Video Sequence Layout Method Using Random Mixed Sequencing
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Solution Overview
Problem
Existing video generation methods for virtual characters in scenarios like live broadcasts and online training are limited by fixed video lengths and solitary content, which restricts interactive experience and diversification of video content.
Innovation Solution
A video sequence layout method that performs random mixed sequencing processing on video frames using identification frames such as reverse, jump, or transition frames, allowing for adjustable video lengths and increased content randomness, enabling the creation of more diversified video sequences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed video length and solitary content are used, then video generation is simple, but user interaction experience and content diversification are limited
Solution Approach 1:
The video sequence is segmented into multiple independent video frames that can be randomly selected and rearranged. The system divides the original video into discrete frame units, allowing flexible combination of different frames to create diverse video sequences of varying lengths while maintaining computational efficiency.
Solution Approach 2:
The video generation system transitions from static fixed-length sequences to dynamic variable-length sequences. By randomly selecting and arranging video frames based on identification frame markers, the system can adaptively generate videos of different lengths and content compositions, enhancing versatility without requiring complex generation algorithms.
2Adaptability or versatility
If random mixed sequencing processing is performed on video frames, then video content diversification and flexibility are improved, but processing time and computational complexity increase
Solution Approach 1:
The system pre-processes the video sequence by identifying and marking specific frames as identification frames (reverse frames, jump frames, or transition frames) before random sequencing is applied. This preliminary segmentation and marking enables fast random selection and rearrangement during video generation, reducing real-time processing complexity while maintaining content diversity.
Data Source
AI summary
A video sequence layout method, electronic device and storage medium are provided, and relate to fields of deep learning, virtual reality, cloud computing, video layout processing and the like. The method includes: acquiring a first video sequence, the first video sequence including a main sequence for describing a first posture of a human body and a subordinate sequence for describing a plurality of second postures of the human body; extracting the main sequence and the subordinate sequence from the first video sequence; and in a case that it is detected that a sequencing identification frame exists in the first video sequence, performing random mixed sequencing processing on video frames in the main sequence and the subordinate sequence based on the sequencing identification frame and taking a sequence combination obtained by the random mixed sequencing processing as a second video sequence.