Abstract: The present specification discloses video matching. In a computer-implemented method, a plurality of feature vectors of a target video is obtained. A candidate video similar to the target video is retrieved from a video database based on the plurality of feature vectors of the target video. A time domain similarity matrix feature map is constructed between the target video and the candidate video based on the target video and the candidate video. Using the time domain similarity matrix feature map as an input into a deep learning detection model, a video segment matching the target video in the candidate video and a corresponding similarity is output.

Abstract: The present disclosure provides a herbicide composition and a preparation method and an application method thereof, and relates to the technical field of herbicides. The herbicide composition includes pinoxaden and a cyclic lactone compound. The cyclic lactone compound is five-membered cyclic lactone and/or six-membered cyclic lactone. The herbicide composition solves the technical problems of poor chemical stability and precipitation due to crystallization at low temperature of existing pinoxaden emulsifiable concentrate formulations. In the herbicide composition, the cyclic lactone compound is used in combination with the pinoxaden, such that not only the solubility of the pinoxaden is improved, but also a chemical stabilization effect of the pinoxaden is effectively improved, and the problems of precipitation due to crystallization at low temperature and chemical stability of the pinoxaden emulsifiable concentrate formulations are solved.

Abstract: This specification discloses example computer-implemented methods, computer-readable media and apparatus for assisted image capturing for a pet. In an example, a mapping relationship between several image capturing distance intervals and pet feature types is predetermined. After a pet image capturing instruction is received, a client device invokes an image capturing module to capture a pet image It is determined whether a pet feature having a type that corresponds to an image capturing distance interval to which the pet image belongs is able to be extracted from the pet image. If the pet feature having the type is extracted, the client device outputs an image capturing distance interval adjustment guidance to guide a user to adjust the image capturing distance interval and continues to capture another pet image.

Abstract: The present specification discloses video matching. In a computer-implemented method, a plurality of feature vectors of a target video is obtained. A candidate video similar to the target video is retrieved from a video database based on the plurality of feature vectors of the target video. A time domain similarity matrix feature map is constructed between the target video and the candidate video based on the target video and the candidate video. Using the time domain similarity matrix feature map as an input into a deep learning detection model, a video segment matching the target video in the candidate video and a corresponding similarity is output.

Abstract: A method of triggering an intra-frequency measurement of a terminal, a device of triggering an intra-frequency measurement of a terminal, a terminal and a base station are provided. The method includes: acquiring parameter information sent by a base station and configured to determine whether to trigger an intra-frequency measurement; determining whether to perform the intra-frequency measurement based on the parameter information.

Abstract: A method of triggering an intra-frequency measurement of a terminal, a device of triggering an intra-frequency measurement of a terminal, a terminal and a base station are provided. The method includes: acquiring parameter information sent by a base station and configured to determine whether to trigger an intra-frequency measurement; determining whether to perform the intra-frequency measurement based on the parameter information.