Video Sequence Assembly Using Metadata References
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current video capture and storage technologies face significant challenges in reducing memory requirements while maintaining video quality, particularly in capturing and storing scenes of key locations and personal moments, leading to high storage demands and pricing pressures in cloud storage services.
Innovation Solution
A method that utilizes metadata to match and assemble video sequences by comparing the metadata of captured scenes with stored video sequences, allowing for the incorporation of stored video segments into an output sequence, thereby reducing the need for local storage of redundant data and optimizing storage footprint.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video sequences are captured and stored in full quality, then video quality is maintained, but storage requirements increase significantly
Solution Approach 1:
The video sequence is divided into multiple segments or frames. The system identifies and selects only certain key segments for full storage while representing other segments through references or metadata, thereby reducing overall storage requirements while maintaining perceived video quality.
Solution Approach 2:
The system pre-processes video sequences to identify redundant or representative segments before final storage. By analyzing video content in advance and determining which segments can be referenced rather than fully stored, the system reduces storage requirements while ensuring quality is maintained when needed.
2Quantity of substance
If cloud storage capacity is increased to accommodate more video data, then more video can be stored, but pricing pressures increase
Solution Approach 1:
Instead of storing complete video sequences, the system creates and stores simplified representations or references (copies) of the video data. These references point to the actual video segments stored elsewhere, allowing users to access video content without paying for full storage capacity of every video file.
Solution Approach 2:
The system changes the storage parameters from storing complete high-resolution video sequences to storing compressed metadata, references, or lower-resolution proxies. This parameter change allows the same storage capacity to serve more video content, reducing per-video storage costs while maintaining access to full-quality video when needed.
Data Source
AI summary
A method includes receiving, by one or more processors, metadata corresponding to a scene, the metadata comprising a current location and orientation of a scene capture device used to capture the metadata, receiving, by the one or more processors, a required recording quality indication from a user, determining, by the one or more processors, according to the metadata, a stored video sequence corresponding to the scene that meets the required recording quality indication and corresponds to the current location and orientation, and determining, by the one or more processors, according to the metadata, a stored video sequence corresponding to the scene, and assembling, by the one or more processors, an output video sequence for the scene that incorporates at least a portion of the stored video sequence. A corresponding computer program product and computer system are also disclosed herein.