AI Loop Video Generation with Semantic Consistency
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Solution Overview
Problem
Conventional methods for generating loop videos lack semantic consistency and visual variety, leading to unnatural repetition and discontinuity in character motion.
Innovation Solution
A method using artificial intelligence to generate loop videos by extracting moving objects, calculating errors for candidate periods, determining start frames and loop periods, and generating output frames based on spatiotemporal consistency and semantic constraints, ensuring completeness and variety through frame entropy estimation and bounce point extraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional methods are used to generate loop videos, then the generation process is simple, but the output lacks semantic consistency and visual variety
Solution Approach 1:
The patent segments the video generation process into distinct components: extracting moving objects, determining candidate periods, calculating errors, and generating output frames. This segmentation allows each component to be optimized independently, improving semantic consistency while managing complexity through modular processing.
Solution Approach 2:
The patent performs preliminary actions by extracting moving objects and determining candidate periods before generating the final loop video. This preliminary analysis enables the system to identify semantically consistent segments and evaluate multiple candidate periods, ensuring better visual variety and semantic coherence in the output.
2Manufacturing precision
If conventional methods are used to generate loop videos, then the processing time is short, but the visual variety and semantic consistency are poor
Solution Approach 1:
The patent applies partial action by focusing computational resources on key aspects of video processing: extracting moving objects and evaluating candidate periods. Rather than processing every frame uniformly, the system concentrates effort on identifying semantically significant segments, achieving visual variety without proportionally increasing processing time.
Solution Approach 2:
The patent changes parameters by evaluating multiple candidate periods with different durations and characteristics. By calculating errors for each candidate period and selecting the optimal one, the system achieves visual variety through parameter optimization rather than exhaustive processing, balancing quality and efficiency.
3Manufacturing precision
If conventional methods are used to generate loop videos, then the computational resources consumed are low, but the semantic consistency and continuity of character motion are poor
Solution Approach 1:
The patent extracts moving objects from the video frames as a separate entity before generating the loop video. This extraction allows the system to focus computational resources specifically on maintaining the continuity of extracted moving objects rather than processing all video content uniformly, improving character motion continuity while optimizing resource usage.
Solution Approach 2:
The patent introduces an intermediary process of determining candidate periods and calculating errors as a mediator between raw video input and final loop output. This intermediary layer enables semantic consistency to be achieved through structured analysis of moving object trajectories and temporal patterns, rather than through computationally expensive full-video processing.
Data Source
AI summary
A method for generating a loop video comprises: obtaining an input video including multiple frames with a first frame, with each of frames having multiple pixels; extracting a moving object corresponding to a moving pixel region in the first frame with the moving pixel region having at least two pixels; inputting multiple candidate periods to a target function respectively to calculate multiple errors of the moving pixel region; determining a start frame and a loop period of the moving pixel region for each error, with the loop period being associated with one of the candidate periods; generating multiple output frames according to start frames and loop periods; and generating an output frame sequence from the output frames according to a loop parameter, wherein the output frame sequence corresponds to the loop video.