Buffered Media Context Retrieval for Accurate Visual Search
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Solution Overview
Problem
Existing user devices struggle to accurately determine a user's informational need from a single frame of media content, leading to inefficient and inaccurate search queries, which wastes search system resources and bandwidth.
Innovation Solution
Storing buffered media data on a user device for a predefined time period, processing it to identify contextual information, and sending it to a search processing system for query-independent or augmented search queries, reducing the need for explicit user input and optimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If buffered media data is sent to the search processing system, then the accuracy of contextual information is improved, but the bandwidth consumption increases
Solution Approach 1:
The patent extracts only the most relevant buffered media data (recent frames or segments) and sends it to the search processing system, rather than transmitting the entire media buffer. This selective extraction maintains measurement precision by providing sufficient contextual information while reducing bandwidth consumption by excluding redundant data.
Solution Approach 2:
The system sends a partial amount of buffered media data (e.g., last few seconds or key frames) rather than the complete buffer. This partial action provides enough contextual information for accurate search processing without the excessive bandwidth consumption of transmitting all buffered data, achieving an optimal balance between accuracy and resource usage.
2Ease of operation
If buffered media data is processed to identify contextual information, then the user experience is improved, but the processing time increases
Solution Approach 1:
The buffered media data is already prepared and stored in the buffer before the search operation is triggered. This preliminary action means the data is readily available for immediate processing, reducing the time required to retrieve and prepare media data while still enabling enhanced user experience through contextual information.
Solution Approach 2:
The system extracts only essential contextual information from the buffered media data (such as key frames, metadata, or salient features) rather than processing the entire data set. This selective extraction maintains user experience by providing relevant contextual information while minimizing processing time through focused analysis of critical data elements.
3Reliability
If query-independent search is implemented using buffered media data, then the number of erroneous queries is reduced, but the complexity of the search system increases
Solution Approach 1:
The buffered media data serves as an intermediary that bridges the user's search intent and the search processing system. By analyzing this intermediate data, the system can infer contextual information and formulate more accurate search queries, reducing erroneous queries while the added complexity is managed through standardized processing pipelines and existing media analysis tools.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing contextual information for presented media. In one aspect, a method includes storing in a buffer, on a first user device, media data as buffered media data, the buffered media data being a most recent portion of media data received at the first user device, the most recent portion inclusive of the media data received from a present time to a prior time that is fixed relative to the present time; responsive to a search operation invocation at the present time, sending the buffered media data to a search processing system that is remote from the first user device; and receiving, from the search processing system and in response to the buffered media data, contextual information regarding an entity that the data processing system identified from processing the buffered media data.


