Client Device Content Identification Using Local Processing
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Solution Overview
Problem
Existing content identification systems require user interaction and are computationally intensive, leading to delays in identifying media content due to limited server capacity, often missing opportunities for timely identification.
Innovation Solution
A method where a client device determines the identity of media content and its rendering source using local information, then sends relevant data to a content recognition server for confirmation, allowing for continuous and passive content identification without relying solely on server processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a central server performs computational intensive procedures to identify content of media samples, then content identification accuracy is improved, but response time deteriorates due to limited server capacity and high request volume
Solution Approach 1:
The content identification system is segmented into multiple independent content identification servers instead of relying on a single central server. Each server can independently process media sample requests, distributing the computational load across multiple nodes. This segmentation increases overall system capacity and reduces response time while maintaining identification accuracy through parallel processing of identical algorithms.
2Use of energy by moving object
If content identification requests are processed only after user initiation, then server computational load is reduced, but identification timing is delayed causing missed opportunities for real-time content recognition
Solution Approach 1:
The client device performs preliminary content identification processing locally before submitting requests to the server. The client extracts features from media samples and attempts local matching against a database of known content. This preliminary action reduces the volume of requests requiring server processing and enables faster local identifications, while still allowing server assistance for unrecognized content.
3Loss of time
If multiple content identification servers are deployed to reduce delays, then response time is improved, but system complexity increases
Solution Approach 1:
A load balancer or intermediary component is introduced to manage traffic distribution across multiple content identification servers. This intermediary receives requests from client devices, distributes them appropriately across available servers, and aggregates responses. This approach enables multiple servers to work in parallel reducing response time, while the intermediary abstracts the complexity of server management from client devices.
Data Source
AI summary
Methods and systems for identifying information of a broadcast station and information of broadcasted content are provided. In one example, a method includes receiving at a client device media content rendered by a media rendering source, and the client device making an attempt to determine an identity of the media content based on information stored on the client device. The method also includes based on the attempt of the client device to determine the identity of the media content, determining an identity of the media rendering source. The method further includes based on the attempt of the client device to determine the identity of the media content and on determining the identity of the media rendering source, sending information indicative of the media content to a content recognition server to determine the identity of the media content.