Open AccessClassification of Degradation Types Based on Distribution of Blocky Blocks for IP‐Based Video Services
Author(s) -
Min KyungYeon,
Lee SeonOh,
Sim DongGyu,
Lee HyunWoo,
Ryu Won,
Lee KyoungHee
Publication year - 2011
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.11.0210.0277
Subject(s) - computer science , degradation (telecommunications) , block (permutation group theory) , feature (linguistics) , video quality , sensitivity (control systems) , data mining , real time computing , artificial intelligence , pattern recognition (psychology) , electronic engineering , telecommunications , mathematics , engineering , metric (unit) , linguistics , philosophy , operations management , geometry
In this letter, we propose a new quality measurement method to identify the causes of video quality degradation for IP‐based video services. This degradation mainly results from network performance issues and video compression. The proposed algorithm identifies the causes based on statistical feature values from blocky block distribution in degraded IP‐based videos. We found that the sensitivity and specificity of the proposed algorithm are 93.63% and 91.99%, respectively, in comparison with real error types and subjective test data.