Feature fusion method and device and video jitter elimination method and device
A technology of feature fusion and video jitter, applied in the field of video processing, can solve the problems of high manpower and other costs, and achieve the effect of reducing labor costs and alleviating jitter problems
Pending Publication Date: 2022-05-31
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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[0004] The present disclosure provides a feature fusion method and device, and a video jitter elimination method and device, to at least solve the problem in the related art that the feature fusion method requires a large amount of video data for training, resulting in high manpower and other costs.
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[0035] In order to enable ordinary people in the art to better understand the technical solution of the present disclosure, the following will be combined with the accompanying drawings, the technical solution in the embodiments of the present disclosure will be clearly and completely described.
[0036] It should be noted that the present disclosure of the specification and claims and the above-described drawings in the terms "first", "second", etc. are used to distinguish similar objects, and do not have to be used to describe a particular order or order. It should be understood that the data used in this manner may be interchangeable in appropriate circumstances, so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. The embodiments described in the following embodiments do not represent all embodiments consistent with the present disclosure. Rather, they are merely examples of devices ...
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The invention relates to a feature fusion method and device and a video jitter elimination method and device. The method comprises the steps of obtaining at least one piece of first similarity information based on features of a current image frame in a to-be-processed video and features of at least one reference image frame, the at least one reference image frame being a predetermined number of image frames before the current image frame in the to-be-processed video, and the at least one reference image frame being a predetermined number of image frames before the current image frame in the to-be-processed video; the at least one piece of first similarity information is similarity information between the current image frame and at least one reference image frame; on the basis of the features of the at least one reference image frame and the at least one piece of first similarity information, the features of the at least one reference image frame after being aligned with the current image frame are obtained; and based on the aligned features and the features of the current image frame, obtaining the fused features of the current image frame.
Description
Technical field [0001] The present disclosure relates to the field of video processing, in particular to a feature fusion method and apparatus, a video jitter elimination method and apparatus. Background [0002] With the development of deep learning, users hope to understand the content in the video through deep learning, such as how many people are in this video, the trajectory of people moving and other information. But in some complex scenes, the two similar image frames in the video will get very different results, such as two image frames look similar to the naked eye, the previous image frame can detect the human limbs, the latter image frame can not be detected suddenly, this phenomenon is called "jitter" phenomenon, jitter phenomenon will seriously affect the user perception and other quantitative indicators. [0003] In order to solve the above problems, the academic community on the basis of the image algorithm proposed the "timing feature fusion method" for processing...
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IPC IPC(8): G06V20/40G06V10/80G06V10/74G06K9/62
CPCG06F18/22G06F18/253
Inventor 黄钊金戴宇荣
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD