Image identification method and device

TL;DR: Zhang et al. as mentioned in this paper presented an image identification method and device, which consists of obtaining a target image which an image to be identified, performing feature extraction of the target image through a presetting convolution neural network model, and obtaining the attribute vectors of target image, wherein the attribute vector include the probability of a plurality of presetting word attributes in the target images.

Abstract: The present invention discloses an image identification method and device, belonging to the image processing field. The method comprises: obtaining a target image which an image to be identified; performing feature extraction of the target image through a presetting convolution neural network model, and obtaining the attribute vectors of the target image, wherein the attribute vectors include the probability of a plurality of presetting word attributes in the target image; and performing semantic analysis processing of the attribute vectors trough the presetting convolution neural network model, and obtaining the descriptive statement of the target image, wherein the descriptive statement is configured to describe the content of the target image. Namely, the image identification method and device can combine the image identification and the natural language processing to realize that the target image is converted to the descriptive statement in a character mode so as to vividly describe the concrete content of the target image in more detail and improve the image identification effect.