Skip to content

A Synthetic Video Dataset for Video Compression Evaluation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2019 26th IEEE International Conference on Image Processing (ICIP 2019)
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages5
ISBN (Electronic)9781538662496
ISBN (Print)9781538662502
DateAccepted/In press - 30 Apr 2019
DatePublished (current) - 26 Aug 2019

Publication series

ISSN (Print)1522-4880


In this paper, a new Synthetic video Texture dataset (SynTex) is introduced. It was generated using a Computer Graphics Imagery (CGI) environment and offers the capability of being able to generate many versions of the same scenes with different video parameters. This will support research in video compression enabling researchers to understand and model the relationship between video content and its coding parameters. To validate that SynTex is suitable for this purpose, firstly, typical spatio-temporal descriptors were calculated and compared against existing real video datasets with similar parameters. Then, the encoding statistics of SynTex were extracted using the HEVC reference software and compared to natural video datasets. The comparisons show that SynTex exhibits a comparable coverage over the spatial and temporal domain and it has similar encoding statistics to real video datasets.

    Research areas

  • Synthetic Video Dataset, Video Texture, Video Compression, HEVC Coding Statistics

Download statistics

No data available



  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the accepted author manuscript (AAM). The final published version (version of record) is available online via IEEE at . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 3 MB, PDF document

    Licence: Other


View research connections

Related faculties, schools or groups