Broadcasting System Automatic Progress Data Generation
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Solution Overview
Problem
Current broadcasting systems for IPTV services lack the ability to automatically generate and provide real-time progress data for product information, discount information, and delivery information related to broadcast images, limiting user interaction and service efficiency.
Innovation Solution
A broadcasting system that includes a media cloud server and a set-top box, where the media cloud server receives and generates broadcast image data and transmission progress data, and transmits it to the set-top box, which controls the output to external devices, allowing for user input-driven regeneration and sequencing of data such as size, color, discount, broadcast time, and review information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If broadcast transmission progress data is manually prepared and provided for each broadcast image, then accuracy of product information can be maintained, but service efficiency and user interaction are limited
Solution Approach 1:
The system enables automatic generation of broadcast transmission progress data by the server itself, eliminating the need for manual data preparation. The server extracts product information, discount information, and delivery information directly from broadcast images using image recognition and text extraction technologies, allowing the system to serve itself rather than requiring external manual input for each broadcast.
Solution Approach 2:
The patent replaces manual mechanical data entry and processing with automated computer vision and optical character recognition systems. The server uses image processing algorithms to automatically extract and structure product information from broadcast images, substituting human operators with automated technological systems that can process multiple images simultaneously and continuously.
2Ease of operation
If detailed product information is provided in real-time during broadcasts, then user interaction and shopping experience are improved, but data processing requirements and system complexity increase
Solution Approach 1:
The system segments the complex task of processing broadcast content into distinct modular components: image reception modules, text extraction modules, data structuring modules, and transmission modules. Each component handles a specific aspect of the data processing pipeline, allowing for independent optimization and maintenance while collectively enabling comprehensive real-time product information extraction and delivery.
Solution Approach 2:
The server is designed with multi-functional capabilities to handle various types of broadcast content (different formats, resolutions, and styles) using the same core image recognition and text extraction infrastructure. The system can process product information, discount information, and delivery information from diverse broadcast sources through a unified processing framework, reducing the need for separate specialized systems.
3Productivity
If automated generation of broadcast transmission progress data is implemented, then service efficiency is improved, but data accuracy and reliability may be compromised
Solution Approach 1:
The system incorporates feedback mechanisms where the server continuously monitors and validates extracted product information against known data patterns and constraints. The automated system compares extracted text with expected data formats, checks for logical consistency in product information, and uses feedback loops to correct extraction errors, thereby maintaining high data accuracy while operating at automated speeds.
Solution Approach 2:
The server performs preliminary validation and verification of extracted data before final transmission. Image quality assessment, text extraction confidence scoring, and data format pre-checking are conducted in advance of the main data processing workflow, ensuring that only high-quality, accurate data proceeds through the full processing pipeline, thus maintaining reliability while preserving automated efficiency.
Data Source
AI summary
A broadcasting system that automatically generates broadcast transmission progress data generates and provides broadcast transmission progress data for real-time broadcast images including product information, discount information, and delivery information related to real-time broadcast images.