Video Content Marking for Pirate Broadcasting Detection
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Solution Overview
Problem
Existing systems are inadequate in preventing pirate broadcasting, especially for live and instantly presented video content, as they cannot instantly mark video content with subscriber credentials, leading to potential time and data losses.
Innovation Solution
A content marking system that uses a server to divide video content into image frames, randomly select and mark frames with unique subscriber credentials, and combine them to form a marked video part for live transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video content is marked with subscriber credentials in real-time, then pirate broadcasting detection capability is improved, but system complexity increases
Solution Approach 1:
The video content is divided into multiple image frames, and unique marks containing subscriber credentials are embedded in specific frames. This segmentation approach enables reliable pirate broadcasting detection by distributing identification markers throughout the video stream without requiring complex real-time processing of the entire video content.
Solution Approach 2:
The server pre-processes video content by dividing it into frames and embedding marks before transmission to clients. This preliminary action ensures that detection capability is already in place when video is received, eliminating the need for complex real-time analysis and reducing system complexity.
2Measurement precision
If video content is divided into image frames and marked, then pirate broadcasting detection precision is improved, but processing time increases
Solution Approach 1:
By dividing video into discrete image frames and embedding marks in specific frames rather than processing the entire video continuously, the system achieves high detection precision while minimizing processing time. The segmentation allows parallel processing and reduces the computational burden on any single frame.
Solution Approach 2:
The system embeds marks in selected frames rather than all frames, providing sufficient detection precision with reduced processing requirements. This partial action approach maintains effectiveness while reducing overall processing time and resource consumption.
3Reliability
If marks are embedded in video frames, then copyright protection is improved, but video quality may deteriorate
Solution Approach 1:
Marks are embedded in specific local regions of selected video frames rather than uniformly across the entire video. This local quality approach provides effective copyright protection while minimizing impact on overall video quality by concentrating modifications in discrete, localized areas.
Data Source
AI summary
A pirate broadcasting detection system detects the credentials of a subscriber if it is detected that a video part is used by at least one pirate user other than the subscriber while a video part created by a source is received from the source and transmitted to a client of a subscriber.