Location-Based Video Data Transmission via Metadata Indexing
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Solution Overview
Problem
Existing video retrieval technologies in the surveillance industry face challenges with scalability, latency, and compliance due to reliance on Content Delivery Networks (CDN) and heavy pre-processing, which do not account for the physical location of video data or user privacy and compliance policies, leading to inefficient data retrieval and playback.
Innovation Solution
A method for location-based video data delivery using a metadata indexing system that abstracts access to media files across disparate storage technologies, prioritizing data retrieval based on estimated retrieval time and additional metadata to optimize delivery, allowing clients to retrieve data directly from multiple sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If Content Delivery Networks (CDN) are used to distribute video data, then delivery speed and resilience are improved, but scalability is reduced and privacy/compliance concerns arise
Solution Approach 1:
The patent segments the centralized CDN model into a distributed peer-to-peer network where video data is divided into chunks stored across multiple peer nodes. This segmentation eliminates the single-point bottleneck of traditional CDN while maintaining fast delivery through direct peer-to-peer transmission, thereby improving both speed and scalability simultaneously.
Solution Approach 2:
The patent implements a nested architecture where the peer-to-peer network operates within the existing HTTP/TCP protocol framework. The P2P video delivery mechanism is nested within standard web infrastructure, allowing the system to leverage existing network protocols while providing advanced distributed delivery capabilities that overcome CDN limitations.
2Manufacturing precision
If video data is pre-processed and transcoded into multiple resolutions, then adaptive streaming quality is improved, but video availability latency increases
Solution Approach 1:
Instead of performing heavy transcoding pre-processing before video becomes available, the system performs preliminary indexing and chunking of video data during ingestion. The actual adaptive streaming quality adjustment happens dynamically at playback time based on real-time network conditions, eliminating the latency caused by pre-transcoding while maintaining streaming quality.
Solution Approach 2:
The patent implements dynamic adaptive streaming where video quality and resolution are adjusted in real-time based on current network conditions and client capabilities. Rather than static pre-processing, the system dynamically selects and delivers appropriate video chunks, reducing latency while maintaining optimal streaming quality throughout playback.
3Device complexity
If video data is retrieved from single storage location, then system complexity is reduced, but retrieval efficiency and speed are worsened
Solution Approach 1:
The patent segments video data into multiple chunks distributed across different peer nodes in the network. This segmentation enables parallel retrieval of multiple video chunks simultaneously from different sources, dramatically improving retrieval efficiency while the modular chunk-based architecture keeps system complexity manageable through standardized access protocols.
Solution Approach 2:
The patent creates a universal peer-to-peer video delivery mechanism that can retrieve video data from multiple disparate storage locations using a unified protocol. The system universally handles video retrieval from various sources (local peers, remote peers, CDN fallback) through a single standardized interface, improving retrieval efficiency without significantly increasing complexity.
Data Source
AI summary
A method for retrieving data and transmitting the data upon receiving a client request, wherein the data is from a video surveillance system and encoded into groups of pictures, each group of pictures being assigned at least one identifier and/or at least one timestamp. Receiving a request for the data from a client device, wherein the data request from the client device is associated with at least one identifier and/or at least one timestamp. Retrieving a metadata object including a group of pictures and indicating at least two storage options where the data is retrievable, the metadata object being retrieved based on the at least one identifier and/or at least one timestamp. Assigning a rank for the data stored in a first storage option and for the data stored in a second storage option and transmitting the data from a storage option with the greater rank to the client device.