Video Frame Dependency Segmentation for QoS Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing video streaming technologies fail to effectively differentiate the quality of service (QoS) for video streams on a per-frame basis, leading to unreliable transmission and increased costs due to uniform treatment of all frames, which results in noticeable glitches when key frames are dropped, affecting user experience and video analytics.
Innovation Solution
The proposed solution involves evaluating frame dependencies to prioritize and deliver high-coupling frames using more reliable mechanisms, such as QoS streaming protocols, replication, and caching at edge resources, while maintaining cost-effectiveness by only employing high-reliability delivery on high-priority frames.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If uniform transmission method is used for all video frames, then transmission cost is reduced, but quality of service deteriorates due to frame drops affecting dependent frames
Solution Approach 1:
The patent segments video frames into different priority levels (high-priority key frames and low-priority non-key frames) based on their dependency relationships. This segmentation allows differential transmission strategies to be applied: high-priority frames receive reliable transmission mechanisms while low-priority frames use cost-effective methods, thereby improving overall QoS without uniformly increasing complexity across all frames.
Solution Approach 2:
The patent applies local quality by assigning different transmission qualities to different frame types. High-priority frames (key frames) are transmitted with high reliability using QoS protocols and replication, while low-priority frames (non-key frames) use standard transmission. This localized quality differentiation resolves the contradiction by concentrating reliability resources where they are most needed rather than applying uniform complexity across all frames.
2Reliability
If high-reliability transmission is applied to all frames, then quality of service is improved, but transmission cost increases
Solution Approach 1:
The patent divides frames into high-priority and low-priority segments based on dependency analysis. Only high-priority frames (key frames that other frames depend on) receive high-reliability transmission treatments including QoS protocols and replication. Low-priority frames use standard transmission methods. This segmentation ensures delivery reliability for critical frames while avoiding unnecessary transmission costs for non-critical frames.
Solution Approach 2:
The patent changes the transmission parameter (reliability level) based on frame priority. High-priority frames transmit with high reliability parameters (QoS protocols, replication), while low-priority frames use low reliability parameters (standard transmission). This parameter differentiation resolves the contradiction by matching transmission cost to actual frame importance rather than applying uniform high cost to all frames.
3Manufacturing precision
If key frames are transmitted with higher priority, then video rendering quality is improved, but transmission complexity increases
Solution Approach 1:
The patent performs preliminary action by analyzing frame dependencies and classifying frames into priority levels before transmission begins. This pre-classification allows the transmission system to apply appropriate reliability measures in advance, ensuring high-priority frames receive adequate protection. The preliminary classification simplifies the transmission process rather than increasing complexity during actual transmission, as the prioritization logic is established beforehand.
Solution Approach 2:
The patent introduces an intermediary frame dependency analysis mechanism that mediates between the video source and transmission channel. This intermediary analyzes frame relationships, identifies key frames, and generates priority labels that guide transmission decisions. Rather than increasing transmission complexity, this intermediary layer provides structured information that simplifies the transmission process by enabling automated priority-based routing and reliability applications.
Data Source
AI summary
In one embodiment, an apparatus comprises processing circuitry to: receive, via a network interface, a video stream comprising a plurality of video frames; identify a plurality of dependencies among the plurality of video frames; identify, based on the plurality of dependencies, a first subset of video frames to be transmitted using a first transmission method and a second subset of video frames to be transmitted using a second transmission method, wherein the first subset of video frames and the second subset of video frames are identified from the plurality of video frames, and wherein the first transmission method provides a higher quality of service than the second transmission method; transmit, via the network interface, the first subset of video frames to a corresponding destination using the first transmission method; and transmit, via the network interface, the second subset of video frames to the corresponding destination using the second transmission method.