Analysis of spatial and temporal information variation for 10-bit and 8-bit video sequences

    Research output: Contribution to conferencePaperpeer-review

    Abstract

    Spatial Information (SI) and Temporal Information (TI) have been used widely as an approximate estimation of video complexity. Recently, SI (and TI) have found use in many other applications such as Quality of Experience modeling, Bandwidth and Rate-distortion modeling, etc., for both traditional and non-traditional (gaming, dynamic vision sensors, etc.) videos. A systematic study on SI and TI for videos, investigating the effect of different video encoding and processing steps has been missing so far. Also, SI and TI estimation has been limited to 8-bit videos, while there has been increasing popularity and usage of 10-bit videos. Towards this end, we present in this paper a comprehensive evaluation of the variation of SI and TI for different 8-bit and 10-bit videos. The effects of encoders, encoding settings, temporal pooling, resolution, etc. on SI and TI are presented in this study.
    Original languageEnglish
    DOIs
    Publication statusPublished - Sept 2019
    Event2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) - Limassol, Cyprus
    Duration: 11 Sept 201913 Sept 2019

    Conference

    Conference2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)
    Period11/09/1913/09/19

    Bibliographical note

    Note: Published in: 2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). Piscataway, NJ : IEEE. ISSN 2378-4865 ISBN 9781728110172.

    Organising Body: The Institute of Electrical and Electronics Engineers

    Keywords

    • Computer science and informatics

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    • Analysis of spatial and temporal information variation for 10-bit and 8-bit video sequences

      Barman, N., Khan, N. & Martini, M., Sept 2019, Published in: 2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). Piscataway, NJ : IEEE. ISSN 2378-4865 ISBN 9781728110172. Organising Body: The Institute of Electrical and Electronics Engineers Organising Body: The Institute of Electrical and Electronics Engineers.

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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