Multimedia Query Rewriting for Real-Time Contextual Search
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Solution Overview
Problem
Users face challenges in obtaining immediate answers to questions about multimedia content, such as identifying objects in videos, due to the time-consuming process of typing queries and navigating through search engine results, which diverts attention from the content.
Innovation Solution
A system that extracts entities from multimedia content, generates query rewrite candidates based on these entities and user queries, scores and ranks them, and provides relevant results without interrupting content consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users type queries and navigate through search engine results to find answers about multimedia content, then they can obtain information, but the process is time-consuming and diverts attention from the content
Solution Approach 1:
The system performs preliminary actions by automatically generating query rewrite candidates from extracted entities and query terms before the user needs to search. Multiple candidate queries are prepared in advance based on the multimedia content context, so when a user asks a question, the system already has reformulated queries ready to execute, eliminating the time-consuming manual search process.
Solution Approach 2:
The system introduces an intermediary component that acts as a bridge between the user's simple query and the search engine. This intermediary automatically rewrites queries by combining query terms with extracted entities from the multimedia content, generating more precise search queries without requiring the user to manually formulate them, thus improving information retrieval efficiency while saving time.
2Loss of information
If the system generates multiple query rewrite candidates and processes them through a search engine, then relevant results can be found, but the system complexity increases
Solution Approach 1:
The system segments the query processing task into distinct components: extracting entities from multimedia content, generating query rewrite candidates from query terms and entities, scoring the candidates, and selecting the best one. This segmentation allows each component to be handled independently and efficiently, managing system complexity while maintaining high query accuracy through multiple processed candidates.
Solution Approach 2:
The system changes parameters by introducing scoring mechanisms that evaluate query rewrite candidates based on multiple criteria. By adjusting and optimizing scoring parameters, the system can control the balance between query accuracy and processing complexity, selecting the most promising candidates without exhaustively processing all possibilities, thus managing complexity while maintaining accuracy.
3Ease of operation
If the system provides search results while users consume multimedia content, then user experience is improved, but the system must operate in real-time without interrupting content playback
Solution Approach 1:
The system performs preliminary actions by pre-extracting entities from the multimedia content and pre-generating potential query rewrite candidates during content playback. This preparation work is done in the background without interrupting the user's content consumption, so when a user submits a query, the system can quickly process and return results in real-time, improving both user experience and response speed.
Data Source
AI summary
Techniques for contextual search on multimedia content are provided. An example method includes extracting entities associated with multimedia content, wherein the entities include values characterizing one or more objects represented in the multimedia content, generating one or more query rewrite candidates based on the extracted entities and one or more terms in a query related to the multimedia content, providing the one or more query rewrite candidates to a search engine, scoring the one or more query rewrite candidates, ranking the scored one or more query rewrite candidates based on their respective scores, rewriting the query related to the multimedia content based on a particular ranked query rewrite candidate and providing for display, responsive to the query related to the multimedia content, a result set from the search engine based on the rewritten query.