A device, method and system for assigning alerts to sensor analytics engines is provided. A device one or more of generates and receives an alert to perform a search for a target object. The device determines a geographic area in which to perform the search for the target object. The device determines sensors available in the geographic area for use in the search for the target object. The device, in response to the sensors meeting a threshold condition, assigns the alert to a sensor analytics engine to search for the target object using the sensors. The device, in response to the sensors not meeting the threshold condition, provides the alert to one or more communication devices to initiate a human-based search for the target object.

Methods, non-transitory computer readable media, and computing devices for three-dimensional searching that precisely targets retrieval within diverse types of content includes retrieving web content in response to a received request from a client device. A destination page, an address within the page, and an offset distance from a starting point at the address to a correlated responsive portion of the web content to the received request is identified. The responsive web content with the identified destination page, the address, and the offset distance is provided to the requesting client device.

Methods, non-transitory computer readable media, and computing devices for three-dimensional searching that precisely targets retrieval within diverse types of content includes retrieving web content in response to a received request from a client device. A destination page, an address within the page, and an offset distance from a starting point at the address to a correlated responsive portion of the web content to the received request is identified. The responsive web content with the identified destination page, the address, and the offset distance is provided to the requesting client device.

A video search system includes: an object tag acquisition unit that obtains an object tag associated with an object that appears in a video; a search query acquisition unit that obtains a search query; a similarity calculation unit that calculates a similarity degree between the object tag and the search query; and a video search unit that searches for a video corresponding to the search query on the basis of the similarity degree. According to such a video search system, it is possible to properly recognize the video, for example, by using the search query using a natural language.

A video search system includes: an object tag acquisition unit that obtains an object tag associated with an object that appears in a video; a search query acquisition unit that obtains a search query; a similarity calculation unit that calculates a similarity degree between the object tag and the search query; and a video search unit that searches for a video corresponding to the search query on the basis of the similarity degree. According to such a video search system, it is possible to properly recognize the video, for example, by using the search query using a natural language.

This document describes, among other things, systems, methods, devices, and other techniques for using information about how long various videos were presented at client devices to determine subsequent video recommendations and search results. In some implementations, a computing can include a modeling apparatus, a front-end server, a request manager, one or more video file storage devices, a video selector, or a combination of some or all of these. The video selector can select video content for a particular digitized video among a plurality of digitized videos to serve to a computing device responsive to a request. The selection can be based at least in part on how long the particular digitized video has been presented at client devices associated with users having characteristics that match one or more characteristics of the user that submitted the request for video content, as indicated by the modeling apparatus.

This document describes, among other things, systems, methods, devices, and other techniques for using information about how long various videos were presented at client devices to determine subsequent video recommendations and search results. In some implementations, a computing can include a modeling apparatus, a front-end server, a request manager, one or more video file storage devices, a video selector, or a combination of some or all of these. The video selector can select video content for a particular digitized video among a plurality of digitized videos to serve to a computing device responsive to a request. The selection can be based at least in part on how long the particular digitized video has been presented at client devices associated with users having characteristics that match one or more characteristics of the user that submitted the request for video content, as indicated by the modeling apparatus.

Systems and methods are provided for distributed video storage and search over edge computing devices having a short-term memory and a long-term memory. The method may comprise caching a first portion of data on a first device. The method may further comprise determining, at a second device, whether the first device has the first portion of data. The determining may be based on whether the first piece of data satisfies a specified criterion. The method may further comprise sending the data, or a portion of the data, and/or a representation of the data from the first device to a third device.

Systems and methods are provided for distributed video storage and search over edge computing devices having a short-term memory and a long-term memory. The method may comprise caching a first portion of data on a first device. The method may further comprise determining, at a second device, whether the first device has the first portion of data. The determining may be based on whether the first piece of data satisfies a specified criterion. The method may further comprise sending the data, or a portion of the data, and/or a representation of the data from the first device to a third device.

Systems and methods for automated accident analysis such as automatic multi-device accident detection and verification, automated multi-device information capture, and automated geospatial and geo-relational digital scene recreation.