Abstract: A method for automatic metadata tag identification for videos is described. Content features are extracted from a video into respective data structures. The extracted content features are from at least two different feature modalities. The respective data structures are encoded into a common data structure using an encoder of a recurrent neural network (RNN) model. The common data structure is decoded using a decoder of the RNN model to identify content platform metadata tags to be associated with the video on a social content platform. Decoding is based on group tag data for users of the social content platform that identifies groups of the users and corresponding group metadata tags of interest for the groups of users.

Abstract: Disclosed are a system and a method for capturing a space target. The system includes a plurality of capturing devices, a delivery device, a launching device, and a deceleration and recovery device, each of the plurality of capturing devices is configured to be launched into a target orbit to capture a defunct space target, the delivery device is configured to deliver, along a preset delivery trajectory, each of the plurality of capturing devices to a first preset location in the launching device, the launching device is configured to launch each of the plurality of capturing devices located at the first preset location into the target orbit to capture the defunct space target, and the deceleration and recovery device is configured to decelerate each of the plurality of capturing devices after it is launched and flies a preset distance.