Evaluation method, device, equipment and storage medium of information matching degree
A technology of information matching and matching degree, which is applied in the field of information processing, can solve the problems of high labor cost, time-consuming and laborious, etc., and achieve the effect of reducing labor cost, reducing technical effect, and efficient determination
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Embodiment 1
[0029] figure 1 It is a schematic flowchart of a method for evaluating information matching degree provided by Embodiment 1 of the present invention. This embodiment can be applied to determine whether the advertising material inserted in a video matches the video content. This method can be evaluated by information matching degree device, which may be implemented in the form of software and / or hardware.
[0030] like figure 1 Described, the method of the present embodiment comprises:
[0031] S110. Based on the pre-trained visual feature model, determine the target material and the position information and confidence information of the target material inserted into the video.
[0032] Wherein, the target material may be a creative material inserted in a video, and may be displayed in the form of a video or in the form of a picture. For example, the creative material may be a video advertisement or a video image including an item, a scene, a brand logo, and the like. The po...
Embodiment 2
[0054] figure 2 It is a schematic flowchart of a method for evaluating information matching degree provided by Embodiment 2 of the present invention. Before extracting the image content corresponding to the target video frame, it also includes: obtaining the material size occupied by the target material and the video size used by the target video frame, and determining to play the The target material occupies the ratio of the target video frame; when the ratio is less than the preset threshold, the target material is removed from the target video frame, and the removed target video frame is processed; When the ratio is greater than the preset threshold, the preset restoration method is used to restore the at least one target video frame, and the restored target video frame is processed. For a specific processing manner, reference may be made to this embodiment.
[0055] like figure 2 As shown, the method includes:
[0056] S201. Based on the pre-trained visual feature mo...
Embodiment 3
[0099] As a preferred embodiment of the above embodiment, image 3 It is another schematic flow chart of an information matching evaluation method provided by Embodiment 3 of the present invention. like image 3 As shown, the method includes:
[0100] S1. Determine training sample data for training a visual feature model.
[0101] Get creatives, and build basic training libraries based on creatives. The base training library consists of every key video frame or raw image in the creative. If there is a difference between two adjacent video frames, one of the two adjacent video frames may be used as a key video frame. Of course, key video frames can also be determined artificially.
[0102] Based on the key video frame and the original image, after the basic training library is determined, the data stored in the basic training library can be expanded to obtain training sample data. The expansion methods of expanding the basic training library can include scale expansion an...
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