Objective Video Quality Assessment — Towards Large Scale Video Database Enhanced Model Development
作者： Marcus BARKOWSKY , Enrico MASALA , Glenn VAN WALLENDAEL , Kjell BRUNNSTRÖM , Nicolas STAELENS
关键词: Packet loss 、 Information retrieval 、 Software verification and validation 、 Syntax (programming languages) 、 Data mining 、 Video quality 、 Bitstream 、 Computer science 、 Database 、 XML 、 Structural similarity 、 Communications system 、 Encoder
摘要: SUMMARY The current development of video quality assessment algorithms suffers from the lack available sequences for training, verification and validation to determine enhance algorithm’s application scope. Joint Effort Group Video Quality Experts (VQEG-JEG) is currently driving efforts towards creation large scale, reproducible, easy use databases. These databases will contain bitstreams recent encoders (H.264, H.265), packet loss impairment patterns impaired bitstreams, pre-parsed bitstream information into files in XML syntax, well-known objective measurement outputs. database continuously updated enlarged using reproducible processing chains. Currently, more than 70,000 are statistical analysis algorithms. New research questions posed as designed verify validate models on a very testing validating various scopes applications, while subjective has be limited comparably small subset database. Special focus given principles guiding development, some results illustrate practical usefulness such with respect detailed new
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