Multimedia Content Publishing with Automatic Relevance-Based Topic Selection

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Current multimedia content publishing methods rely heavily on manual topic editing, which is time-consuming and laborious, leading to irrelevant or missing topics that hinder effective search and understanding of the content.

Innovation Solution

A method and apparatus that automatically provide users with relevant topics for multimedia content by determining candidate topics based on their relevance to the content, allowing users to select a target topic for publishing, thereby improving accuracy and reducing manual effort.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual topic editing is used, then users can customize topics for multimedia content, but it is time-consuming and laborious

Engineering Contradiction:

Improvetopic relevancy accuracyVSAvoidtime for topic editing

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system enables automatic topic generation where the multimedia content itself serves as the source for extracting topics. The system processes the content (video, audio, text) and automatically generates relevant topics without requiring manual user input, making the content serve its own tagging function.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the manual mechanical process of topic editing with an automated computational system. The system uses technology (automatic speech recognition, natural language processing, topic modeling) to substitute human manual labor in extracting and generating topics from multimedia content.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If manual topic editing is used, then users have control over topic selection, but the process is laborious and reduces productivity

Engineering Contradiction:

Improvecontent publishing efficiencyVSAvoidease of topic selection

Core Design Contradiction:

ProductivityVSEase of operation

Solution Approach 1:

The system automatically generates multiple candidate topics from the multimedia content itself, eliminating the need for users to manually create or search for topics. The content serves its own tagging function by providing the raw material for automatic topic extraction.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary topic generation and filtering before presenting options to the user. Multiple candidate topics are pre-generated and ranked by relevance, so when users do interact with the system, the most relevant topics are already prepared and presented in order of importance.

Inventive Principle:

Principle #10Preliminary action

3Loss of time

If automatic topic generation is implemented, then time is saved, but ensuring high relevancy of topics becomes challenging

Engineering Contradiction:

Improvetime for topic editingVSAvoidtopic relevancy accuracy

Core Design Contradiction:

Loss of timeVSMeasurement precision

Solution Approach 1:

The system incorporates feedback mechanisms where user interactions with automatically generated topics (selection, modification, rejection) are used to refine and improve the automatic topic generation process. This feedback loop enhances the accuracy and relevancy of topics over time.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent employs advanced computational techniques including automatic speech recognition, natural language processing, and topic modeling to replace manual topic creation. These technological substitutions maintain high relevancy by systematically analyzing the actual content rather than relying on user intuition.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

4Measurement precision

If multiple candidate topics are provided, then topic selection accuracy improves, but system complexity increases

Engineering Contradiction:

Improvetopic selection accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system performs preliminary filtering and ranking of topics based on relevance scores before presenting them to users. This preliminary action reduces the number of topics users need to evaluate while maintaining high accuracy, as only the most relevant candidates are presented in a structured order.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system uses feedback from user selections and system performance data to continuously refine the topic generation and ranking algorithms. This feedback mechanism optimizes the balance between providing multiple candidates for accuracy while managing system complexity through learned patterns.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS12393628B2Multimedia content publishing method and apparatus, electronic device, and storage medium

Publication Date: 2025.08.19 DOUYIN VISION CO LTD

AI summary

A multimedia content publishing method and apparatus, an electronic device and a storage medium. The method includes: determining a multimedia content to be published (S101); obtaining a plurality of candidate topics matching the multimedia content, the candidate topics being topics whose relevancy to the multimedia content meets a predetermined condition among topics included in a topic set (S102); determining a selected target topic among the plurality of candidate topics (S103); and sending multimedia content publishing information containing the target topic to a server in response to a multimedia content publishing request. According to the method, a topic having relatively high relevance to multimedia content can be automatically provided for a user, thus saving time for users to think about and edit topics and improving the accuracy of topic selection.