Image Editing Video Generation Through Sparse Key Frames
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Solution Overview
Problem
Existing technologies lack the ability to effectively record and share the image editing process on mobile terminals, limiting the creation of educational or sharing videos of image editing operations.
Innovation Solution
A video generation method and apparatus that acquires initial key frames during image editing, representing intermediate states with editing effects, and generates a target video to record the editing process, including filtering and sparsifying key frames to ensure high-quality and efficient video creation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If image editing process is recorded using traditional methods, then complete editing operations can be captured, but video quality and sharing efficiency are insufficient
Solution Approach 1:
The patent extracts key frames at specific moments during image editing operations and uses these extracted frames to generate the final video. This extraction approach captures the essential editing moments while reducing unnecessary data, thereby improving video quality and enabling efficient sharing without requiring complete recording of all editing operations.
Solution Approach 2:
The patent segments the continuous image editing process into discrete key frames at important moments. By dividing the editing process into these segmented key frames (initial state, intermediate states after each operation, final state), the system creates a concise video representation that maintains quality while improving sharing efficiency.
2Loss of information
If all intermediate images are captured during editing, then complete editing process is recorded, but data volume and processing complexity increase
Solution Approach 1:
The patent extracts only the necessary key frames from the continuous stream of intermediate images during editing. By identifying and extracting only these critical moments (initial state, state after each operation, final state) rather than capturing all intermediate images, the system maintains editing process completeness while significantly reducing data volume and processing complexity.
Solution Approach 2:
The patent applies partial action by capturing only the essential key frames rather than all intermediate images. This selective capture approach ensures that the most important information is preserved while avoiding the excessive processing complexity that would result from capturing and processing every intermediate frame.
3Measurement precision
If key frames are frequently extracted, then editing details are captured accurately, but video length and data volume increase
Solution Approach 1:
The patent extracts key frames at specific, strategically chosen moments during editing operations rather than frequently throughout the entire process. This selective extraction captures the essential editing details at critical points while avoiding the excessive data volume that would result from frequent extraction of every intermediate frame.
Data Source
AI summary
Disclosed in the embodiments of the present disclosure are a video generation method, an apparatus, an electronic device and a storage medium. The method comprises: during an image editing process of subjecting an initial image to a series of image editing operations to obtain a target image, acquiring initial key frames, the initial key frames being intermediate images between the initial image and the target image during the image editing process, the different initial key frames being intermediate images generated when different image editing operations of the series of image editing operations are triggered during the image editing process, and the intermediate images showing editing effects corresponding to the image editing operations; and generating a target video according to the initial key frames so as to record the image editing process of the target image. The present disclosure can be used for recording an image editing process.