Service-Specific Video Coding Test Sequences Using Complexity Clusters
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Solution Overview
Problem
Current video coding test sequences fail to accurately evaluate the performance of video coders in service-specific scenarios due to a lack of comprehensive coding complexity and content category distribution, leading to inaccurate performance assessments.
Innovation Solution
A method for determining a video coding test sequence that involves selecting class-representative videos by clustering based on preset coding complexity and content categories to match the target distribution, constructing a test sequence that reflects service-specific requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If general test sequences (JCTVC video) are used for coding performance testing, then basic video features are covered including different resolutions and frame rates, but the evaluation accuracy for service-specific scenarios is insufficient due to lack of comprehensive coding complexity and content category distribution
Solution Approach 1:
The patent segments the test sequence construction process into distinct stages: classifying videos by content categories, clustering by coding complexity values, and selecting representative videos from each cluster. This segmentation allows systematic control over both content category distribution and coding complexity distribution, resolving the contradiction between evaluation accuracy and service-specific scenario coverage
Solution Approach 2:
The patent changes the parameters of test sequence construction by introducing content category labels and coding complexity values as key parameters. By controlling the distribution of these parameters to match target distributions, the patent achieves both high evaluation accuracy and comprehensive service-specific scenario coverage
2Reliability
If test sequences cover diverse content categories and coding complexities, then service-specific evaluation relevance is improved, but the complexity of test sequence construction increases
Solution Approach 1:
The patent creates simplified representations (representative videos) that copy the essential characteristics of larger video groups. By selecting one representative video from each cluster defined by content category and coding complexity, the patent reduces construction complexity while maintaining evaluation relevance through the representative samples
3Measurement precision
If representative videos are selected to match target content category distribution, then evaluation pertinence is enhanced, but the difficulty of selecting appropriate class-representative videos increases
Solution Approach 1:
The patent implements feedback control in the video selection process by comparing the actual content category distribution of selected representative videos against the target distribution. This feedback mechanism guides the selection of class-representative videos to ensure evaluation pertinence while providing clear selection criteria that reduce difficulty
Data Source
AI summary
An method for determining a video coding test sequence, an electronic device, and a computer readable storage medium are provided. The method includes: determining a candidate video set including multiple candidate videos corresponding to a target service requirement; classifying the candidate videos by content categories to obtain a target distribution of content categories; clustering the candidate videos by values of a preset coding complexity to obtain multiple video classes; selecting from each of the video classes respectively a target class-representative video such that an actual distribution of content categories is consistent with the target distribution of content categories; and constructing a target video coding test sequence based on the target class-representative videos.