Video Editing via Connected Camera and Cloud Server
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Solution Overview
Problem
Uploading high-definition video consumes significant bandwidth, time, and storage space, making it impractical for direct sharing without prior editing, which is typically done on personal computers.
Innovation Solution
A system that enables a high-resolution video camera to generate and transfer both high-resolution and low-resolution video clips to a video cloud server, allowing for editing on the server without manual editing on the camera, thereby reducing bandwidth, transfer time, and storage needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-definition video is uploaded directly to the server, then the video quality is preserved, but bandwidth consumption increases significantly
Solution Approach 1:
The camera performs preliminary editing actions (trimming, selecting clips) before uploading to the server. The camera's processor identifies and extracts only the necessary video segments based on shot detection and scene analysis, so that only essential high-definition content is transmitted, reducing bandwidth usage while preserving quality where needed.
Solution Approach 2:
The system changes the resolution parameter dynamically - uploading high-definition segments only when necessary (for important shots or scenes) and uploading low-definition versions for less critical content. This parameter adjustment optimizes the balance between video quality and bandwidth consumption based on the importance and characteristics of each video segment.
2Measurement precision
If high-definition video is uploaded directly to the server, then the video quality is preserved, but transfer time increases
Solution Approach 1:
The camera performs preliminary editing and segment selection before upload, preparing the video content in advance. By pre-identifying important segments and preparing them for upload, the system reduces the actual transfer time to the server while ensuring high-definition quality is maintained for the most valuable content.
Solution Approach 2:
The camera extracts and separates important video segments from the complete recording. Only the essential high-definition segments are uploaded to the server, while less critical portions remain in low-definition format locally or are excluded from upload, thereby reducing overall transfer time while preserving quality for key moments.
3Measurement precision
If high-definition video is uploaded directly to the server, then the video quality is preserved, but storage space consumption increases
Solution Approach 1:
The system dynamically adjusts the resolution parameter based on the importance and characteristics of each video segment. High-definition quality is maintained only for critical segments (such as key shots, important scenes, or segments requiring detailed analysis), while standard-definition quality suffices for less important content, optimizing storage space utilization.
Solution Approach 2:
Different quality levels are applied to different parts of the video content based on their importance. Critical segments are stored in high-definition format to preserve quality, while non-critical segments are stored in lower resolution, creating a differentiated storage strategy that optimizes both quality and space efficiency.
4Loss of energy
If video editing is performed on a personal computer before upload, then bandwidth and storage are reduced, but device complexity and manual effort increase
Solution Approach 1:
The camera system performs video editing functions automatically without requiring external personal computers or manual intervention. The camera's built-in processor detects shots, analyzes scenes, identifies important segments, and performs trimming operations autonomously based on pre-set criteria and algorithms, making the system self-sufficient in the editing process.
Solution Approach 2:
Manual editing operations on personal computers are replaced by automated electronic processing within the camera system. The camera's processor and algorithms substitute for human operators and complex software editing tools, performing shot detection, scene analysis, and segment selection through electronic means rather than mechanical or manual processes.
Data Source
AI summary
An apparatus having a server is disclosed. The server may be configured to (i) receive via a network a first clip of video generated by a camera, (ii) receive via the network first information to edit the first clip, (iii) receive via the network one or more segments of a second clip of video generated by the camera as identified by the first information and (iv) create a third clip of video by editing the segments according to the first information. The second clip is generally a higher resolution version of the first clip. The third clip may have the higher resolution.