Bullet Screen Content Processing for Seamless Multimedia Querying
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users face inefficiencies when querying multimedia data on devices like mobile phones and tablets, as they must pause playback to search for information, disrupting their experience.
Innovation Solution
A bullet screen content processing method that parses and annotates user-input content in real-time, integrating keyword-based label information into the multimedia data stream without interrupting playback, using word segmentation and semantic recognition to provide automatic responses within a hovering, semitransparent display format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users pause playback to search for information, then search accuracy is improved, but playback efficiency deteriorates
Solution Approach 1:
The system performs preliminary word segmentation and semantic recognition on bullet screen content before the user needs to search, pre-processing the content into structured annotations with keywords and meanings. This preliminary action enables fast, accurate search results without requiring the user to pause playback, thus maintaining both search accuracy and playback efficiency.
Solution Approach 2:
The patent introduces an intermediary processing layer between the bullet screen content and the search query. This intermediary system automatically segments words, recognizes semantics, and generates annotations that bridge the user's search intent with the multimedia content, enabling accurate information retrieval without interrupting playback.
2Adaptability or versatility
If users switch to another search application, then search functionality is improved, but user experience deteriorates
Solution Approach 1:
The patent merges the search functionality with the multimedia playback interface by integrating bullet screen content processing directly into the playback system. The word segmentation and semantic recognition features are combined with the search function, allowing users to query information within the same application without switching to another search application, thus improving both functionality and user experience.
Solution Approach 2:
The system provides multi-functionality by enabling the multimedia player to perform not only playback but also automatic word segmentation, semantic recognition, and search operations. This universal approach allows a single application to handle multiple functions (playback, content analysis, search), eliminating the need to switch applications and enhancing user experience.
3Loss of information
If automatic content annotation is performed, then information accessibility is improved, but processing time increases
Solution Approach 1:
The system performs partial word segmentation and semantic recognition on bullet screen content, processing only the necessary portions to generate useful annotations. By applying partial action to the most relevant content segments rather than processing the entire content stream, the system achieves good information accessibility while minimizing processing time and computational overhead.
Data Source
AI summary
A bullet screen content processing method is described. Bullet screen content from a user terminal in association with currently played multimedia data is obtained. A content annotation corresponding to the bullet screen content is obtained by parsing the bullet screen content, where the content annotation includes at least one keyword segment corresponding to the bullet screen content. Label information corresponding to the content annotation is searched. The bullet screen content and the label information are added to a bullet screen data stream that is output in association with the multimedia data.


