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Lightweight video interpolation method based on a feature level optical flow

An interpolation method, a lightweight technology, applied in the direction of TV, color TV, color TV components, etc., can solve problems such as poor practicability, and achieve the effect of improving accuracy and speed

Active Publication Date: 2019-05-14
NORTHWESTERN POLYTECHNICAL UNIV
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AI Technical Summary

Problems solved by technology

[0006] In order to overcome the disadvantage of poor practicability of existing lightweight video interpolation methods, the present invention provides a lightweight video interpolation method based on feature-level optical flow

Method used

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  • Lightweight video interpolation method based on a feature level optical flow

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Embodiment Construction

[0037] refer to Figure 1-2 . The specific steps of the light-weight video interpolation method based on feature-level optical flow of the present invention are as follows:

[0038] Step 1. Any two frames of images I in a given video 1 ,I 2 ∈R 3×H×W , for scale transformation of 1 / 2 and 1 / 4, use Represents the transformed image of the kth image at the sth scale, and s=0 represents the original image.

[0039] Step 2. For two frames of images at scale s Perform feature-level optical flow calculations. Firstly, two steps of convolution operation are performed separately,

[0040]

[0041]

[0042] Among them, C2D 1 (·),C2D 2 ( ) represents a two-dimensional convolution operation. Get three levels of feature maps (F s 11 , F s 12 ) and (F s 21 , F s 22 ). Merge the two feature maps of each level in two-way timing,

[0043]

[0044]

[0045]Among them, l=0,1,2, CAT(·,·) indicates the merging operation of two feature maps in sequence, H s ,W s ...

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Abstract

The invention discloses a lightweight video interpolation method based on a feature level optical flow, which is used for solving the technical problem that the existing lightweight video interpolation method is poor in practicability. According to the technical scheme, firstly, multi-scale transformation is carried out on two continuous frames of images in a given video, and an optical flow estimation module at the feature level is adopted to calculate a forward optical flow and a reverse optical flow between the two frames under the current scale; warp transformation on the two images is performed in time sequence according to the forward optical flow and the reverse optical flow respectively to obtain two interpolation images; the interpolated images are combined to obtain a four-dimensional tensor, and the tensor is processed by utilizing three-dimensional convolution to obtain an interpolated image under the scale; And weighted average on the images are carried out with differentscales to obtain a final interpolation image. According to the invention, the video interpolation is carried out by using the optical flow of the feature level and the multi-scale fusion technology, and the precision and speed of the video interpolation are improved. A 1.03 MB network model is used for obtaining the average peak signal-to-noise ratio of 32.439 and the structural similarity of 0.886.

Description

technical field [0001] The invention relates to a lightweight video interpolation method, in particular to a lightweight video interpolation method based on feature level optical flow. Background technique [0002] As a classic video processing and computer vision task, video interpolation generates smooth transitions between two consecutive frames. Given two consecutive images, video interpolation synthesizes realistic intermediate frames to achieve the purpose of compensating motion information and enriching changing details. The generated pictures and the given frames form a continuous and consistent video segment in time. [0003] Video interpolation has been applied in several fields, such as video frame rate conversion, virtual view synthesis, video temporal super-resolution, etc. Different video playback standards require different video frame rates. Therefore, low frame rate video must be converted when played at a higher standard. Given images of adjacent viewpo...

Claims

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Application Information

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IPC IPC(8): H04N7/01H04N5/14G06T7/269
Inventor 袁媛王琦李昊鹏
Owner NORTHWESTERN POLYTECHNICAL UNIV
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