• 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