Remote Multimedia Analysis Server Architecture
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Solution Overview
Problem
Existing video analysis systems, both dedicated and ad-hoc, face challenges in scalability and efficiency, particularly for small organizations, due to the need for specialized equipment and labor-intensive processing, especially when only periodic analysis is required, and the increasing complexity of managing large volumes of video content from multiple sources.
Innovation Solution
A method and system for remotely analyzing multimedia content, where multimedia content is obtained from remote client devices, configured for analysis based on its nature, and processed by a network-connected server entity to extract characteristics, reducing the need for local processing and specialized equipment by offloading these tasks to remote servers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dedicated video analysis systems are deployed, then analysis capability is ensured, but cost and complexity increase prohibitively for small organizations
Solution Approach 1:
The patent introduces a server as an intermediary between client devices and video analysis processing. The server receives video content from clients, performs the analysis using centralized processing capabilities, and returns results to clients. This mediator approach allows small organizations to access sophisticated video analysis without deploying complex dedicated systems locally, resolving the contradiction between ensuring analysis capability and reducing system complexity.
2Area of stationary object
If more cameras are added to monitor larger areas, then coverage is improved, but processing requirements become difficult to manage
Solution Approach 1:
The patent merges multiple video processing functions into a single centralized server. Instead of each camera having its own processing unit, multiple camera feeds are consolidated and processed by one server with sufficient computing power. This combining approach allows the system to handle video content from multiple cameras covering larger areas while managing processing requirements centrally, avoiding the complexity of distributed processing across many devices.
3Adaptability or versatility
If manual viewing and recording of video data is performed, then flexibility is achieved, but labor intensity increases
Solution Approach 1:
The patent implements automated video analysis where the system performs data extraction and analysis automatically without requiring manual viewing and recording. The server autonomously processes video content, extracts relevant data, and generates results. This self-service approach maintains the flexibility of ad-hoc analysis while dramatically improving productivity by eliminating labor-intensive manual processes.
4Use of energy by moving object
If periodic analysis is performed instead of continuous monitoring, then resource usage is reduced, but analysis capability may be insufficient when needed
Solution Approach 1:
The patent creates a dynamic system where the analysis frequency and resource allocation can be adjusted based on needs. The centralized server architecture allows the system to scale resources dynamically - using fewer resources during periodic analysis and allocating more resources when continuous monitoring or urgent analysis is required. This dynamic approach balances resource usage with analysis availability, allowing the system to adapt to different operational requirements.
Data Source
AI summary
A method and system are provided for remotely analyzing multimedia content, in particular video, and extracting information from such multimedia content. The system analyses, e.g. a video file by way of an FTP, file upload or streaming data etc., and configuration settings specified in one embodiment by a separate entity at one of multiple server entities. The system also comprises one or more remote server entities utilizing data storage and data processing capabilities. In one embodiment the client sends a video source and configuration settings over a network, the remote server accepts the video source, generates configuration settings, and a data processing module analyzes the video content to extract data from the video.