Patent ID: 11914639
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 3:
4. The method according to claim 3, wherein the extracting a first feature from the image frames of the corresponding video segment of the target video of the to-be-matched multimedia resource comprises:
training a classification network model by using a plurality of multimedia resource samples and similarity data, to obtain a target classification network model, the similarity data being data used for indicating similarities among the plurality of multimedia resource samples, a loss function of the classification network model being set to a contrastive loss function, input parameters of the target classification network model being image frames of multimedia resources, and output parameters of the target classification network model being features corresponding to the image frames of the multimedia resources; and
inputting the image frames of the corresponding video segment of the target video of the to-be-matched multimedia resource into the target classification network model, to obtain the first feature outputted by the target classification network model.