Dynamic Content Identification Mechanism Selection
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Solution Overview
Problem
Existing fingerprint-based content identification mechanisms in secure content identification systems consume significant computing resources, leading to reduced identification efficiency due to high loads when dealing with large volumes of audio and video content.
Innovation Solution
The system dynamically selects among different identification mechanisms (content ID-based, tampering history-based, metadata-based, watermark-based, and fingerprint-based) based on load conditions and security requirements, allowing for flexible adaptation to reduce system load and improve efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fingerprint-based identification mechanism is used, then identification reliability is improved, but system load increases and identification efficiency decreases
Solution Approach 1:
The patent implements dynamic selection of identification mechanisms based on real-time system load conditions. The SCIDM client monitors system load and switches between fingerprint-based identification (high reliability) and simpler identification mechanisms (high efficiency) accordingly, resolving the contradiction between reliability and efficiency through adaptive dynamics
Solution Approach 2:
The patent changes the parameter of identification mechanism complexity based on system load conditions. By adjusting which identification mechanism is used (simple vs. complex) according to load parameters, the system optimizes the balance between identification reliability and efficiency under different operating conditions
2Measurement precision
If fingerprint extraction and matching operations are performed, then content identification accuracy is improved, but computing resource consumption increases
Solution Approach 1:
The patent applies partial action by using simpler identification mechanisms (content ID-based, metadata-based) when system load is low to handle routine identification tasks, reserving fingerprint-based identification for cases requiring high accuracy or when system load is high, thus optimizing computing resource consumption while maintaining adequate identification accuracy
Solution Approach 2:
The patent uses simpler, less computationally intensive identification mechanisms as disposable solutions for low-load conditions, employing them temporarily when resources are constrained, and switching to more resource-intensive fingerprint-based identification only when necessary, thereby reducing overall computing resource consumption
Data Source
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AI summary
A content identification method and system, and a secure content identification mechanism (SCIDM) client and server are provided. The content identification method includes: selecting an identification mechanism for a content to be identified; extracting identification information of the content to be identified corresponding to the selected identification mechanism; and sending a first content identification request, in which the first content identification request contains the selected identification mechanism and the identification information, and is adapted to request an SCIDM server to identify an attribute of the content to be identified by using the identification mechanism and according to the identification information. Thus, a load of a content identification system is reduced, and an efficiency of content identification is improved.