first image of the plurality of images that is associated with the unique identification number.

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.