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Video texture analysis based on HEVC encoding statistics

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

Original languageEnglish
Title of host publicationPicture Coding Symposium (PCS), 2016
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages5
ISBN (Electronic)9781509059669, 9781509059676
DOIs
StatePublished - 24 Apr 2017

Abstract

In this paper, an extensive study of different video texture properties based on encoding statistics extracted from the HEVC HM reference software is presented. Mode selection, partitioning, motion vectors and bitrate allocation are among the statistics obtained from the encoder. For this study, a new dataset
of homogeneous static and dynamic video textures, HomTex, is proposed. A comprehensive investigation of the results reveals a significant variability of coding statistics within dynamic textures, suggesting that this category should be further split into two relevant subcategories, continuous dynamic textures and discrete dynamic textures. This case is supported by an unsupervised
learning approach on the statistics extracted. Finally, following the results obtained, some suggestions of improvements in video texture coding are presented.

    Research areas

  • Texture Classification, Video Coding, Encoding Statistics, Dynamic Textures, HEVC

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IEEE at http://ieeexplore.ieee.org/document/7906312/. Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 4 MB, PDF-document

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