DocumentCode :
3707720
Title :
A video texture database for perceptual compression and quality assessment
Author :
Miltiadis Alexios Papadopoulos;Fan Zhang;Dimitris Agrafiotis;David Bull
Author_Institution :
Department of Electrical and Electronic Engineering, University of Bristol, BS8 1UB, UK
fYear :
2015
Firstpage :
2781
Lastpage :
2785
Abstract :
This paper presents a new publicly available video texture database (BVI Texture) that contains test sequences and subjective opinion scores. The database exhibits a wide range of static and dynamic textures together with some mixed content. Each sequence is indexed using various video feature descriptors that characterize its spatial activity, temporal activity, static texture content and dynamic texture content. Moreover, rate/distortion results for the new dataset are presented after compression using HEVC, alongside subjective quality evaluation data. The BVI texture database will provide utility in testing quality assessment metrics and emerging video compression methods, particularly those based on texture analysis and synthesis.
Keywords :
"Silicon","Testing","Bit rate","Spatial resolution","Quality assessment","Indexes"
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/ICIP.2015.7351309
Filename :
7351309
Link To Document :
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