Parameter Adjustment for News Video Commentary Generation
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Solution Overview
Problem
Users face inefficiency in acquiring news as different media reports on the same event contain overlapping information, requiring users to sift through multiple reports to extract desired information.
Innovation Solution
A method and apparatus that adjust parameters for generating a video commentary on a news cluster by acquiring a current parameter value, determining a video evaluation score, performing feature extraction, and inputting these into pre-trained networks to optimize parameter values, thereby improving video evaluation and user engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple news reports from different media are provided to users, then users can access diverse perspectives on news events, but users must read multiple reports to extract desired information, resulting in low efficiency
Solution Approach 1:
The patent merges multiple news reports into a single synthesized video commentary that integrates information from different media sources. The system clusters related news reports and generates a unified video output that combines key information from multiple sources, allowing users to consume consolidated news content in one video rather than reading multiple separate reports.
Solution Approach 2:
The patent introduces an intermediary system that automatically processes multiple news reports and generates a synthesized video commentary. This intermediary system includes modules for news clustering, parameter adjustment, and video generation, acting as a mediator between raw news reports and user consumption, thereby eliminating the need for users to manually sift through multiple reports.
2Manufacturing precision
If parameters for video generation are manually adjusted, then video quality can be improved, but the process becomes complex and time-consuming
Solution Approach 1:
The patent implements a feedback mechanism where the system automatically evaluates video quality metrics and adjusts generation parameters accordingly. The video evaluation module assesses generated videos and provides feedback to the parameter adjustment module, which then fine-tunes parameters such as speech synthesis speed, image selection, and video duration to optimize quality without manual intervention.
Solution Approach 2:
The patent enables the video generation system to self-adjust parameters automatically based on evaluation feedback. The system performs self-optimization by iteratively adjusting parameters and re-evaluating video quality, eliminating the need for manual parameter tuning while maintaining high video generation quality through automated closed-loop control.
3Measurement precision
If video evaluation is performed manually, then accurate assessment can be achieved, but the process is inefficient and cannot scale
Solution Approach 1:
The patent replaces manual video evaluation with an automated evaluation system that uses computer vision and natural language processing algorithms. The system automatically analyzes video content, assesses quality metrics such as information accuracy, engagement level, and production quality, and generates evaluation scores without human intervention, thereby achieving both accuracy and scalability.
Solution Approach 2:
The patent transforms the video evaluation process from manual qualitative assessment to automated quantitative measurement by defining specific evaluation parameters and metrics. The system measures video quality using predefined parameters such as information accuracy score, user engagement score, and production quality score, enabling efficient automated comparison and evaluation across multiple videos.
Data Source
AI summary
A method and apparatus for adjusting a parameter are provided. The method may include: acquiring a current value of at least one parameter which is in a process of generating a video corresponding to a commentary of the news cluster based on a news cluster; determining a video evaluation score of the video which is generated based on the news cluster and according to the current value of the at least one parameter; performing feature extraction on the current value of the at least one parameter to obtain a feature representation;inputting the feature representation and the determined video evaluation score into a pre-trained evaluation network to obtain a predicted video evaluation score; inputting the feature representation and the predicted video evaluation score into a pre-trained operation network, to obtain current operation information; and adjusting the current value of the at least one parameter based on the current operation information.