Video texture analysis for VVC content

Examining video characteristics, particularly leveraging filters such as Canny and calculating image standard deviation, prior to the video coding process is a crucial preprocessing step that enhances the efficiency and quality of the coding workflow. By applying filters like Canny, valuable insight...

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Bibliographic Details
Main Authors: Fatma, Belghith, Taheni, Damak, Sonda, Ben Jdidia, Bouthaina, Abdallah, Ali, Ben Ayed Mohamed, Nouri, Masmoudi
Format: Conference Proceeding
Language:English
Subjects:
Canny
Filters
Graphical models
Image coding
Image edge detection
Image texture
standard deviation
texture
Video coding
Video content
Video sequences
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Summary:Examining video characteristics, particularly leveraging filters such as Canny and calculating image standard deviation, prior to the video coding process is a crucial preprocessing step that enhances the efficiency and quality of the coding workflow. By applying filters like Canny, valuable insights into the spatial distribution of edges are gained, enabling precise identification of regions with varying complexity. Simultaneously, the calculation of standard deviation provides a quantitative measure of pixel intensity variations, aiding in the assessment of overall image texture. This meticulous analysis, as proposed by our method, enables the optimization of coding parameters, including the selection of suitable compression algorithms and the refinement of spatial and temporal redundancy reduction strategies. Ultimately, the strategic incorporation of filter-based analyses in the preprocessing phase not only refines video coding processes but also lays the foundation for improved compression outcomes, addressing the unique characteristics of each video sequence with precision.
ISSN:2687-878X
DOI:10.1109/ATSIP62566.2024.10639036