Magic Moment Video Capture With Auto Photo and Short Clip Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing intelligent terminal cameras fail to capture high-quality photos and videos simultaneously during magic moments, resulting in poor user experience.
Innovation Solution
A video processing method that automatically identifies magic moments during recording, allowing for high-quality photo capture and generation of a wonderful short video, with optional user interaction for customization and storage options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video data is transmitted without compression or with basic compression, then transmission speed and clarity are maintained, but network consumption increases and data loss occurs
Solution Approach 1:
The video data transmission process is segmented into multiple layers: original video data is divided into video segments, which are then encoded into coded video segments. These are further processed through segmentation and reconstruction modules that create multiple data streams with different levels of detail. This segmentation allows the system to transmit essential video information efficiently while reducing overall network consumption.
Solution Approach 2:
The system dynamically changes transmission parameters based on network conditions and video importance. Different video segments are assigned different priority levels and compression ratios. The segmentation module adjusts parameters such as data block size, transmission timing, and reconstruction algorithms to optimize the balance between transmission reliability and network resource consumption.
2Loss of energy
If video data is compressed to reduce network consumption, then network efficiency improves, but video quality and completeness deteriorate
Solution Approach 1:
The system performs preliminary segmentation and prioritization of video data before transmission. Important video segments are identified and prepared in advance with higher priority markers and less aggressive compression. This preliminary action ensures that critical video information maintains quality while less important data can be compressed more aggressively, overall reducing network consumption without sacrificing essential video quality.
Solution Approach 2:
The patent introduces intermediary modules including a segmentation module, reconstruction module, and fill data generation module that act as mediators between the original video data and the transmitted data stream. These intermediaries process the video data through multiple stages of compression and reconstruction, using intelligent algorithms to preserve important visual information while discarding redundant data, thus maintaining video quality while reducing network consumption.
3Manufacturing precision
If video segments are transmitted in original format, then video quality is preserved, but transmission time and network resources increase
Solution Approach 1:
The system dynamically adjusts video segment compression and transmission priorities based on real-time network conditions and video content analysis. The segmentation module continuously evaluates which video segments require higher quality transmission and which can be compressed more aggressively. This dynamic approach optimizes the balance between video quality preservation and transmission time reduction, allowing the system to adapt to changing conditions without sacrificing essential video quality.
4Reliability
If all video segments are transmitted with equal priority, then completeness is maintained, but critical information may be lost in poor network conditions
Solution Approach 1:
The patent applies local quality differentiation by assigning different priority levels and quality requirements to different video segments based on their importance. Critical video segments (such as key frames or important scenes) are marked with higher priority and transmitted with greater reliability guarantees, while less important segments use standard compression and transmission protocols. This local quality approach ensures that critical information is preserved even in poor network conditions without requiring complex control mechanisms for the entire video stream.
Data Source
Figure 1
Figure 2(1)
Figure 2(2)
AI summary
A video processing method and an electronic device are provided. The method includes: recording a first video in response to a first operation of a user; displaying a first interface, where the first interface is a play interface of the first video, the first interface includes a first control and a first area, the first area displays a thumbnail of a first photo and a thumbnail of a second photo, the first photo is automatically taken at a first moment, the second photo is automatically taken at a second moment, and a recording process of the first video includes the first moment and the second moment; and displaying a second interface in response to a second operation with respect to the first control, where the second interface is a play interface of a second video, duration of the second video is less than duration of the first video, and the second video includes at least the first photo. When the recording of the first video is completed, the user can view a photo of a magic moment of the first video and a selected short video in a gallery. An image of a magic moment obtained by using the video processing method in embodiments of this application has higher quality and provides better user experience.