A picture set description generation method, performed by a computer device, the method comprising: acquiring a chronologically ordered picture set to be processed; performing, by an encoder, picture feature extraction on each picture in the picture set to acquire a picture feature corresponding to the picture, wherein the picture feature extraction comprises: extracting, using a convolutional neural network, a feature vector from the picture, and inputting the extracted feature vector into a picture feature model comprising a recurrent neural network to acquire the picture feature; forming a picture feature sequence corresponding to the picture set by using picture features corresponding to pictures; comparing any two adjacent picture features in the picture feature sequence to determine whether the two adjacent picture features belong to a same scene; determining a plurality of consecutive picture features belonging to the same scene as a picture feature sub-sequence of a scene; performing scene feature extraction on the picture feature sub-sequence corresponding to each scene in the picture feature sequence to acquire a scene feature corresponding to the scene, and forming a scene feature sequence corresponding to the picture set by using scene features corresponding to scenes; generating description information of the picture set according to the picture feature sequence and the scene feature sequence that correspond to the picture set, wherein the generating description information of the picture set according to the picture feature sequence and the scene feature sequence that correspond to the picture set comprises: fusing the picture feature sequence and the scene feature sequence that correspond to the picture set to determine a picture set feature sequence corresponding to the picture set, wherein fusing the picture feature sequence comprises calculating a weighted sum of a union of the picture feature sequence and the scene feature sequence to determine the picture set feature sequence corresponding to the picture set; inputting each picture set feature in the picture set feature sequence into a decoder to acquire a description statement corresponding to the picture set feature; and combining description statements corresponding to picture set features to determine the description information of the picture set. acquiring a chronologically ordered picture set to be processed; performing, by an encoder, picture feature extraction on each picture in the picture set to acquire a picture feature corresponding to the picture, wherein the picture feature extraction comprises: extracting, using a convolutional neural network, a feature vector from the picture, and inputting the extracted feature vector into a picture feature model comprising a recurrent neural network to acquire the picture feature; extracting, using a convolutional neural network, a feature vector from the picture, and inputting the extracted feature vector into a picture feature model comprising a recurrent neural network to acquire the picture feature; forming a picture feature sequence corresponding to the picture set by using picture features corresponding to pictures; comparing any two adjacent picture features in the picture feature sequence to determine whether the two adjacent picture features belong to a same scene; determining a plurality of consecutive picture features belonging to the same scene as a picture feature sub-sequence of a scene; performing scene feature extraction on the picture feature sub-sequence corresponding to each scene in the picture feature sequence to acquire a scene feature corresponding to the scene, and forming a scene feature sequence corresponding to the picture set by using scene features corresponding to scenes; generating description information of the picture set according to the picture feature sequence and the scene feature sequence that correspond to the picture set, wherein the generating description information of the picture set according to the picture feature sequence and the scene feature sequence that correspond to the picture set comprises: fusing the picture feature sequence and the scene feature sequence that correspond to the picture set to determine a picture set feature sequence corresponding to the picture set, wherein fusing the picture feature sequence comprises calculating a weighted sum of a union of the picture feature sequence and the scene feature sequence to determine the picture set feature sequence corresponding to the picture set; inputting each picture set feature in the picture set feature sequence into a decoder to acquire a description statement corresponding to the picture set feature; and combining description statements corresponding to picture set features to determine the description information of the picture set. fusing the picture feature sequence and the scene feature sequence that correspond to the picture set to determine a picture set feature sequence corresponding to the picture set, wherein fusing the picture feature sequence comprises calculating a weighted sum of a union of the picture feature sequence and the scene feature sequence to determine the picture set feature sequence corresponding to the picture set; inputting each picture set feature in the picture set feature sequence into a decoder to acquire a description statement corresponding to the picture set feature; and combining description statements corresponding to picture set features to determine the description information of the picture set.