The present disclosure relates to a method for placing delivery information, an electronic device and a storage medium. The method includes: dividing a candidate video for placing the delivery information into a plurality of video frames; determining a plurality of key frames from the plurality of video frames based on a correlation degree of every two adjacent video frames; determining a target frame from the plurality of key frames based on existing conversion information corresponding to each of the plurality of key frames and sampling conversion information corresponding to the each of the plurality of key frames; and placing a delivery component corresponding to the target frame into the target delivery frame.

The present disclosure relates to a method for placing delivery information, an electronic device and a storage medium. The method includes: dividing a candidate video for placing the delivery information into a plurality of video frames; determining a plurality of key frames from the plurality of video frames based on a correlation degree of every two adjacent video frames; determining a target frame from the plurality of key frames based on existing conversion information corresponding to each of the plurality of key frames and sampling conversion information corresponding to the each of the plurality of key frames; and placing a delivery component corresponding to the target frame into the target delivery frame.

Systems and methods are disclosed herein for monitoring a location of a client device associated with a transportation service and generating augmented reality images for display on the client device. The systems and methods use sensor data from the client device and a device localization process to monitor the location of the client device by comparing renderings of images captured by the client device to renderings of the vicinity of the pickup location. The systems and methods determine navigation instructions from the user's current location to the pickup location and select one or more augmented reality elements associated with the navigation instructions and/or landmarks along the route to the pickup location. The systems and methods instruct the client device to overlay the selected augmented reality elements on a video feed of the client device.

A system and a method for automatic video redaction are provided herein. The method may include: receiving, an input video comprising a sequence of frames captured by a camera, wherein the input video includes live video obtained directly from the camera, wherein recordation of the video directly from the camera is disabled; performing visual analysis of the input video, to detect portions of the frames of the input video in which one of a plurality of predefined objects or a descriptor thereof is detected; generating a redacted input video by replacing the portions of the frames with new portions of another visual content; and recording the redacted input video on a data storage device, wherein the generating of thethe redacted input video, is carried out by a computer processor, after the input video is captured by the camera and before the recording of the redacted input video on the data storage device.

Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can, in response to receiving a request, identify a core component from source material based on topic analysis. Embodiments of the present invention can then generate three-dimensional representations of physical core components associated with the request. Finally, embodiments of the present invention then render the generated three-dimensional representations of the physical core components over the physical core components.

A video content selecting apparatus for augmented reality is provided. The apparatus includes a communication interface; and an operation processor configured to perform: (a) collect a plurality of video contents through the Internet; (b) extract feature information and metadata for each of the plurality of video contents, and generate a hash value corresponding to the feature information by using a predetermined hashing function; (c) manage a database to include at least the hash value and the metadata of each of the plurality of video contents; (d) receive object information corresponding to an object in a real-world environment from a user terminal through the communication interface; (e) search the database based on the object information and select a video content corresponding to the object information from among the plurality of video contents; and (f) transmit the metadata of the selected video content to the user terminal through the communication interface.

A system and method including receiving sets of sensor data associated with sensors configured to monitor one or more systems. Sensor fingerprints are generated for each set of sensor data based on the sensor data. At least one proximity value is computed for each sensor by comparing the fingerprint of that sensor with another fingerprint. Clusters of similar sensors are identified based at least upon the proximity values of the sensors.

A system and method including receiving sets of sensor data associated with sensors configured to monitor one or more systems. Sensor fingerprints are generated for each set of sensor data based on the sensor data. At least one proximity value is computed for each sensor by comparing the fingerprint of that sensor with another fingerprint. Clusters of similar sensors are identified based at least upon the proximity values of the sensors.

Systems and methods for full motion video search are provided. In one aspect, a method includes receiving one or more search terms. The search terms include one or more of a characterization of the amount of man-made features in a video image and a characterization of the amount of natural features in the video image. The method further includes searching a full motion video database based on the one or more search terms.

Systems and methods for full motion video search are provided. In one aspect, a method includes receiving one or more search terms. The search terms include one or more of a characterization of the amount of man-made features in a video image and a characterization of the amount of natural features in the video image. The method further includes searching a full motion video database based on the one or more search terms.