6. The video classification method according to claim 4 , wherein the sample video library comprises at least two videos, and the sample video library comprises videos in at least two categories; and wherein the generating the descriptive vector corresponding to the video in the sample video library comprises: obtaining a screening result set according to screening results of the motion phrases corresponding to the videos in different categories in the sample video library; and generating, according to the screening result set, the descriptive vector corresponding to the videos in the sample video library.
6. The video classification method according to claim 4 , wherein the sample video library comprises at least two videos, and the sample video library comprises videos in at least two categories; and wherein the generating the descriptive vector corresponding to the video in the sample video library comprises: obtaining a screening result set according to screening results of the motion phrases corresponding to the videos in different categories in the sample video library; and generating, according to the screening result set, the descriptive vector corresponding to the videos in the sample video library. 7. The method according to claim 6 , wherein the determining the to-be-detected video whose category is the same as that of the video in the sample video library comprises: generating a response vector corresponding to the to-be-detected video; acquiring the descriptive vector corresponding to a video in each different category in the sample video library; obtaining a first classification rule according to the descriptive vector, wherein the first classification rule is used to determine the category to which the to-be-detected video belongs; and determining, according to the first classification rule and the response vector, that the category of the to-be-detected video is the same as a category of the categories of the videos comprised in the sample video library, and classifying the to-be-detected video.