Abstract: The present disclosure provides a video jitter detection method and an apparatus. The video jitter detection method includes: acquiring a video; inputting the video into a detection model to obtain an evaluation value of the video, where the evaluation value is used to indicate a degree of jitter of the video; where the detection model is a model obtained by training using video samples in a video sample set as inputs and evaluation values of the video samples in the video sample set as outputs. By inputting the video to be detected into the detection model, the evaluation value of the video can be acquired through the detection model, thereby whether the video is jittery is determined, which realizes the video jitter detection end-to-end, and improves the detection accuracy and robustness of video jitter.

Abstract: The present application discloses a video distribution timeliness determining method and an apparatus. A specific implementation scheme is: parsing a video to be distributed to obtain video-related information of the video to be distributed; determining a timeliness period of the video to be distributed according to the video-related information, where the timeliness period is used to indicate an effective duration corresponding to the video to be distributed; and determining timeliness end time of the video to be distributed according to initial time of the video to be distributed and the timeliness period. Compared with the prior art, it does not dependent on timeliness labeling experience of a reviewer. Therefore, it is not interfered by subjective factors of the reviewer, and a labeling quality is stable. In addition, there is no need to train the reviewer, which saves manpower and material resources and also improves a determining efficiency of video timeliness.

Abstract: The present disclosure provides a video jitter detection method and an apparatus. The video jitter detection method includes: acquiring a video; inputting the video into a detection model to obtain an evaluation value of the video, where the evaluation value is used to indicate a degree of jitter of the video; where the detection model is a model obtained by training using video samples in a video sample set as inputs and evaluation values of the video samples in the video sample set as outputs. By inputting the video to be detected into the detection model, the evaluation value of the video can be acquired through the detection model, thereby whether the video is jittery is determined, which realizes the video jitter detection end-to-end, and improves the detection accuracy and robustness of video jitter.

Abstract: The present disclosure provides a video recommendation method and a video recommendation apparatus, a computer device and a storage medium. The video recommendation method includes: acquiring a target short video; identifying, from candidate long videos, a target long video that the target short video is from based on a video fingerprint feature of the target short video and video fingerprint features of the candidate long videos; and recommending the target long video.